Peter Thiel Bets on Ocean-powered Computing Future

Peter Thiel has led a $140 million investment in Oregon-based startup Panthalassa, which is building fleets of floating, wave-powered AI data centres designed to solve energy and cooling challenges. The funding values Panthalassa close to $1 billion and will accelerate deployment of its Ocean-3 pilot nodes in the Pacific by late 2026.

Panthalassa is a Portland, Oregon–based startup founded in 2016 by Garth Sheldon‑Coulson and others, focused on building floating, wave‑powered data centres. The $140 million Series B funding was led by Peter Thiel, along with investors including John Doerr, Marc Benioff’s TIME Ventures, Max Levchin’s SciFi Ventures, Hanwha Group, Super Micro Computer, Founders Fund, and Lowercarbon Capital

Panthalassa’s Vision

• Company: Panthalassa, founded in 2016 as a public benefit corporation.
• Mission: Harness ocean wave energy to power offshore AI data centres.
• Technology: Large floating steel “nodes” (≈85m long) that generate electricity from wave motion and use seawater for cooling.
• Connectivity: Data transmitted via low-Earth-orbit satellites (e.g., Starlink).
• Deployment Timeline:
  • 2026: Ocean-3 pilot series in the northern Pacific.
  • 2027: Commercial-scale operations.

Investment Details

• Lead Investor: Peter Thiel (PayPal & Palantir co-founder).
• Round Size: $140 million (Series B).
• Valuation: Nearly $1 billion.
• Other Backers: John Doerr, Marc Benioff’s TIME Ventures, Max Levchin’s SciFi Ventures, Hanwha Group, Super Micro Computer, Founders Fund, Lowercarbon Capital, among others.

Why Floating Data Centres?

• Energy Demand: AI workloads are straining land-based grids.
• Cooling Challenge: Traditional data centres consume massive amounts of water and power for cooling.
• Ocean Advantage:
  • Constant wave motion provides reliable renewable energy.
  • Seawater acts as free “supercooling,” extending chip lifetimes.
  • Offshore deployment avoids land costs, permitting delays, and grid bottlenecks.

Comparison: Land vs. Ocean Data Centres

Feature	Land-Based Centres	Panthalassa’s Ocean Nodes
Energy Source	Grid electricity (often fossil fuels)	Wave energy (renewable, abundant)
Cooling	Power-hungry chillers, water-intensive	Natural seawater cooling
Space Constraints	Limited land availability, high costs	Vast ocean space, scalable
Transmission	Grid + fiber networks	Satellite uplinks
Environmental Impact	High carbon footprint, local strain	Lower emissions, offshore footprint

Challenges Ahead

• Durability: Harsh ocean conditions could damage nodes.
• Maintenance: Offshore repairs are complex and costly.
• Regulation: Maritime laws and environmental approvals needed.
• Latency: Satellite transmission may not suit all workloads.

Big Picture

• Panthalassa’s project reflects a broader trend of moving AI infrastructure into unconventional environments—oceans, deserts, and even space.
• If successful, it could deliver ultra-low energy costs (≈$0.02/kWh) and redefine how the next generation of AI computing

Google Breaks Ground on $15 Billion AI Data Hub in Vizag

Google has officially begun construction of a massive $15 billion AI data centre hub in Visakhapatnam (Vizag), Andhra Pradesh, marking one of India’s largest foreign direct investments in digital infrastructure. The project will deliver gigawatt-scale compute, subsea cable connectivity, and clean energy systems, positioning Vizag as a global AI hub.

Key Facts About the Vizag AI Hub

• Investment Size: $15 billion (₹1.26 lakh crore), spread over five years (2026–2030).
• Scale: 1 GW hyperscale AI data centre in the first phase, with plans to expand to 5 GW capacity.
• Location: Spread across 600 acres in Rambilli, Adavivaram, and Tarluvada near Vizag.
• Partners: Google Cloud, AdaniConneX, and Bharti Airtel.
• Infrastructure: New subsea cable landing station, fiber-optic networks, clean energy systems.
• Timeline: Foundation stone laid on April 28, 2026; operations expected by September 2028.

Strategic Importance

• Largest Google project in India and its most expansive AI hub outside the U.S.
• Strengthens India’s AI ecosystem, supporting workloads in cloud computing, cybersecurity, and advanced data operations.
• Anchors India’s role in global AI supply chains, boosting subsea connectivity on the eastern coast.

Economic & Social Impact

• Job Creation: Thousands of direct and indirect jobs in AI engineering, data operations, and cybersecurity.
• Local Development: Andhra Pradesh government allocated 601 acres and promised water supply from the Godavari within 60 days.
• Talent Hub: Expected to reverse migration trends by making Vizag a digital gateway and tech talent destination.

Sustainability & Policy Push

• Clean Energy: Captive solar and renewable-linked power systems to reduce grid dependence.
• Government Priorities: IT Minister Ashwini Vaishnaw urged local server manufacturing, semiconductor packaging, and water-efficient cooling under the IndiaAI Mission.

Comparison with Other Mega Projects in Vizag

Project	Investor	Investment	Capacity	Timeline
Google AI Hub	Google Cloud + AdaniConneX + Airtel	$15B	1 GW (target 5 GW)	Ops by Sept 2028
Reliance AI Cluster	Reliance Industries	$17B	1.5 GW	Ops by Oct 2028

Outlook

Vizag is being compared to the Cyberabad transformation in Hyderabad 30 years ago, with the city now poised to become India’s next global tech hub.

Adani in Talks with Meta and Google to Build $100B Data Centers in India

Adani Group is in discussions with Meta and Google to establish partnerships for building large-scale data centers in India, part of Gautam Adani’s broader plan to invest around $100 billion in digital infrastructure. The talks are focused on leveraging Adani’s strengths in land acquisition and renewable energy to support hyperscale facilities that can meet the growing demand for cloud services and artificial intelligence workloads. Walmart-owned Flipkart is also negotiating with Adani for potential data center sites, underscoring the rising importance of India as a hub for digital infrastructure.

These partnerships, if finalized, would position Adani as a key enabler of global technology expansion in South Asia, while also aligning with sustainability goals through renewable energy integration. The group is evaluating multiple states for site development, though no agreements have yet been finalized. The move reflects India’s ambition to become a central player in the global cloud and AI ecosystem, even as other markets like China warn of oversupply in data centers.

Factor	Impact
Partnership with Meta & Google	Strengthens India’s role in global cloud and AI ecosystems
$100B Infrastructure Push	Signals one of the largest private investments in India’s digital economy
Flipkart’s Interest	Expands ecosystem beyond global tech giants to domestic e-commerce
Renewable Energy Integration	Aligns with sustainability goals and reduces operational costs
Site Exploration Across States	Ensures geographic diversification and resilience

This combination of global partnerships, domestic participation, and renewable energy integration could accelerate India’s readiness for cloud adoption and AI infrastructure, while positioning Adani as a central player in the region’s digital economy.

Singapore's RealVantage Enters Digital Infrastructure With $7M Equity Investment in U.S. Data Center

Global real estate investment platform RealVantage (‘RealVantage’, ‘the Company in Singapore’, ‘the Singapore Company’) – which operates as RV SG Pte. Ltd. in Singapore, a private limited company regulated by the Monetary Authority of Singapore and holds a Capital Markets Services license – is pleased to announce that the Singapore Company has allocated USD 7 million in equity capital in a United States 21-megawatt data center asset acquisition structured through global alternative investment firm Arcapita Group Holdings Limited (‘Arcapita’). The asset has a planned expansion from its current 21-megawatt capacity to 31 megawatts, expected to significantly enhance operating income and overall investment value.

The transaction signals RealVantage’s inaugural foray into the powerful digital infrastructure space; extending the Singapore Company’s portfolio exposure towards artificial intelligence-driven structural demand investment opportunities for its platform members beyond traditional real estate sectors. The acquisition reflects RealVantage's continued strategy of partnering with experienced local operators and trusted institutional managers to access high-quality, income-generating assets across developed markets; as well as oversee asset execution and value creation alongside RealVantage's co-investment capital. Ultimately, the investment is structured to deliver both near-term, income-backed returns and meaningful medium-term value uplift to create exit upside via significant operating income and investment value enhancement.

“Digital infrastructure is no longer a peripheral asset class. In fact, it is my belief that the most durable investment opportunities sit at the intersection of technology and real assets. Our entry into digital infrastructure marks a deliberate step towards capturing long-term value created by the AI revolution. The acquisition reflects our conviction in the structural tailwinds driving demand for data centers; demonstrating our commitment to bringing structural institutional-grade investment opportunities we seek to deliver for our platform members across global markets.” – states Keith Ong (‘Keith’), co-founder and group chief executive officer of RealVantage.

Set against a backdrop of high AI adoption and enterprise cloud demand, Minneapolis is a fast-growing data center hub underscored by an established and robust power infrastructure and heightened demand for high-density digital facilities – reflective of the accelerating pace of enterprise cloud migration and AI infrastructure build-out. Benefitting from a strong geographical risk profile with limited natural disaster exposure, Minneapolis remains a hub for a diverse economic base anchored by Fortune 500 companies, leading healthcare institutions and a growing technology sector.

Adds Keith: "Minneapolis is a market that ticks all the boxes for disciplined, digital infrastructure investing. The city's reliable power supply, institutional-grade corporate tenant base, and low-vacancy environment combine to make it one of the most attractive secondary data center markets in the United States. For RealVantage investors, this deal opens a new frontier: exposure to the infrastructure backbone of the AI economy, structured in the same institutional-grade, risk-managed framework that defines everything we do."

Arcapita is a global alternative investments firm with a management track record spanning over 30 years and a total transaction value exceeding $32 billion. The firm operates through offices in the United States, United Kingdom, Saudi Arabia, the United Arab Emirates, and Singapore, with affiliated offices in Bahrain. Arcapita’s investment strategy focuses on private equity and real estate, and this transaction further expands the firm’s portfolio of income-generating assets in markets supported by strong fundamentals, including the accelerating impact of artificial intelligence and digital transformation in the United States.

TCS in Talks to Build AI Data Centres in India

Tata Consultancy Services (TCS) is in advanced discussions with multiple hyperscalers to establish AI-focused data centres in India reported Business Standard and CNBCTV18 citing CEO K. Krithivasan’s remarks. The CEO confirmed in London that TCS is in advanced discussions with multiple hyperscalers. The reports highlighted India’s projected need for 10 GW of AI data centre capacity by 2030.

This follows its recent partnership with OpenAI, and reflects TCS’s ambition to position India as a global hub for AI infrastructure.

Hyperscalers are large-scale cloud providers that deliver highly scalable computing infrastructure, allowing businesses to expand or shrink resources based on demand.

Key points emerging from TCS talks with Hyperscalers:  

• Capacity Goal: India may require up to 10 gigawatts of AI data centre capacity by 2030, a massive scale-up compared to current facilities.
• Hyperscaler Partnerships: While names haven’t been officially disclosed, hyperscalers typically refer to players like Microsoft Azure, Amazon Web Services (AWS), Google Cloud, and Oracle Cloud.
• Strategic Importance: These centres would support AI model training, enterprise adoption, and sovereign cloud initiatives, aligning with India’s digital transformation goals.
• Economic Impact: Such investments could accelerate job creation, energy innovation, and AI-driven industry growth across sectors like healthcare, finance, and manufacturing.

This move signals that India is preparing not just to consume AI, but to host the infrastructure backbone for global AI development.

AMD Guarantees $300M Loan to Startup Crusoe, Expanding AI Data Center Capacity

AMD has agreed to guarantee a $300 million loan arranged by Goldman Sachs for cloud computing startup Crusoe. The financing will allow Crusoe to purchase and deploy AMD’s AI chips in a new data center in Ohio. The loan is secured by AMD’s chips and related equipment, and Crusoe was able to lock in an interest rate of about 6%, which is lower than typical market rates thanks to AMD’s backing. If Crusoe struggles to attract enough customers, AMD has committed to lease back the chips itself, reducing the startup’s risk exposure.

This move is strategically significant. For AMD, it’s a way to push its AI accelerators into the market and compete more directly with Nvidia, which has used similar financing tactics to expand its footprint.

For Crusoe, the guarantee provides capital to scale its data center capacity without bearing the full financial risk. For the broader AI ecosystem, it signals not only the growing demand for specialized chips but also the creative financing models being used to accelerate deployment in an increasingly competitive landscape.

Notably, this is part of a broader trend rather than a one-off. AMD’s $300 million loan guarantee for Crusoe is explicitly described as mirroring Nvidia’s playbook. Nvidia has previously used similar financing strategies to support cloud providers and startups building “GPU rental” services, essentially helping them acquire Nvidia chips while reducing upfront risk. The idea is that by guaranteeing loans or offering leaseback provisions, chipmakers can accelerate adoption of their hardware, even if the startups themselves don’t yet have stable customer demand.

So while AMD’s move with Crusoe is notable, it’s not unprecedented. Nvidia pioneered this approach, and AMD is now adopting it to compete in the AI infrastructure race. The trend reflects how semiconductor companies are evolving from pure hardware suppliers into financial enablers, using guarantees and creative financing to push their chips into data centers faster.

Nvidia has repeatedly supported cloud providers and AI startups by structuring loan guarantees, leasebacks, and vendor financing to help them acquire its GPUs. For example, in 2023 and 2024, Nvidia backed financing deals for smaller cloud companies that wanted to build GPU clusters but lacked the capital to purchase chips outright. These arrangements often included provisions where Nvidia would lease back the hardware if demand fell short, ensuring the startup wasn’t left with stranded assets.

AMD’s $300M guarantee for Crusoe is essentially a competitive response to Nvidia’s strategy. Both companies recognize that AI chips are expensive and scarce, and startups often can’t raise enough capital quickly. By stepping in as guarantors, chipmakers accelerate adoption of their hardware, lock in long-term customers, and expand their footprint in the AI data center market.

So, this is a trend wherein semiconductor companies are increasingly acting not just as suppliers, but as financial enablers. They’re using guarantees, leasebacks, and creative financing to push their chips into data centers faster, especially as competition for AI infrastructure heats up.

Timeline of Chipmaker Loan Guarantees & Financing Deals

Year	Company	Partner/Startup	Deal Structure	Strategic Purpose
2025 (Oct)	Nvidia	OpenAI	Considered guaranteeing part of OpenAI’s loans for data center construction; structured as lease of up to 5M Nvidia chips valued at ~$350B, with Nvidia potentially backstopping debt obligations.	Accelerate OpenAI’s AI infrastructure buildout while securing massive GPU deployment commitments.
2026 (Feb)	Nvidia	Indian VC firms & startups	Partnered with Peak XV, Elevation Capital, Nexus, Accel India, etc., to co-fund AI startups and data centers using Nvidia Blackwell Ultra chips.	Expand Nvidia’s footprint in India’s sovereign AI push and $200B data center investment wave.
2026 (Feb)	AMD	Crusoe	Guaranteed $300M loan arranged by Goldman Sachs, collateralized by AMD AI chips; interest ~6%; leaseback clause where AMD rents chips if Crusoe fails to attract customers.	Push AMD accelerators into data centers, directly competing with Nvidia’s financing tactics.

Key Takeaways

Nvidia pioneered this model: It began offering guarantees and leasebacks to reduce risk for partners like OpenAI, ensuring GPU adoption even when startups lacked upfront capital.

AMD followed suit: Its Crusoe deal is a direct competitive response, showing this is now a trend across chipmakers.

Global expansion: Nvidia is extending the model to India, combining financing with venture capital partnerships to scale AI infrastructure.

Strategic shift: Chipmakers are no longer just hardware suppliers—they’re acting as financial enablers, underwriting risk to accelerate AI ecosystem growth.

TryfactaConnex Signs $7.7B MoU with Uttar Pradesh to Build India’s First Gigawatt-Scale AI Data Center Campus

Representative Image

TryfactaConnex, an affiliate of U.S.-based Tryfacta, Inc., today announced the signing of a Memorandum of Understanding (MoU) with the Government of Uttar Pradesh to launch its India AI infrastructure platform, including an initial investment of approximately $7.7 billion to develop a 1-gigawatt hyperscale AI data center campus. The announcement was made at the AI Impact Summit 2026 in New Delhi.

The project establishes the foundation for a vertically integrated AI infrastructure platform that combines compute capacity and dedicated energy generation, designed for large-scale artificial intelligence workloads. The campus is structured to support hyperscalers, sovereign AI initiatives, enterprise cloud operators, and advanced research institutions requiring high-density compute and long-term energy reliability.

The site benefits from access to grid connectivity, water, fiber networks, and natural gas infrastructure and is planned to incorporate a diversified energy mix including grid power, natural gas generation, solar energy, battery storage, and future nuclear integration. The platform is designed to scale beyond the initial phase toward multi-gigawatt capacity over the coming decade.

“AI infrastructure is rapidly becoming a core national economic asset,” said Adesh Tyagi, Founder and CEO of TryfactaConnex. “Our model integrates power generation and compute capacity into a single platform capable of delivering reliable, baseload energy at scale. India represents one of the most strategic global markets for long-term AI capacity deployment.”

“I would like to thank Prime Minister Narendra Modi and Chief Minister Yogi Adityanath for their leadership in enabling companies like ours to contribute to India’s leadership in both AI and energy,” said Adesh Tyagi, Founder and CEO of TryfactaConnex. “TryfactaConnex is committed to building highly reliable, resilient baseload energy infrastructure through our planned 3-gigawatt grid-integrated gas and nuclear platform. We recognize the strategic importance of this moment and are focused on delivering the power foundation necessary for India to maintain its global AI advantage.”

“What makes our Uttar Pradesh campus one of the premier energy sites in the country is that it has been designed from the outset as a green energy-led platform, enabling the integration of multiple clean power sources at scale,” said Sanjeev Rajoura, Executive Vice President, TryfactaConnex.

TryfactaConnex expects the development to support domestic cloud infrastructure, AI model training, enterprise computing, and public-sector digital platforms while positioning India as a competitive global AI compute hub. The India platform forms part of TryfactaConnex’s broader international roadmap to deploy gigawatt-scale AI infrastructure across multiple global markets.

The company is actively engaging institutional investors, infrastructure funds, strategic technology partners, and energy developers as part of the platform’s phased financing strategy.

About TryfactaConnex

TryfactaConnex is a next-generation AI infrastructure company developing hyperscale data center campuses powered by resilient, gigawatt-scale energy systems designed for advanced artificial intelligence workloads. Its vertically integrated energy architecture combines grid interconnections, natural gas, nuclear, solar generation, and battery storage to deliver highly redundant, always-on power platforms purpose-built for AI computing.

Adani Commits $100 Bn to Sovereign AI Infrastructure

The Adani Group today announced one of the world’s largest integrated energy-compute commitments, a direct investment of USD 100 billion to develop renewable-energy-powered, hyperscale AI-ready data centres by 2035. The initiative will establish a long-term sovereign energy and compute platform designed to position India as a global leader in the emerging Intelligence Revolution.

The investment is expected to catalyse by 2035 an additional USD 150 billion across server manufacturing, advanced electrical infrastructure, sovereign cloud platforms and supporting industries. Together, this is projected to create a USD 250 billion AI infrastructure ecosystem in India over the decade.

"The world is entering an Intelligence Revolution more profound than any previous Industrial Revolution," said Mr Gautam Adani, Chairman of the Adani Group. "Nations that master the symmetry between energy and compute will shape the next decade. India is uniquely positioned to lead. At Adani, we are building on our foundation in data centres and green energy to expand into the complete five-layer AI stack focused on India's technological sovereignty. India will not be a mere consumer in the AI age. We will be the creators, the builders and the exporters of intelligence and we are proud to be able to participate in that future."

This roadmap builds on AdaniConnex's existing 2 GW national data centre, expanding toward a 5 GW target that positions India at the epicentre of the global AI economy. This vision is anchored by landmark partnerships with Google to establish the nation's largest gigawatt-scale AI data centre campus in Visakhapatnam, alongside additional campuses in Noida, and with Microsoft spanning Hyderabad and Pune. The Adani Group is also in discussion with other major players seeking to establish large scale campuses across India thereby further cementing its position as India's premier AI infrastructure partner.

In line with this vision, the Group will also deepen its data centre partnership with Flipkart, advancing the collaboration toward the development of a second AI data centre purpose-built to support Flipkart's next-generation digital commerce, high-performance computing and large-scale AI workloads.

The World’s Largest Integrated Data Centre Platform

The 5 GW deployment will create the world’s largest integrated data centre platform, combining renewable power generation, transmission infrastructure and hyperscale AI compute within a single coordinated architecture. Unlike conventional data centre expansions, the program is designed as a unified energy-and-compute ecosystem, where generation, grid resilience and high-density processing capacity are developed in parallel.

Facilities will be optimised for large high-density compute clusters and next-generation AI workloads, supported by advanced liquid cooling systems and high-efficiency power architecture. Dedicated compute capacity will support Indian Large Language Models (LLMs) and national data initiatives, ensuring long-term data sovereignty. Reliable transmission networks and advanced grid systems will underpin the platform, ensuring stability, scalability and uptime at hyperscale.

Leveraging India’s Renewable Advantage

As global AI workloads become increasingly energy-intensive, the Adani Group is uniquely positioned to provide the competitively priced, carbon-neutral power essential for this transition. Central to this strategy is Adani Green Energy’s 30 GW Khavda project, of which over 10 GW is already operational. In addition, the Group is committed to investing another USD 55 billion to expand its renewable energy portfolio, which will include one of the world's largest battery energy storage systems (BESS).

Strategic connectivity through cable landing stations, including at Adani’s network of ports, will ensure low-latency global integration with the Americas, Europe, Africa and Asia.

Derisking and Building Aatmanirbhar Supply Chains

To reduce exposure to global supply-chain volatility, the Adani Group will also co-invest in domestic manufacturing partnerships of critical infrastructure components, including high-capacity transformers, advanced power electronics, grid systems, inverters and industrial thermal management solutions.

This approach positions India not only as a data hub but as a producer and exporter of next-generation intelligence and compute infrastructure.

Integrating with National Priorities
By leveraging its existing AI-based industry cloud which currently manages millions of renewable assets in real-time, the Adani Group is establishing a digital blueprint for significant internal compute expansion. Aligned with the PM Gati Shakti program, the Group is embedding agentic AI across its logistics, ports and industrial corridors to create hyper-efficient, smart operations. This strategic integration not only modernises national infrastructure but also ensures data sovereignty, bridging the gap between heavy industry and intelligent, secure automation.

Democratising High-Performance Compute
In line with India's five-layer AI architecture (Applications, Models, Chips, Energy and Data Centres), the Group will actively participate in partnerships across the full stack. A significant portion of GPU capacity will be reserved for Indian AI startups, research institutions and deep-tech entrepreneurs, alleviating compute scarcity and fostering a domestic innovation ecosystem.

Capitalising on India’s Talent

Working with leading academic institutions, the Adani Group will establish specialised AI Infrastructure Engineering curricula, applied AI research labs focused on energy and logistics and a national fellowship program to address the growing skills gap.

This long-term commitment by the Adani Group establishes one of the world’s most ambitious integrated energy and AI infrastructure platforms ever undertaken at national scale. The Adani Group invites global technology companies, sovereign institutions and innovation partners to participate and collaborate in building India’s next-generation AI infrastructure platform.

About Adani Enterprises Ltd (AEL)

Adani Enterprises Limited (AEL) is the flagship company of Adani Group, one of India’s largest business organisations. Over the years, Adani Enterprises has focused on building emerging infrastructure businesses, contributing to nation-building and divesting them into separate listed entities. Having successfully built sizeable and scalable businesses like Adani Ports & SEZ, Adani Energy Solutions, Adani Power, Adani Green Energy, Adani Total Gas and Adani Wilmar, the company has contributed to make India self-reliant with our robust businesses. This has also led to significant returns to our shareholders for three decades.

The next generation of its strategic business investments are centered around green hydrogen ecosystem, airport management, data center, roads and primary industries like copper and petrochem - all of which have significant scope for value unlocking.

Vertiv Announces New AI-Powered Predictive Maintenance Service for Modern Data Centers and AI Factories

Vertiv (NYSE: VRT), a global leader in critical digital infrastructure, announced the launch of Vertiv™ Next Predict, an AI-powered managed service that fundamentally transforms data center maintenance. Moving beyond traditional time-based and reactive models, the service industrializes operations by analyzing asset behavior before risks materialize. Vertiv Next Predict is the latest advancement in Vertiv’s integrated AI infrastructure portfolio, designed to deliver predictive intelligence across power, cooling, and IT systems—creating a unified, resilient foundation for AI-driven data centers.

As AI workloads reshape the data center landscape, facilities require improved visibility and control across critical infrastructure to maintain operational continuity and performance at scale. Implementing advanced analytics and predictive maintenance strategies helps organizations address these challenges and maintain consistent performance across distributed environments.

“Data center operators need innovative technologies to stay ahead of potential risks, as compute intensity rises and infrastructures evolve,” said Ryan Jarvis, vice president of the global services business unit at Vertiv. “Vertiv Next Predict helps data centers unlock uptime, shifting maintenance from traditional calendar-based routines to a proactive, data-driven strategy. We move from assumptions to informed decisions, by continuously monitoring equipment condition and enabling risk mitigation before potential impacts to operations.”

Vertiv Next Predict leverages AI-based anomaly detection to continuously analyze operating conditions and identify deviations from expected behaviors at an early stage, and a predictive algorithm that assesses potential operational impact to determine risk and prioritize response. Root cause analysis then isolates the contributing factors to support efficient and targeted resolution. Based on system data and the specific operational context, prescriptive actions are defined and carried through to execution, with corrective measures performed by qualified Vertiv™ Services personnel.

Engineered for versatility and future growth, Vertiv™ Next Predict currently supports a broad and expanding range of Vertiv™ power and cooling platforms—including battery energy storage solutions (BESS) and liquid cooling components. More importantly, the service is designed with scalability in mind, to enable seamless integration with future data center technologies as part of a unified, grid-to-chip service architecture. This forward-looking approach means customers can adopt Vertiv Next Predict today, with the knowledge that it can evolve alongside their infrastructure needs.

The Vertiv Services organization has decades of service experience in critical digital infrastructure, a global network of Vertiv-trained technicians, and AI-powered analytics.

For more information about Vertiv Next Predict or Vertiv’s end-to-end power and thermal management solutions—including Vertiv™ OneCore scalable prefabricated data center infrastructure solution, Vertiv™ SmartRun modular overhead IT infrastructure system and Vertiv’s expanding portfolio for AI and high-density workloads—visit Vertiv.com.

L&T Vyoma Launches 40 MW AI‑Ready Green Data Centre in Navi Mumbai

Larsen & Toubro’s digital infrastructure arm, L&T Vyoma, has broken ground on a 40 MW AI‑ready green data centre in Mahape, Navi Mumbai (January 21, 2026). This marks the first phase of a planned 100 MW campus, part of a broader roadmap to scale over 200 MW of data centre capacity across India.

Key Highlights of the Launch

• Location: Mahape, Navi Mumbai
• Capacity: 40 MW (Phase 1 of a 100 MW campus)
• Technology: Direct-to-chip liquid cooling for high-density AI workloads
• Sustainability: Designed as a green facility with renewable energy integration
• Strategic Role: Supports hyperscale cloud providers, sovereign cloud requirements, and enterprise workloads

National Expansion Roadmap

• Target: Over 200 MW of data centre capacity across India
• Cities in focus: Mumbai, Chennai, Bengaluru, Hyderabad
• Investment: Around ₹10,000 crore earmarked for Vyoma’s data centre business

Strategic Importance

• AI-Ready Infrastructure: Built to handle AI-centric computing, including large-scale training and inference workloads
• Hyperscale-Ready: Tailored for global cloud providers requiring massive scalability
• Colocation & BTS (Build-to-Suit): Offers flexibility for enterprises needing custom infrastructure
• Edge & Disaster Recovery: Complements India’s growing need for resilient digital infrastructure

Comparison Table: L&T Vyoma’s Data Centre Strategy

Feature	Navi Mumbai (Mahape)	National Roadmap
Capacity	40 MW (Phase 1)	200+ MW planned
Campus Size	100 MW	Multi-city rollout
Cooling Technology	Direct-to-chip liquid cooling	Advanced cooling & energy-efficient systems
Sustainability	Green, renewable energy	Green campuses nationwide
Target Clients	AI workloads, hyperscale cloud, enterprises	Cloud providers, enterprises, sovereign cloud
Investment	Part of ₹10,000 crore	Total ₹10,000 crore+

Risks & Challenges

• Energy Demand: AI workloads require massive power consumption; renewable integration is critical
• Regulatory Approvals: Expansion depends on clearances from the Ministry of Environment, Forest and Climate Change
• Competition: Reliance, Adani, and global players are also scaling data centres in India
• Execution Timeline: No official completion date announced yet, which may affect rollout speed

Bottom Line: L&T Vyoma’s Navi Mumbai launch signals India’s push toward AI‑centric, sustainable digital infrastructure, positioning the country as a major hub for hyperscale and sovereign cloud ecosystems.

L&T Vyoma and SRIT India Partner to Launch Sovereign Cloud for GovTech, Healthcare & Telecom

Larsen & Toubro-Vyoma, the AI-ready cloud and hyperscale data centre business vertical of L&T, has entered a strategic partnership with SRIT India Ltd, a Bengaluru-based IT solutions provider with expertise in large-scale e-health, e- governance, telecom and mission-critical systems.

With this collaboration, SRIT will introduce SRIT Cloud, a sovereign, India-localised cloud platform powered by Ministry of Electronics and Information Technology-compliant infrastructure from Vyoma. The solution is designed to meet the stringent requirements of public, joint and private sector entities in areas such as national security, governance, healthcare and telecom — ensuring data sovereignty, high availability and operational trust.

The partnership enables SRIT to offer a fully integrated application-to-infrastructure stack, powered by Vyoma’s sovereign cloud and hyperscale capabilities. They will deliver responsive scalability for high-growth digital public services, integrated support across applications and infrastructure, reduced downtime, improved performance for mission- critical systems and faster deployment of SRIT’s proven platforms in e-health, urban governance, intelligent transport management system and telecom.

SRIT will make its entire suite of platforms — including its Ayushman Bharat Digital Mission and National Accreditation Board for Hospitals-certified E-Health System — available on a SaaS model, enabling hospitals, clinics, laboratories and government institutions to adopt these solutions at lower cost and complexity.

Similarly, SRIT’s flagship GovTech applications — such as automated building plan approvals, municipal governance, fire permit systems and smart transport platforms — will now be offered on SaaS, PaaS and IaaS through SRIT Cloud powered by Vyoma.

Commenting on the collaboration, Seema Ambastha, Chief Executive – Larsen & Toubro- Vyoma, said: “This partnership combines our sovereign cloud infrastructure with SRIT’s proven expertise in GovTech and HealthTech. Together, we are enabling secure, high- performance cloud services built in India, for India, thus advancing the nation’s most critical digital missions”.

Dr Madhu Nambiar, Founder & MD – SRIT India Ltd, added: “Partnering with Vyoma gives us a sovereign, high-reliability cloud foundation to deliver integrated solutions with assured performance, faster rollouts and proactive risk mitigation — strengthening our ability to serve millions of citizens and thousands of institutions securely and efficiently”.

As India accelerates adoption of cloud-based governance, digital health ecosystems and citizen platforms, the Vyoma-SRIT collaboration directly supports three national priorities: data sovereignty, high availability and affordable digital transformation. It establishes one of the most comprehensive application + Infrastructure service models for GovTech and HealthTech in the country.

About Larsen & Toubro - Vyoma

Larsen & Toubro-Vyoma is L&T’s sovereign, secure, and integrated AI cloud and hyperscale data centre business, engineered to deliver AI-ready, high-density compute for India and global enterprises. Built on L&T’s legacy of trust, precision and engineering excellence, Vyoma offers sovereign cloud platforms, GPU-as-a-Service, hyperscale colocation and mission-critical digital infrastructure that powers government, BFSI, healthcare, manufacturing and high-compute industries worldwide. Website: https://larsentoubrovyoma.com

About SRIT India Limited

Founded in 1999 and headquartered in Bengaluru, SRIT India Limited is a leading IT solutions provider and systems integrator with deep expertise in E-Health, E-Governance, Intelligent Transport Management Systems, Telecom/MSP and enterprise-grade digital platforms. SRIT’s applications serve governments, state agencies, hospitals, telecom operators and private enterprises across India and international markets. Website: https://www.sritindia.com

L&T Rebrands Data Centre Business as Larsen & Toubro-Vyoma

Larsen & Toubro (L&T) today announced the rebranding of its data centre business as Larsen & Toubro-Vyoma – a name inspired by the Sanskrit word for ‘sky’. The business, launched in 2024, was earlier known as L&T-Cloudfiniti.

Larsen & Toubro-Vyoma extends L&T’s core engineering and manufacturing expertise into the digital economy, with a forward-looking approach to data infrastructure that emphasises scalability, security, sustainability and Responsible AI.

By integrating advanced AI capabilities, cloud-native architectures and low-carbon operations, Larsen & Toubro-Vyoma offers a trusted platform for resilient digital foundations — enabling businesses and communities to thrive in an increasingly connected world.

Commenting on the rebranding, Mr S N Subrahmanyan, Chairman & Managing Director, L&T, said: “As India’s data centre market is projected to grow exponentially over the next few years, Larsen & Toubro-Vyoma embodies our vision to build a trusted ecosystem that supports the nation’s digital ambition. By integrating sovereign capabilities, AI-readiness and sustainable operations, we aim to enable bold innovation and secure growth”.

Ms Seema Ambastha, Chief Executive – Larsen & Toubro-Vyoma, added: “As L&T- Cloudfiniti transitions into its new avatar Larsen & Toubro-Vyoma, we embrace a name that mirrors our limitless vision — from the infinite power of cloud to the cosmic intelligence of vyoma. This rebranding represents our journey towards a more connected, intelligent and sovereign digital future”.

India’s digital economy is witnessing rapid expansion driven by cloud adoption, AI-led workloads and data localisation. Policy initiatives such as Digital India and Atmanirbhar Bharat are further reinforcing the need for sovereign, compliant infrastructure.

Larsen & Toubro-Vyoma is strategically positioned at the intersection of these growth drivers — combining scale, sovereignty, AI-readiness and sustainability. The brand will spearhead L&T’s expansion into hyperscale data centres across key Indian metros including Mumbai, Chennai and Bengaluru, with facilities designed to support high-performance computing and advanced data storage requirements.

Larsen & Toubro-Vyoma reflects L&T’s commitment to building future-ready platforms that empower enterprises and communities to innovate, collaborate and grow with confidence.

Underwater Data Centers: Submerged Server Farms for Enhanced Cooling Efficiency

Here's something I find fascinating about modern computing: the tech industry's most innovative cooling solution sits at the bottom of the ocean. Underwater data centers aren't just a quirky experiment — they're reshaping how we think about server infrastructure. And the ripple effects? They're reaching everything from cloud storage to real-time platforms like 1xbet online, where split-second processing can make or break user experience.

The Science Behind Submerged Computing Infrastructure

Microsoft's Project Natick proved what many engineers suspected: the ocean makes an excellent air conditioning system. Underwater data center cooling systems revealed that submerged servers failed eight times less frequently than their land-based cousins. That's not just impressive — it's economically transformative.

But here's what really caught my attention about underwater deployment:

• Ocean temperatures stay remarkably stable at 35-40 meter depths
• Maintenance becomes predictable rather than reactive
• Energy bills drop dramatically without traditional cooling systems
• Natural disasters? They're surface problems now
• Electromagnetic interference virtually disappears underwater

Water conducts heat 25 times more efficiently than air. At moderate depths, you're looking at consistent 2-8°C temperatures year-round. I've worked with facilities managers who'd kill for that kind of thermal stability. No more server rooms that feel like saunas, no more emergency cooling repairs during heat waves.

Real-Time Processing and Low-Latency Applications

Now, let's talk about speed — and I mean real speed. Low latency data processing underwater demonstrates measurable improvements in response times across financial trading, gaming, and streaming applications. The stable environment means processors can run at peak performance without thermal throttling.

Sports betting platforms particularly benefit from this consistency. Think about it: during a live football match, odds calculations happen thousands of times per second. Each goal, each penalty, each substitution triggers instant recalculations across multiple markets. Underwater servers handle these computations without the temperature spikes that plague traditional facilities.

I've seen betting systems crash during major events simply because server cooling couldn't keep up with demand. Underwater data centers eliminate this bottleneck entirely. The ocean doesn't care if it's the World Cup final — it maintains the same cooling capacity regardless.

Environmental Impact and Energy Efficiency

The environmental angle is where underwater data centers really shine. These facilities consume roughly 40% less energy than traditional counterparts, primarily by eliminating air conditioning costs. That's significant when you consider data centers currently account for about 1% of global electricity consumption.

Current projections suggest widespread adoption could reduce global data center energy usage by 15-20%. As someone who's watched the industry's carbon footprint grow exponentially, this reduction represents a meaningful step toward sustainable computing.

The ocean environment provides natural filtration and temperature regulation — services that cost millions annually in traditional facilities. Yes, saltwater corrosion was initially a concern, but specialized coatings and sealed environments have largely resolved these issues. Marine ecosystem studies show minimal environmental impact when facilities are properly designed.

Deployment presents unique challenges, though. Accessing underwater equipment for maintenance requires specialized vessels and trained technicians. Cable management becomes exponentially more complex when you're dealing with subsea installations. Remote monitoring systems and predictive maintenance algorithms help, but they can't replace human expertise entirely.

Installation costs currently exceed traditional facilities by 20-30%. But here's the interesting part: operational savings through reduced energy consumption and improved reliability often recover these investments within 3-5 years. That's a compelling business case for companies planning long-term infrastructure investments.

Scalability depends heavily on geography. You need stable underwater terrain, moderate currents, and reasonable coastal access. Not every region offers these conditions, which limits deployment options. Current research focuses on expanding viable zones and improving underwater construction techniques.

Future developments look promising. Larger underwater facilities are in development, and deployment methods continue improving. As the technology matures, costs should decrease while performance benefits increase. The combination of environmental advantages and operational efficiency makes underwater data centers increasingly attractive.

The integration with existing global networks continues evolving. Submarine cables already connect continents, and underwater data centers can leverage these connections effectively. This infrastructure supports growing demand for distributed computing power and edge processing capabilities — exactly what modern digital services require.

Nvidia Commits $100 Billion to OpenAI in Historic AI Infrastructure Partnership

In a move set to redefine the global artificial intelligence landscape, Nvidia has announced a strategic partnership with OpenAI that includes a staggering investment of up to $100 billion. The deal aims to deploy 10 gigawatts of Nvidia-powered AI data centers, marking one of the largest infrastructure commitments in tech history.

The partnership was formalized through a letter of intent signed by both companies, with the first gigawatt of computing power scheduled to go live in the second half of 2026 on Nvidia’s upcoming Vera Rubin platform. This deployment will involve millions of GPUs and is expected to support OpenAI’s next-generation models, including its push toward artificial general intelligence (AGI).

Everything starts with compute, said OpenAI CEO Sam Altman. Compute infrastructure will be the basis for the economy of the future, and we will utilize what we’re building with Nvidia to both create new AI breakthroughs and empower people and businesses with them at scale.

The deal is structured as two intertwined transactions: Nvidia will invest in OpenAI for non-voting shares, while OpenAI will use the capital to purchase Nvidia’s chips. The first tranche of $10 billion will be deployed once OpenAI finalizes its purchase agreement for Nvidia systems.

Nvidia CEO Jensen Huang described the partnership as “monumental in size,” noting that the 10 GW deployment is equivalent to 4–5 million GPUs—roughly double the company’s annual output. “This investment and infrastructure partnership mark the next leap forward—deploying 10 gigawatts to power the next era of intelligence,” Huang said.

The announcement sent Nvidia’s stock soaring by 4.4%, adding nearly $170 billion to its market cap. Oracle, which is collaborating with OpenAI, Microsoft, and SoftBank on the $500 billion Stargate AI data center initiative, also saw a 6% bump.

Despite the excitement, analysts have raised concerns about the circular nature of the deal, with Nvidia’s investment potentially returning to the company via chip purchases. However, both firms emphasized the strategic value of co-optimizing hardware and software roadmaps to accelerate AI development.

OpenAI, which now boasts over 700 million weekly active users, will treat Nvidia as its preferred compute and networking partner. The collaboration complements existing alliances with Microsoft, Oracle, and SoftBank, and does not alter OpenAI’s ongoing efforts to develop its own custom AI chips.

As competition intensifies among tech giants like Google, Amazon, Meta, and xAI, this Nvidia–OpenAI alliance signals a new phase in the race to build scalable, high-performance AI infrastructure.

Google and Reliance Unveil Dedicated Cloud Region in Jamnagar to Power India’s AI Future

In a landmark announcement at Reliance Industries’ 48th Annual General Meeting, Google CEO Sundar Pichai revealed the launch of a dedicated Google Cloud region in Jamnagar, built exclusively for Reliance. The move marks a pivotal step in India’s digital transformation, aimed at accelerating AI adoption across industries and democratizing access to advanced computing infrastructure.

Purpose-Built for AI Innovation

The Jamnagar region will host Google Cloud’s latest-generation AI hypercomputer, offering full-stack environments for generative AI development, model training, and enterprise deployment. Designed and powered by Reliance, the facility will run entirely on green energy, aligning with the company’s sustainability goals.

This region is purpose-built to support India’s AI ambitions — from large enterprises to kirana stores, said Sundar Pichai.

“It’s a new chapter in India’s technology journey,” added Mukesh Ambani.

Infrastructure Highlights

• Hypercomputer Deployment: Optimized for large-scale generative models and AI-powered applications
• Green Energy Backbone: Powered by Reliance’s renewable energy assets
• Jio Fiber Integration: High-capacity connectivity linking Jamnagar to metros like Mumbai and Delhi
• Secure Data Environments: Designed for enterprise-grade governance and compliance

Strategic Impact

The Jamnagar region will serve as a launchpad for AI-first services across sectors including:

• Retail, telecom, energy, and financial services
• Startups, SMBs, and public sector organizations
• Developers and researchers building India-centric AI solutions

This initiative complements Reliance’s newly launched Reliance Intelligence, a wholly owned subsidiary focused on building consumer and enterprise-grade AI products.

National Significance

The announcement aligns with India’s broader push for sovereign AI infrastructure under the ₹10,370 crore IndiaAI Mission. By localizing compute power and enabling scalable AI deployment, the Jamnagar region positions India as a serious contender in the global AI race.

What’s Next

The cloud region is expected to go live in early 2026, with pilot deployments already underway in Reliance’s retail and telecom verticals. Analysts view this as a strategic convergence of infrastructure, innovation, and national ambition — one that could redefine India’s digital economy.

Can India’s Power Infrastructure Keep Up with Its Digital Ambitions?

India’s data center industry is experiencing an unprecedented growth trajectory, driven by rapid digitalization, the rollout of 5G networks, AI adoption, and increasing cloud demand. Industry forecasts estimate that the country’s data center capacity will rise from around 1.4 gigawatts today to over 9 gigawatts by 2030. This surge translates into data centers potentially consuming roughly 3% of India’s total electricity by that year, up from less than 1% currently. Expanding hyperscale and colocation facilities in metros like Mumbai, Bengaluru, Chennai, and Delhi, alongside rising secondary hubs in tier 2 and 3 cities, underline the vast scale and geographic diversification of this growth.

Power Infrastructure Challenges Unique to the Digital Era

Vikas Srivastava, Director-Product Management, Product Development/Engineering, Vertiv

Data centers require uninterrupted, high-quality power that traditional grids, especially beyond metropolitan areas, often struggle to provide. Frequent outages, voltage instability, and limited grid capacity plague many emerging digital hubs in smaller cities and rural areas. Moreover, the scale of power demand from mega data centers rivals that of large industrial operations, placing additional strain on local utilities and transmission infrastructures. Maintaining uptime for critical digital services requires a fundamental rethink of power supply, distribution, and resilience strategies tailored to these demanding environments.

Decentralized, Intelligent Power Ecosystems as the Future

To address these challenges, the industry should pivot toward self-sustained power ecosystems. This entails integrating microgrids, hybrid energy sources including renewables augmented by battery energy storage systems, and real-time power optimization technologies. Decentralized power distribution architectures reduce dependency on unstable grids, enabling edge locations such as rural data nodes, telecom towers, and smart factories to operate autonomously with high reliability. Intelligent infrastructure monitoring and AI-driven energy management can further optimize load distribution, predictive maintenance, and increase energy efficiency across interconnected digital sites.

Sustainability and Policy Enablement

India’s ambitious renewable energy targets aim for 500 gigawatts of renewable capacity by 2030, and government incentives such as data center policies and production-linked incentives are catalyzing the integration of green power into digital infrastructure. Operators are increasingly leveraging rooftop solar, wind power, and advanced cooling technologies to reduce carbon footprints. Notably, energy storage initiatives backed by viability gap funding have accelerated battery storage adoption, crucial for bridging supply-demand gaps and mitigating renewables’ intermittency.

Strategic Enterprise Investment and Advanced Solutions

While policy frameworks set the stage, private sector leadership is paramount. Investors and operators are scaling infrastructure with modular, scalable power units capable of operating in extreme ambient conditions prevalent across India. Technologies such as high-efficiency uninterruptible power supplies, AI-based monitoring platforms, and hybrid grid-storage combinations ensure consistent power quality and resilience. These advancements also embrace operational flexibility, allowing data centers to dynamically adjust to fluctuations in demand and supply, reducing total cost of ownership and sustainability risk.

The symbiotic growth of India’s digital economy and power infrastructure faces complex challenges requiring innovative, integrated approaches. Developing decentralized, intelligent, and green power systems tailored to the evolving needs of data centers, supported by proactive investment and enabling policies, will be critical. Successfully navigating these challenges will ensure India’s digital ecosystems remain robust and adaptive, securing its place as a global technology powerhouse in the decade ahead.

Reference Links:

• https://www.jll.com/en-in/insights/market-dynamics/india-data-centers
• https://ieefa.org/resources/indias-power-hungry-data-centre-sector-crossroads
• https://www.jll.com/en-in/newsroom/indias-data-centre-capacity-to-reach-18-gw-by-2027

Top Contenders for India’s Largest Data Centre

India is rapidly emerging as a global hub for hyperscale data centres, driven by surging demand for cloud services, AI workloads, and digital infrastructure. With tech giants like Google, Reliance, and AdaniConneX announcing multi-billion-dollar investments, the country is witnessing an unprecedented expansion in data centre capacity. Strategic locations such as Visakhapatnam, Jamnagar, and Navi Mumbai are attracting large-scale projects, while Tier-II cities like Pune and GIFT City are gaining traction for edge computing.

This evolving landscape reflects India’s ambition to become a digital powerhouse, backed by renewable energy integration, submarine cable upgrades, and state-level incentives. 

List of Major Data Centre Projects in India

Company	Location	Capacity (MW/GW)	Investment	Status	Highlights
Google	Visakhapatnam, AP	1 GW	₹51,000 crore	Confirmed	Asia’s largest by investment; $2B for renewables
Reliance Industries	Jamnagar, Gujarat	3 GW (planned)	₹1.6–2.4 lakh crore	Announced	Aims to be world’s largest; AI-focused with Nvidia
Sify Technologies	Andhra Pradesh	550 MW	Not disclosed	Publicly announced	Part of AP’s 6 GW roadmap
CtrlS	Mumbai, Hyderabad, Noida	~200 MW+	Ongoing	Operational	Largest Tier-4 certified DC in Asia
NTT Global Data Centers	Navi Mumbai, Chennai	~100 MW+	$2B+ (India-wide)	Operational & expanding	Multiple hyperscale facilities
STT GDC India	Pune, Bengaluru, Noida	~200 MW+	$500M+	Operational & expanding	Backed by Singapore’s ST Telemedia
AdaniConneX	Chennai, Noida, Hyderabad	1 GW (target)	$1B+	Under development	JV with EdgeConneX; hyperscale + edge DCs
Yotta Infrastructure	Navi Mumbai, GIFT City	~100 MW+	₹7,000 crore+	Operational & expanding	India’s largest Tier-IV DC at NM1
Web Werks – Iron Mountain	Pune, Mumbai, Bengaluru	~50 MW+	$150M+	Operational & expanding	Colocation and enterprise clients

India’s Data Centre Landscape: Key Trends

• Andhra Pradesh is emerging as a strategic hub, with 6 GW planned capacity and new cable landing stations in Visakhapatnam.
• Mumbai remains the largest operational hub, with 289 MW capacity and 44% market share.
• Green energy integration is a major theme, especially for hyperscale projects like Google’s and AdaniConneX’s.
• Tier-II cities like Pune, GIFT City, and Noida are seeing rapid growth due to edge computing and 5G rollout.

Google Commits $6 Bn to Build Asia’s Largest Data Centre in India

Google is making a landmark investment of $6 billion to build a 1-gigawatt hyperscale data centre in Visakhapatnam, Andhra Pradesh, marking its largest such project in Asia and its first of this scale in India.

Key Highlights

• Location: Port city of Visakhapatnam, Andhra Pradesh
• Capacity: 1 GW (gigawatt) data centre — largest in Asia by size and investment
• Renewable Energy: $2 billion earmarked for green energy infrastructure to power the facility
• Strategic Goal: Supports Andhra Pradesh’s ambition to build 6 GW of data centre capacity over five years, up from nearly zero today
• Cable Infrastructure: Plans for three new cable landing stations in Visakhapatnam to double Mumbai’s current network capacity
• Global Context: Part of Alphabet’s broader $75 billion global data centre expansion, including projects in Singapore, Malaysia, and Thailand

Sustainability Meets Scale

While the facility will be primarily powered by renewable energy, some coal-based capacity may be included to ensure 24/7 reliability. Andhra Pradesh anticipates 10 GW of additional power demand from the data centre industry in the next five years.

Strategic Implications

This move positions India — and Andhra Pradesh specifically — as a rising hub in the global digital infrastructure race. It also reflects Google’s confidence in India’s long-term tech ecosystem, despite global economic uncertainties.

Tata Communications, AWS Unveil One of India’s Largest AI-Optimized Network Deployments

Tata Communications, a leading global communications technology player, in collaboration with Amazon Web Services (AWS), an Amazon.com, Inc. company, announced that the companies will enable an advanced AI-ready network in India. The strategic collaboration will establish a high-capacity, resilient long-distance network connecting three major AWS infrastructure locations to bolster generative AI adoption and cloud innovation in India.

The collaboration marks one of the India’s largest ever network deployments by Tata Communications in terms of size, scale and bandwidth. AWS has two data centre Regions in India located in Mumbai and Hyderabad, and AWS Direct Connect and AWS Edge Network infrastructure in Chennai. The network will connect AWS infrastructure in Mumbai, Hyderabad, and Chennai through a comprehensive, national long-haul network, creating a powerful infrastructure backbone for AI and machine learning (ML) workloads across India.

Key highlights of the partnership:

• Next-Generation Network Connectivity: Leverage Tata Communications’ state-of-the-art network to provide high-bandwidth, low-latency connections essential for AI workloads.​ AWS will continue to deploy its custom network technologies on this network, enabling industry-leading security, availability, and performance between AWS locations
• Enablement of AI-Powered Applications: Further enable businesses across India to build, train, and deploy scalable AI applications, fostering innovation in sectors like healthcare, finance, and education​
• Commitment to Security and Compliance: Ensure robust security measures and adhere to regulatory standards to protect data integrity and privacy

The new network will help provide leading network performance and scalability that are critical for next-generation AI applications. By leveraging Tata Communications state-of-the-art network, AWS will further empower Indian businesses to develop Gen AI applications and train AI models, with unprecedented speed and efficiency. The network will feature express routes with ultra-low latency, helping ensure seamless data transfer and processing capabilities essential for compute-intensive AI and ML workloads.

“This association marks our largest ever National Long-Distance program and showcases Tata Communications’ unparalleled capability to support large-capacity, complex projects requiring scaled network solutions,” said Genius Wong, Executive Vice President, Core and Next-Gen Connectivity Services and Chief Technology Officer, Tata Communications. “AI is transforming industries globally, and our collaboration with AWS positions us at the forefront of this revolution in India. Together, we’re enabling a network that not only meets the current demands but anticipates the needs of tomorrow. By building a tailored network solution we’re ushering in an AI era in India, reinforcing our position as the long-term partner of choice for global technology leaders.”

“We are excited to work with Tata Communications to establish an advanced in-country network in India,” said Jesse Dougherty, Vice President for Network Edge Services at Amazon Web Services. ” The infrastructure is designed to support the most data intensive workloads, like 5G, generative AI, and high-performance computing. This collaboration with Tata Communications will further enable our customers in India to innovate at scale with cloud and generative AI, and drive growth in India’s rapidly expanding digital economy.”

Madhya Pradesh Powers Up: 1GW AI-Ready Data Centre Ecosystem in the Works

Madhya Pradesh is making a bold move to become a major player in global digital infrastructure by developing a 1 gigawatt AI-ready data centre ecosystem, reported Times of India. Here's a breakdown of the initiative:

Strategic Partnership

MoU Signed: Between Madhya Pradesh State Electronics Development Corporation (MPSEDC) and Spain-based Submer Technologies, a leader in immersion cooling and AI infrastructure.

Location: Agreement signed during the Invest in Madhya Pradesh Business Forum in Barcelona, Spain.

During the visit to Spain today, the headquarters of Submer, located in Barcelona, was visited.

This company, which specializes in data center cooling technology, held positive discussions regarding potential investment and strategic partnership in Madhya Pradesh.

Such… pic.twitter.com/FuSlY02wm7

— Dr Mohan Yadav (@DrMohanYadav51) July 17, 2025

Vision & Goals

Eco-Friendly Design: Data centres will use advanced cooling technologies to reduce power consumption, water usage, and environmental impact.

AI Optimization: Infrastructure will be tailored for high-efficiency AI workloads.

Green Digital Transition: Aligns with MP’s goal to lead India’s climate-conscious tech transformation.

Government Support

• Land Allocation and Regulatory Clearances: Provided by the MP government.
• Incentives: Includes capital expenditure assistance, power tariff reimbursements, and electricity duty exemptions.
• Employment & Innovation: Expected to generate local jobs, skill development, and R&D opportunities.

Why MP?

• Existing Data Centres: Already operational in Bhopal and Gwalior.
• Geographic Advantage: Cities like Indore and Raipur offer low latency and affordable power.
• Investor Confidence: Attributed to stable governance and streamlined procedures.

What’s Next?

A delegation from Submer Technologies will visit Madhya Pradesh later this month to scout potential sites and engage with local stakeholders.