India, South Africa to Scale Up Tech Partnership in AI, Digital Infrastructure and Advanced Manufacturing

India and South Africa have agreed to scale up bilateral cooperation in future technologies, prioritizing Artificial Intelligence, Digital Infrastructure, and Advanced Manufacturing. The talks, held in New Delhi between Union Minister Dr. Jitendra Singh and South Africa’s Deputy Minister Dr. Nomalungelo Gina, mark a shift from traditional research ties to innovation-driven partnerships with global impact.

India–South Africa to Scale Up Tech Partnership

Key Outcomes of Bilateral Talks

• Agreed to intensify cooperation in Artificial Intelligence, Digital Infrastructure, and Advanced Manufacturing.
• Shift from traditional research to innovation-driven partnerships delivering economic and societal impact.
• Focus on startup ecosystems and industry-linked research for scalable solutions.

Strategic Context

• India’s innovation ecosystem driven by national initiatives in AI, Quantum Technologies, Cyber-Physical Systems, and Digital Public Infrastructure.
• South Africa highlighted nearly 150 co-funded projects already underway, with scope for expansion in emerging technologies.
• Both nations reaffirmed their role as influential voices of the Global South through BRICS, IBSA, G20, and IORA.

Priority Areas of Collaboration

Focus Area	Details
Artificial Intelligence	Collaborative research and deployment of AI-driven solutions.
Digital Infrastructure	Strengthening digital public platforms and connectivity.
Advanced Manufacturing	Joint work in advanced materials, geospatial technologies, and scalable manufacturing systems.
Biotechnology & Health	Opportunities in genomics, vaccine development, pandemic preparedness, and affordable healthcare innovation.
Renewable Energy	South Africa expressed strong interest in hydrogen technologies and clean energy collaboration.

Upcoming Engagements

• BRICS STI Ministerial Meeting in Chennai, August 2026 — India invited South Africa’s active participation.
• Science Forum South Africa 2026 — India invited to join Africa’s premier platform for global scientific dialogue.

Long-Term Partnership

• Since the 1995 bilateral S&T Agreement, cooperation has expanded across astronomy, biotechnology, health sciences, renewable energy, and advanced materials.
• Nearly 150 co-funded projects already supported, with structured institutional mechanisms driving deeper collaboration.
• Shared resolve to build a future-ready innovation partnership focused on research excellence, commercialization, startup collaboration, and societal outcomes.

SpaceX Sets $135 IPO Price, Targets $75B Raise

SpaceX has officially set its IPO share price at $135 per share, targeting a $75 billion raise and a valuation of around $1.75 –$1.77 trillion— making it the largest initial public offering in history. Trading is expected to begin on June b12, 2026 on Nasdaq under the ticker SPCX, with Elon Musk retaining over 85% voting control.

SpaceX IPO Overview

Key IPO Details

Parameter	Information
Share Price	$135 per share (fixed, no price range)
Total Shares Offered	≈ 555.6 million
Funds Raised	≈ $75 billion
Valuation	$1.75 – $1.77 trillion
Listing Date	June 12, 2026
Exchange & Ticker	Nasdaq – SPCX
Underwriters	Goldman Sachs, Morgan Stanley, BofA Securities, Citigroup, J.P. Morgan, Barclays
Retail Allocation	Up to 30% of shares, unusually high for a mega-IPO
Lock-up Period	366 days for Musk and insiders
Voting Control	Musk retains ≈ 85% voting power, 42% economic ownership

Strategic Context

• Record-breaking scale: The $75 billion raise surpasses Saudi Aramco’s $29.4 billion IPO (2019), making SpaceX the largest public listing ever.
• Business mix: SpaceX’s empire spans Falcon 9, Starlink, Starship, and xAI, positioning it across aerospace, satellite internet, and AI computing.
• Revenue snapshot: 2025 revenue ≈ $18.7 billion (+33% YoY); Q1 2026 ≈ $4.7 billion.
• Profitability: Still negative (2025 net loss ≈ $4.9 billion) due to heavy investment in rockets, satellites, and AI data centers.
• Market ambition: Prospectus cites a $28.5 trillion total addressable market, covering space travel, global internet, and AI infrastructure.

Investor Considerations

• Unusual pricing: SpaceX broke convention by fixing $135 before its roadshow — a “take-it-or-leave-it” approach leveraging Musk’s retail following.
• Valuation risk: At ≈ 94× trailing revenue, analysts warn of overvaluation vs. peers (Tesla ≈ 17×, Palantir ≈ 81×).
• Governance: Dual-class structure limits ordinary shareholder influence.
• Liquidity: Only ≈ 5% of shares will be publicly tradable initially.

Broader Impact

• Cements Musk’s control over the world’s largest space and AI enterprise.
• Triggers a wave of mega-listings (OpenAI and Anthropic expected next).
• Redefines public market valuations for deep-tech companies.

Nvidia Acquires Kumo AI in ~$400M Push Into Enterprise Predictive Models

Nvidia has acquired enterprise AI startup Kumo AI for at least $400 million, strengthening its push into predictive foundation models for structured business data, reported The Information. The deal brings Kumo’s co-founders and proprietary graph neural network technology into Nvidia’s enterprise AI portfolio.

Kumo AI is a Mountain View–based enterprise AI startup founded in 2021 by Vanja Josifovski, Hema Raghavan, and Jure Leskovec. It raised $37 million in funding, led by Sequoia Capital, before being acquired by Nvidia in 2026.

In terms of funding, Kumo AI raised $37 million in 2022, with Sequoia Capital leading the investment. Other backers included SV Angel and a group of angel investors. Before its acquisition by Nvidia in 2026, Kumo had already secured enterprise customers such as Reddit, Sainsbury’s, DoorDash, Databricks, and Snowflake, positioning itself as a key player in predictive AI for business applications.

Key Facts About the Acquisition

• Deal Value: At least $400 million (reported by The Information).
• Company Acquired: Kumo AI, founded in 2022, focused on predictive AI for enterprise data.
• Co-founders: Vanja Josifovski, Hema Raghavan, and Jure Leskovec (all now at Nvidia).
• Funding History: Raised $37 million in 2022 from Sequoia Capital.
• Customers: Reddit, Sainsbury’s, DoorDash, Databricks, Snowflake.
• Technology: Uses graph neural networks and a proprietary Predictive Query Language to automate data preparation and answer predictive business questions.

Strategic Purpose

• Enterprise AI Expansion: Nvidia is broadening beyond chips into enterprise AI software, embedding predictive models directly into workflows.
• Hardware Synergy: Kumo’s models are expected to be optimized for Nvidia GPUs, strengthening Nvidia’s AI foundry software ecosystem.
• Competitive Edge: Helps Nvidia compete with hyperscalers (AWS, Google Cloud, Microsoft) and enterprise-focused AI rivals like Anthropic.
• Use Cases: Customer churn prediction, payment risk analysis, and operational forecasting for structured enterprise data.

Technical Highlights

• Graph Neural Networks: Represent enterprise data as nodes and edges, enabling richer predictive insights than row-based models.
• Predictive Query Language: Translates natural-language questions into model queries.
• Automation: Cuts manual data preparation effort by up to 95%.
• Latest Release: KumoRFM-2 model (April 2026), designed for structured data analysis.

Nvidia’s Broader Context

• Q1 FY2027 Revenue: $81.6B (up 85% YoY), driven by data center demand.
• New Products: Vera CPU, Cosmos 3 foundation model for robotics/autonomous driving.
• Challenges: Component shortages limiting near-term growth despite record demand.

Why It Matters for Enterprises

• Faster AI Deployment: Kumo’s automation reduces setup time, making predictive AI accessible to non-technical teams.
• Integration Potential: Likely to be embedded into Nvidia’s enterprise AI stack, enabling customized models for industries like retail, finance, and logistics.
• India Context: Gurugram’s IT and consulting firms could benefit early, given Nvidia’s global rollout and Kumo’s enterprise focus.

Nvidia has been on an aggressive acquisition spree in 2024–2026, targeting AI infrastructure, semiconductors, and enterprise software. Its most recent deals include the $400M purchase of Kumo AI, a $20B acquisition of Groq, and a $700M buyout of Run:ai.

Nvidia’s Major Recent Acquisitions (2024–2026)

Company	Year	Deal Value	Sector	Key Focus
Run:ai	2024	$700M	AI Infrastructure	Israeli AI orchestration platform for GPU scheduling and enterprise AI workloads.
Deci	2024	$300M	Deep Learning	Acceleration platform improving model performance up to 15x.
Groq	2025	$20B	AI Chips	High-performance inference processors; Groq’s TPU-like tech integrated into Nvidia’s AI factory.
Shoreline.io	2024	$100M	Cloud Ops	Automates system incident fixes; founded by ex-AWS executive.
OctoAI	2024	$250M	Healthcare AI	Seattle-based startup focused on medical AI solutions.
VinBrain	2024	Undisclosed	Healthcare AI	Vietnamese healthcare AI subsidiary of Vingroup.
Kumo AI	2026	$400M	Predictive AI	Structured data predictive models using graph neural networks.
OpenAI (equity stake)	2026	$30B+	Generative AI	Strategic investment to deepen Nvidia’s role in LLM deployment.
Corning	2026	$2.7B	Optical Connectivity	Strengthening data center interconnects.
Intel (stake)	2025	$5B	Semiconductors	Partnership to expand AI chip collaboration.

Persistent Anchors Databricks‑Powered AI Hackathon to Build Enterprise‑Ready Talent

Persistent Systems (BSE: 533179 and NSE: PERSISTENT), a global Digital Engineering and Enterprise Modernization leader, collaborated on an AI engineering talent initiative with Databricks and the Milwaukee School of Engineering (MSOE) to help strengthen the next generation of enterprise-ready AI talent.

Developed in collaboration with the MSOE AI Club, Persistent anchored a Databricks-powered AI Hackathon to scale AI delivery capabilities through deeper collaboration across academia, technology ecosystems and industry practitioners. The program provided students with the opportunity to work with AI professionals, bridging the gap between academic AI learning and real-world implementation.

Using the Databricks Data Intelligence Platform and supported by the Databricks University Alliance, the initiative gave students hands-on exposure to advanced data and AI engineering environments used in modern analytics, Generative AI and operational AI deployments. It also emphasized on operational scalability, governance, reliability and engineering discipline. Participants worked across the AI lifecycle using technologies including Delta Lake, Unity Catalog, Agent Bricks, and Databricks Workflows, gaining practical experience in scalable AI pipelines, governed data environments, AI orchestration and production-ready AI architectures.

Persistent’s senior architects and project leads worked directly with participants to bring architectural thinking, governance frameworks and enterprise deployment considerations into the learning experience, helping students better understand how AI systems are built and scaled in business environments.

The collaboration also strengthens Persistent’s engagement with MSOE, a leading institution in applied AI and engineering education. Through its work with the MSOE AI Club, the Company is contributing to an academic ecosystem focused on AI, robotics, data science and next-generation engineering innovation while deepening engagement with emerging talent.

The initiative is part of Persistent’s broader collaboration with Databricks. As a Global Systems Integrator partner, the Company brings strong Databricks capabilities, including over 1,300 Databricks experts, 950+ certifications and proprietary accelerators such as the iAURA suite, helping enterprises modernize data foundations and scale analytics, Generative AI and enterprise AI adoption across the business.

Together, Persistent, Databricks and MSOE are establishing a model that integrates enterprise platforms, practitioner expertise and academic innovation to accelerate workforce readiness for an AI-driven economy.

Key Highlights

• Enterprise AI engineering initiative designed to strengthen workforce readiness for production-scale AI deployments
• Hands-on exposure to enterprise-grade AI engineering workflows, governed data environments and operational AI systems
• Participants worked with Delta Lake, Unity Catalog, Agent Bricks and Databricks Workflows
• Focused on scalable AI pipelines, AI governance, AI orchestration and production-grade enterprise AI architectures.

Sameer Dixit, Corporate Vice President and Head of Data, AI and Integration, Persistent, “The AI market is shifting from isolated pilots to enterprise-wide operationalization, demanding engineers fluent in governed data, scalable platforms and production-grade execution. Our exclusive AI Hackathon with Databricks and MSOE equips students with real-world platform experience and engineering discipline from day one. This approach is rooted in Persistent's hackathon DNA. ‘Semicolons’ - our flagship global annual hackathon, has consistently turned ideas into enterprise-grade solutions and we are now extending that proven model into academia. Strengthening this connection between academia and industry is key to sustaining innovation in the years ahead.”

John Young, Global Managing Director – Partner Solution Architects, Databricks, “AI is only as powerful as the data foundations behind it and organizations today are standardizing on platforms that bring data, analytics and AI together. Preparing talent to work in these unified environments is becoming critical. Collaborations like this with Persistent and MSOE help students build that foundation early, so they can contribute meaningfully from day one in enterprise settings. Strengthening this connection between academia and industry is key to sustaining innovation in the years ahead.”

Derek Riley, PhD, Professor, Program Director of Computer Science, Milwaukee School of Engineering, “The support from Persistent and Databricks has been transformative for the MSOE AI Club and our members. The hackathon brought valuable motivation, perspective, and experience into the classroom and challenged students to think beyond the academic lessons of their classwork. These experiences play an important role in how we prepare graduates to navigate a rapidly evolving AI landscape and deliver value for their future employers.”

Heat Waves as a Human Rights Concern: NHRC Calls for Ward‑Level Resilience and Climate‑Smart Cities

The National Human Rights Commission (NHRC) has declared heat waves a pressing human rights issue, urging governments to integrate heat resilience into urban planning, worker protection, and ecosystem restoration. At its June 4, 2026 meeting in New Delhi, the Commission gathered experts, policymakers, and civil society leaders to deliberate on strategies for reducing heat‑related mortality and morbidity.

Human Rights Lens on Heat Stress

• Justice V. Ramasubramanian (Chairperson, NHRC): Emphasised that deforestation, wetland loss, and encroachment on water bodies are key drivers of heat stress. Called for strict regulation of construction near rivers and lakes and stronger enforcement of urban planning norms.
• Justice (Dr.) Bidyut Ranjan Sarangi: Highlighted the need to balance urban expansion with environmental safeguards, ensuring green spaces for future generations.
• Shri Bharat Lal (Secretary General, NHRC): Warned that heat waves disproportionately affect construction workers, gig workers, elderly persons, pregnant women, and children, making resilience a matter of social justice.

Scientific and Institutional Perspectives

• Prof. N. H. Ravindranath (IISc): Advocated AI‑driven vulnerability mapping, ward‑level forecasting, and appointment of dedicated Heat Officers.
• India Meteorological Department (IMD): Projected above‑normal heat wave days in June 2026, stressing the importance of multi‑tier forecasting and direct advisories to vulnerable groups.
• National Disaster Management Authority (NDMA): Reported that 23 states have Heat Action Plans, but urged stronger district‑level implementation and dedicated funding.
• Ministry of Health and Family Welfare (MoHFW): Warned of rising heat‑related health risks by 2035, calling for expanded surveillance, hospital preparedness, and medical training.

Urban and Policy Recommendations

• Ward‑level heat vulnerability maps using GIS, AI, and land surface temperature data.
• Institutionalisation of Heat Action Plans across states and cities, with governance dashboards and inter‑departmental coordination.
• Unified surveillance systems for heat‑related mortality and morbidity.
• Occupational heat‑safety standards and community cooling centres for vulnerable populations.
• Heat‑resilient urban design: Passive cooling, cool roofs, reflective materials, ventilation corridors.
• Nature‑based solutions: Urban forests, green corridors, wetland buffers, restoration of rivers and lakes.
• Sustainable water management: Rainwater harvesting, groundwater recharge, wastewater reuse.
• Public awareness campaigns with multilingual outreach, including voice alerts for digitally excluded groups.
• Integration into city master plans and budgets, backed by dedicated funding and institutional support.

Expert Voices

• Ahmedabad’s Heat Action Plan: Showcased as a pioneering model, reducing heat‑related deaths through early warning systems, cool roofs, shaded spaces, and worker protection.
• Dr. Promode Kant (AIWC): Suggested reflective roofs, transplantation of larger plants, and shade expansion around schools.
• Dr. Prerna Joshi (NIDM): Called for legal enforcement of worker protections and decentralised green spaces.
• Patricia Mukhim (Shillong Times): Warned of weak enforcement of environmental laws in the North‑East, stressing protection of rivers and forests.
• Dr. Shalini Dhyani (CSIR‑NEERI): Advocated ecosystem‑based urban planning and equitable distribution of green spaces.

Conclusion

The NHRC’s deliberations underline that heat resilience is not just an environmental challenge but a human rights imperative. The Commission will refine these recommendations before submitting them to the Centre and state governments, aiming to mainstream heat resilience into India’s urban and climate governance.