IBM Ventures Invests in BQP: Quantum Physics Acceleration Reaches Production

BQP Founding Team

• IBM Ventures has invested in BQP, bringing total funding to $8M and backing BQP's expansion from engineering design into real-time operational decisions. The investment extends a technical relationship that began in 2023, when BQP joined the IBM Quantum Network.


• Classical solvers leave roughly 85% of a GPU's floating-point capacity idle. BQP's flagship platform, BQPhy®, puts that capacity to work, resolving full-fidelity physics inside operational decision windows.


• BQPhy® is in production with aerospace and defense customers, with contracted and committed revenue up 8x since BQP's 2025 seed round and 3x customer growth.

BQP, the physics acceleration company, today announced a strategic investment from IBM Ventures, the venture capital arm of IBM. The investment brings BQP's total funding to $8M and funds BQPhy®'s expansion from engineering design into operational deployment, scaling delivery and go-to-market as BQP expands beyond aerospace and defense. Venn10 Capital and existing investor Monta Vista Capital also participated. Since its 2025 seed round, backed by New York State's venture arm and other institutional investors, BQP has grown contracted and committed revenue 8x, tripling its customer base and growing platform users 20x.

"An engineer with a deadline doesn't care where the answer came from. They care that it arrived in time and that the physics is right. The industry spent years treating this as a hardware problem that warranted faster chips, more of them, and eventually a quantum one. But it was always a software problem," said Abhishek Chopra, Founder and CEO of BQP.

Chopra added: "We spent those years earning our way into engineering workflows, so when the quantum machines are ready, nothing about how those teams work has to change. That's the path IBM has watched us build since 2023, and this investment says it's the right one."

Mission-critical decisions have deadlines, and high-fidelity physics simulations rarely meet them. More hardware has not closed the gap. Classical physics solvers leave roughly 85% of a GPU's floating-point capacity idle, because the sparse iterative methods underneath simulation are bound by memory access rather than compute. Teams choose between accurate models that return the right answer too late, or fast methods that answer on time by skipping the physics, leaving hidden risk behind over-engineered safety margins.

BQPhy® removes this trade-off between speed and accuracy. Its physics-AI optimization engine resolves the full physics inside the decision window, using the GPU capacity classical solvers leave idle. The platform delivers this through two solvers that share a single SDK, integrated natively into MATLAB as a MathWorks Connections Program partner, with standard APIs for Python, Julia, and other frameworks. This enables engineers to get the answers without leaving the tools they already use.

QuantumNOW™ is in production today on customers' existing CPU and GPU infrastructure, and each deployment maps which problems belong on a QPU - making QuantumMAX™, BQP's quantum-native solver in development, an on-ramp rather than a bet. It is written for heterogeneous CPU-GPU-QPU execution rather than a single hardware target.

"What stood out with BQP is that users don't have to change how they work to get quantum-accelerated results. Their proven track record of developing software that helps enterprises build a practical path toward hybrid quantum-classical computing is what gives IBM Ventures confidence in making this investment," said Emily Fontaine, Global Head of IBM Ventures.

In aerospace and defense, BQP's furthest-along work is in space. Under an SBIR with the U.S. Space Force and SpaceWERX, extending earlier work with the SDA TAP Lab, BQPhy®'s physics AI propagates a catalog of more than 3,000 space objects in under a second, roughly 250x faster than the open-source Orekit solver by compressing the model using proprietary algorithms. BQP also holds a CRADA with the Air Force Research Laboratory's Aerospace Systems Directorate and has demonstrated BQPhy® on radio-frequency signal problems for the tactical edge with NavalX. With Modovolo, BQP built a system-level propulsion optimization for UAV mission profiles, expanding from three design variables to more than twelve and tuning propeller and motor as a single unit; integration took roughly one week through the API.

In energy, BQP is applying the same platform to commercial systems, with EV battery thermal management work funded by India's Ministry of Heavy Industries and the Indian School of Business.

The same engine that predicts where a satellite is heading also predicts how heat moves through a battery pack or a data center rack: different industries with the same high-dimensional physics that has to resolve before the decision window closes.

QuantumNOW™ is in production; QuantumMAX™ is proving out. In work presented at USNC/TAM 2026, BQP ran QuantumMAX™ on quantum hardware for uncertainty quantification in computational fluid dynamics, reaching the same accuracy as classical Monte Carlo with fewer samples on a benchmark-scale problem. BQP's research is published in IEEE, AIAA, and APL Quantum, with best paper awards at AeroCon 2026 and the IEEE Space, Aerospace and Defence Conference (SPACE 2026).

About BQP

BQP (formerly BosonQ Psi) is a physics acceleration company applying quantum algorithms to mission-critical operational decisions. Its unified Quantum-HPC platform, BQPhy®, pairs physics AI surrogates with an optimization solver, delivering results on today's CPU and GPU infrastructure through QuantumNOW™ with quantum-native acceleration in development through QuantumMAX™ - both on a single SDK. Headquartered in Syracuse, New York, with offices in the UK and India. Learn more at https://www.bqpsim.com

AM Intelligence Orders 9,000 NVIDIA Rubin GPUs to Launch Asia’s First Frontier AI Cluster in Hyderabad

AMI has placed binding order for ~9,000 NVIDIA Rubin GPUs deployed as Vera Rubin NVL72 rack-scale systems in its first AI Factory in Hyderabad, part of its 1 GW compute capacity globally

AM Intelligence ("AMI"), the AI infrastructure platform set up by Promoters of Greenko, is striving to become the World’s leading, intelligence infrastructure company, powering the AI economy through vertically integrated energy, compute and innovation.

AMI today announced first step towards this vision by placing a firm and binding order for Vera Rubin delivery in Q1 2027 at its first AI factory in Hyderabad. The order covers 9,000 NVIDIA Rubin GPUs deployed as Vera Rubin NVL72 rack-scale systems for the 30 MW of capacity and will make AMI’s Hyderabad AI Factory as one of the first frontier AI compute clusters in Asia.

The Hyderabad facility will be the first tranche of AMI's planned 1 GW of Compute-as-a-Service capacity across India, the United States, Finland and Malaysia. AMI plans to bring an initial 200 megawatts (MW) of capacity to market in the near term, involving capital expenditure of more than USD 8 billion.

Anil Chalamalasetty, Chairman, AM Intelligence, said: “For over two decades, we have focused on transforming electrons into value — addressing critical and emerging societal needs. Today, the electron-to-token opportunity allows us to take this capability further, converting power infrastructure into frontier AI compute at scale. Bringing latest generation NVIDIA Vera Rubin to India marks the next step in this journey and establishes AMI at the forefront of the emerging AI electron-to-token economy.”

By integrating NVIDIA Vera Rubin architecture with high-throughput RDMA over Converged Ethernet (RoCE) networking for fast, efficient data movement, and advanced storage systems, the Hyderabad AI Factory is being designed to run some of the world’s largest and most sophisticated AI models, including trillion-parameter models and next-generation agentic AI applications.

NVIDIA Vera Rubin NVL72 introduces NVFP4, a new low-precision computing format designed to run AI workloads more efficiently, alongside next-generation High Bandwidth Memory (HBM4). The architecture is designed to reduce AI inference token-serving costs by up to 10 times compared with the preceding NVIDIA Grace Blackwell generation. AMI’s Hyderabad AI Factory is being engineered to deliver approximately 450 exaFLOPS of NVFP4 inference compute, providing massive computing capacity for running advanced AI models at scale.

AMI: Building Toward 5 Gigawatts

Over the last two decades, our focus has been on electron valorisation, creating progressively greater value from energy across energy management, molecules and metals, and now AI tokens, the units of information processed and generated by AI models. This end-to-end approach has been central to our philosophy of addressing critical and emerging societal needs.

Today, intelligence has reached the status of permeating humankind’s lives on a daily basis. AMI, as a strategic builder of long-term heavy assets, will leverage its unique power solutions, capex advantage and access to next-generation NVIDIA AI infrastructure to deliver highly cost-competitive electron-to-token economics by integrating energy infrastructure with the computing capacity required to train and run AI models. This will enable wider deployment of AI with a collaborative service offering spanning across hyperscalers, neo cloud providers, sovereign AI initiatives, frontier labs, AI natives and local developer communities.

AMI is developing 5 GW of powered AI data centres across India, the United States and Europe. These facilities are being designed for high-density AI computing, using liquid cooling to manage the significant power and heat requirements of advanced AI chips, while allowing the infrastructure to accommodate successive generations of AI silicon. AMI also intends to bring 1 GW of Compute-as-a-Service capacity to global AI workloads with initial capacity of 200 MW coming online in short-term.

About AM Intelligence:

AM Intelligence (AMI) is building a full-stack AI infrastructure ecosystem spanning energy, data-center infrastructure, hardware, and customized AI models. Backed by Greenko's owned renewable generation and storage, AMI is developing gigawatt-scale, liquid-cooled compute capacity designed to serve global hyperscalers, frontier AI labs, enterprises, and India's sovereign AI initiatives — while widening chipset access for Indian developers building domestic and global AI solutions. AM Intelligence is developing 5 GW of powered AI data centres and 1 GW of Compute-as-a-Service across India, United States and Europe, with 200 MW of Compute-as-a-Service capacity coming to market in the near term.

AMI, promoted by the founders of Greenko, is building globally differentiated platforms across energy, molecules and AI with a focus on enabling next generation of intelligent infrastructure. On electrons, we are building a 50 GW energy infrastructure platform across 20+ states, spanning solar, wind, hydro and energy storage. We are also developing the world’s first interconnected energy storage platform, targeting 200 GWh of storage capacity across India.

On molecules, we are developing low-carbon molecule platform, including green ammonia, with a target of 5 Mtpa of green ammonia capacity across multiple locations in India. Our 1 Mtpa green ammonia project currently under construction is expected to be among the world’s largest RFNBO-compliant green ammonia facilities, supporting energy diversification for Global markets for multitude of use cases across power generation, mobility amongst others.

Schaeffler India, IISc Launch World-Class HPC Infrastructure Driving Sustainable Innovation

Schaeffler India, the motion technology company, has announced the opening of a computational research infrastructure at the Foundation for Science Innovation and Development (FSID), Bengaluru. Part of Schaeffler India’s purposeful engagement with IISC, premium research academia, this supported facility strengthens research capabilities by enabling HPC (High- Performance Computing) large-scale simulations, data-intensive modelling and advanced analytics across materials, energy systems, and sustainable mobility. Additionally, these improvements will foster stronger industry collaborations, improved research quality and efficiency, and increased relevance of research in industry projects.

The initiative focuses on expanding FSID’s computational facilities through the acquisition of dedicated lab space, advanced in-rack cooling systems, power backup and high-performance hybrid computing workstations or clusters. These enhancements will significantly improve computational efficiency and support cutting-edge research.

The enhanced facility will benefit a wide range of stakeholders directly, including faculty members of the Indian Institute of Science (IISC), FSID-incubated startups, external startups and MSMEs accessing advanced digital infrastructure, industry partners engaged in R&D collaborations. Indirectly, the expanded infrastructure will support PhD scholars, postgraduate and undergraduate students, postdoctoral researchers, and the broader academic and industrial ecosystem.

Schaeffler India has also signed a Master Research Agreement (MRA) with the Indian Institute of Science (IISC), setting foundation for multiple future research projects and further strengthening its commitment to collaborative innovation and advanced research.

“At Schaeffler India, we are committed to building skills and manufacturing excellence rooted in India’s unique strengths, aligned with its needs, and geared towards creating lasting value. Such efforts depend on strong academia-industry collaboration, with institutions like Indian Institute of Science playing a critical role in equipping researchers with the right tools and expertise.

We’re proud to support its latest computational infrastructure through Schaeffler India’s CSR programme, HOPE. Beyond its immediate purpose, the facility will empower a wide spectrum of IISC research projects across diverse streams and teams, thereby amplifying the impact of collaborative research. Schaeffler India and IISC have a strong pipeline of joint projects, and our teams are fully aligned to move into execution. It reflects what's possible when two organizations come together with a shared purpose to strengthen research across multiple disciplines at IISC.” said Mr. Harsha Kadam, MD & CEO, Schaeffler India.

“The initiative of Schaeffler India to establish a high-performance computational facility for developing intelligent and sustainable systems at FSID, IISC, is highly commendable. With the long-term aim of creating a computational facility with a peak performance of around 32 PFLOPs, comprising a mixture of CPUs and GPUs, the facility will be highly beneficial for the research groups at IISC, startups incubated at FSID, and industries that collaborate with FSID/IISC. We look forward to the increasing digitalization, automation, and acceleration of research that this facility can create around the IISC ecosystem and the upcoming long-term collaborative activities with Schaeffler India.” said Sai Gautam Gopalakrishnan, Associate Professor of Materials Engineering, IISC.

Prof B. Gurumoorthy, Director- Foundation for Science Innovation and Development, said, “Being the interface for collaborative research with industry and deep science innovation at Indian Institute of Science, we are pleased to have this new infrastructure, which will significantly strengthen our ability to support faculty and other researchers pursuing interdisciplinary research across materials, energy systems, and sustainable mobility. This collaboration with Schaeffler India marks an important step in enhancing FSID’s capabilities in high-end simulations, data-intensive research, and next-generation technology development. We see this as a strong example of how industry-academia partnerships can accelerate research and innovation with real-world relevance".

By strengthening FSID's computational infrastructure, Schaeffler India aims to catalyze agile and impactful research engineering domains. This partnership will accelerate scientific deliverables, skill up the next-generation workforce, and drive industry-relevant solutions.

NetApp Unveils New High-Performance EF-Series Models

NetApp® (NASDAQ: NTAP), the Intelligent Data Infrastructure company, today announced the release of the next generation of NetApp EF-Series storage systems, built to power the most performance‑intensive workloads at scale. The introduction of EF50 and EF80 helps enterprises and neoclouds meet the growing demands of AI, high-performance computing (HPC), and transactional databases, including in emerging use cases like sovereign AI clouds and AI-powered manufacturing.

“Data is the key component to delivering business value for enterprises, underpinning performance hungry workloads like AI or databases,” said Sandeep Singh, Senior Vice President and General Manager of Enterprise Storage at NetApp. “As businesses contend with ever-increasing data volumes and performance-intensive applications such as AI model training, AI inferencing and high-performance computing, they need infrastructure that delivers speed, scalability and efficiency without added complexity. NetApp delivers a comprehensive portfolio that addresses every stage of the AI data pipeline from collecting and preparing data to feeding it to GenAI models that produce business insights. With the new EF-Series systems, purpose-built for extreme performance, we’re enabling customers to deploy and scale high-throughput, low-latency workloads quickly and efficiently, while reducing data center footprint and operational overhead.”

Coupled with high-performance parallel file systems like Lustre or BeeGFS, the new EF50 and EF80 systems accelerate HPC simulations and keep GPUs fully utilized with high-performance scratch space, helping organizations unlock new value and competitive advantage at the right price. Customers ranging from neocloud providers driving AI innovation to movie studios managing massive media libraries will benefit from not only performance and scalability but also robust security measures to safeguard sensitive information and prevent data loss.

The new EF-Series storage systems deliver over 110GBps of read throughput and 55GBps of write throughput, a 250 percent improvement over previous generations. With a power efficiency of 63.7GBps per KW, and 1.5PB of storage in 2U, the new systems ensure reliable, high-performance with efficient rack density and an affordable cost. With EF-Series, organizations can:

• Achieve high performance for data-intensive workloads, scaling capacity without sacrificing efficiency or latency
• Balance budget requirements with high-performance needs to make better decisions faster
• Simplify management and operational complexity with affordable block storage, streamlined deployment and support from NetApp’s technical experts.

“As we navigate the AI era, many enterprises are finding that they need to maximize their raw performance to extract the most value from their data,” said Clayton Vipond, Senior Solution Architect at CDW. “The refreshed NetApp EF-Series delivers the throughput and capacity businesses need to scale high-powered workloads that transform data into insights and outcomes.”

"NetApp's EF-Series systems give Teradata the storage performance needed to support our most demanding workloads," said Sumeet Arora, Chief Product Officer, Teradata. "We appreciate that NetApp continues to invest in this technology, and with the enhanced performance of the new models, we look forward to exploring opportunities to reduce infrastructure complexity and support the AI and data modernization initiatives our customers care about."

“By delivering a high-performance storage system that supports parallel file systems like Lustre and BeeGFS, NetApp is making its mark as emerging industries, such as neocloud, emerge to support the AI-Era,” said Simon Robinson, Principal Analyst at Omdia. “Our research validates that AI workloads require a level of raw performance unmatched by any mainstream business workload to date. With the new EF-series systems, NetApp is delivering a solution that addresses the performance needs of large-scale AI projects, whether model training or inference.”

The updated EF-Series builds on decades of durability and reliability from NetApp. With more than 1 million installations, it has a proven track record that customers can rely on.

Additional Resources

• NetApp E-Series Hybrid and EF-Series All Flash: Built for Dedicated, High-Bandwidth Applications
• Power your AI Workloads and Data at the Speed of Innovation

AMD EPYC Fuels Mahindra’s Scalable HPC Platform for Design and Simulation

Challenging the perception that high-performance computing (HPC) in the cloud is costly, Mahindra has modernized its HPC infrastructure by adopting AMD EPYC™ processor-powered virtual machines on Google Cloud. This move enhances compute efficiency across Mahindra’s HPC workloads, enabling Mahindra to drive new revenue streams while boosting efficiency and reducing total cost of ownership (TCO).

Mahindra built an on-demand HPC platform to support compute-intensive workloads such as product design and virtual product simulation activities. During the digital-first launch of the Thar ROXX five-door SUV, Mahindra processed approximately 200,000 vehicle reservations online in just 1.5 hours – a feat not possible through traditional showroom-based rollouts. AMD EPYC processors deliver the performance, memory bandwidth, and core density needed to run these workloads at scale in the cloud – achieving significant infrastructure and software licensing cost savings.

Key highlights include: 

• Cost Optimization: Achieved approximately 40 percent overall savings. 
• Performance and Efficiency: Improved performance per core while reducing licensing costs.
• Scalable Platform: Infrastructure supports HPC, design, and enterprise workloads.
• Faster Innovation: Enabled faster design processing and more responsive digital experiences.

"By moving our workloads to AMD EPYC CPU-based virtual machines, we have seen greater application performance and up to 40 percent cost savings. The performance and efficiency of AMD EPYC processors have strengthened our business case and accelerated our IT transformation," said Abhishek Sukhwal, Head of Infrastructure, Mahindra Group.

"AMD EPYC processors are engineered to help enterprises like Mahindra accelerate innovation, whether on-prem or in the cloud," said Vinay Sinha, Managing Director – India Sales, AMD. "By delivering a strong combination of performance, core density, and energy efficiency, EPYC processors empower organizations to scale compute-intensive workloads while optimizing TCO."

To learn more, visit:
www.amd.com/en/resources/case-studies/mahindra.html

PM Modi Dedicates India Three Supercomputers and An HPC System for Climate Research

Prime Minister Shri Narendra Modi dedicates to nation three PARAM Rudra Supercomputers via video conferencing

Inaugurates High-Performance Computing (HPC) system tailored for weather and climate research

Prime Minister Narendra Modi has dedicated three PARAM Rudra supercomputers to the nation via video conferencing. These supercomputers, developed under the National Supercomputing Mission (NSM) at a cost of around ₹130 crore, have been deployed in Pune, Delhi, and Kolkata.

The PARAM Rudra supercomputers are designed to facilitate advanced research in fields such as physics, earth sciences, and cosmology.

Additionally, a High-Performance Computing (HPC) system tailored for weather and climate research was also inaugurated. This initiative marks a significant step towards self-reliance in computing and driving innovation in science and technology in India.

This project represents an investment of Rs. 850 crore, marking a significant leap in India's computational capabilities for meteorological applications. Located at two key sites, the Indian Institute of Tropical Meteorology (IITM) in Pune and the National Center for Medium Range Weather Forecast (NCMRWF) in Noida, this HPC system has extraordinary computing power.

The new HPC systems are named 'Arka' and 'Arunika,' reflecting their connection to the Sun. These high-resolution models will significantly enhance the accuracy and lead time of predictions related to tropical cyclones, heavy precipitation, thunderstorms, hailstorms, heat waves, droughts, and other critical weather phenomena.

Addressing the occasion, the Prime Minister said that today marks a huge achievement in the field of science and technology for India and is a reflection of the nation’s progress by prioritizing research and development. “Today’s India is carving new opportunities in the endless horizon of possibilities”, the Prime Minister remarked. The Prime Minister mentioned the development of three PARAM Rudra Supercomputers by India’s scientists and their installation in Delhi, Pune and Kolkata, and also spoke about the inauguration of ‘Arka’ and ‘Arunika’, a High-Performance Computing (HPC) system tailored for weather and climate research. The Prime Minister conveyed his best wishes to the entire scientific community, engineers and all citizens.

The Prime Minister dedicated the three PARAM Rudra Supercomputers to the youth of the nation as he recalled granting 25 extra days apart from the 100 days towards youth at the onset of the third term. He underlined that these supercomputers will play a crucial role towards making such state-of-the-art technology available to young scientists in the country and highlighted its usage in aiding advanced research in the fields of physics, earth sciences and cosmology. Such sectors, the Prime Minister said, envision the future of science and technology.

C-DAC Partners Hyderabad-based SemiCon Firm MosChip and Japan's Socionext for AUM Processor Development

C-DAC (Centre for Development of Advanced Computing) has joined forces with Hyderabad-based semiconductor company MosChip Technologies and Japan-based Socionext Inc. to design and develop a High-Performance Computing (HPC) Processor System on Chip (SoC) called "AUM."

This indigenous processor is based on the Arm architecture and will be built using TSMC's 5nm technology. The AUM processor aims to enhance India's supercomputing capabilities and contribute to solving grand challenge problems of national and global significance.

The AUM Processor will be a groundbreaking achievement in India's pursuit of technological self-sufficiency. Developed by the C-DAC. This indigenous chip is poised to revolutionize supercomputing in India.

The AUM processor is based on the Arm Neoverse V1 design, specifically the v8.4 "Zeus" variant. It features 96 cores and follows a chiplet design. The onboard memory capacity is 64 GB. The AUM processor targets large-scale workloads, including scientific simulations, data analytics, and machine learning applications.

Developed under the National Supercomputing Mission, the AUM processor aims to achieve HPC independence for India—from the processor level up to complete systems and software. It ensures that India's supply chain for HPC parts and systems remains immune from potential imports. The Indian government emphasizes security, ensuring there are no hardware or software backdoors in the AUM processor. Given India's geopolitical context, this focus on security is crucial.

About MosChip Technologies, the semiconductor company has been involved in several notable projects, showcasing their expertise in semiconductor design and system solutions.

It was in early of last month when MosChip Technologies has secured this substantial contract of AUM Processor worth Rs 509.37 crore from the C-DAC. The project involves developing an HPC SoC using cutting-edge 5nm technology. This landmark project not only strengthens MosChip's global positioning but also opens new avenues in both domestic and international markets for Turnkey ASIC solutions.

MosChip collaborate with leading foundries like TSMC, UMC, Global Foundries, and Tower Jazz.

On the other hand, Socionext Inc. is a Japan-based system-on-chip (SoC) company formed in March 2015 from the former system LSI businesses of Fujitsu and Panasonic. They specialize in imaging, networking, and other dynamic technologies that drive today's leading-edge applications. Socionext provides quality semiconductor products based on extensive and differentiated IPs, proven design methodologies, and state-of-the-art implementation expertise, with full support. They contribute to the realization of a sustainable and prosperous society through cutting-edge SoC technology.

Shri E Magesh, Director General, C-DAC, said "The collaboration between C-DAC and MosChip & Socionext to develop cutting-edge HPC processor, which is designed to meet the evolving demands of High-Performance-Computing and related applications, exemplifies the growing synergy between R&D and Industry. This joint effort marks a significant milestone in technological advancement, leveraging C-DAC’s expertise in Supercomputing technology and MosChip’s and Socionext’s capabilities in semiconductor design and manufacturing. The collaboration aims to design, develop and produce indigenous HPC processor that not only meets global standards but also propels India to the forefront in supercomputing arena. This collaboration is also a significant step forward in our efforts to bolster India’s position in the global semiconductor landscape.”

C-DAC is working towards complete indigenization of supercomputing technology. Towards this, C-DAC has developed indigenous compute node RUDRA, Trinetra-Interconnect and System Software stack. Further for complete indigenization of HPC system development, C-DAC is designing an indigenous HPC Processor AUM. Keenheads Technologies, an Indian Startup, has been engaged by C-DAC as Program Management Consultant (PMC) for the project.