News from manufacturers

NVIDIA Powers Over 400 of the World’s 500 Fastest Supercomputers

NVIDIA technology powers over 400 of the world's 500 fastest supercomputers, representing 81% of the TOP500 list. The company's GPUs accelerate a record 238 systems, and its networking connects 376 systems. NVIDIA Grace CPU adoption has grown to 26 systems, and the top eight Green500 systems use NVIDIA GPUs.

“NVIDIA technology runs 81% of the TOP500 and 90% of the systems new to the list.” — NVIDIA

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NVIDIA Brings Trusted, 24/7 AI Agents to Telecom Operations

NVIDIA announced AI agent technologies for telecom operators at TM Forum's DTW Ignite 2026. The company highlighted synthetic data generation and secure agent runtimes to enable autonomous network operations. Partners including SoftBank, AdaptKey, Amdocs, and NTT DATA are piloting these solutions for tasks like self-healing networks and proactive customer care.

“Automation is no longer the finish line — it's the launchpad to autonomy.” — NVIDIA

At ISC, JUPITER Shows What Exascale Science Looks Like

JUPITER, Europe's first exascale supercomputer at Forschungszentrum Jülich, uses NVIDIA Grace Hopper Superchips and Quantum-X800 InfiniBand networking. Four projects running on JUPITER demonstrate exascale capabilities: mapping the human brain at cellular scale, simulating Earth's climate at 1-kilometer resolution, building AI for wireless networks, and simulating a 50-qubit quantum computer. The CytoNet foundation model for brain microarchitecture trained on JUPITER in under five days using 6.5

“With JUPITER, Europe doesn't just join the exascale era — it leads it, across the widest range of science and AI of any system worldwide.” — NVIDIA

NAIRR Science Program Reshapes Scientific Research, Powered by NVIDIA AI Infrastructure

The NAIRR pilot program, supported by NVIDIA, has enabled over 700 research projects in areas like protein prediction and disease management. NVIDIA provides cloud-based DGX nodes and technical support, helping researchers accelerate workflows. Notable projects include Polymathic AI's fluid simulation dataset, University of Michigan's MIST molecular models for energy storage, and Boston University's BEACON pipeline for infectious disease detection.

NVIDIA Vera CPU Opens the Way for Agentic Scientific AI at Los Alamos National Laboratory

Los Alamos National Laboratory will deploy three new supercomputers—Mission, Vision, and Veritas—built with HPE and NVIDIA. These systems use NVIDIA Vera CPUs and Rubin GPUs to accelerate scientific discovery and agentic AI. Early testing shows Vera outperforms x86 CPUs by 3-7x on specific workloads.

“Vera CPU delivered 7x higher performance on URSA workloads than the CPUs in the Crossroads x86 supercomputer.” — NVIDIA

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From Materials Simulation to Experimental Astronomy, New NVIDIA AI Software Unlocks Scientific Discoveries

NVIDIA announced new software at the ISC conference, including the DAQIRI library, ALCHEMI NIM microservices, and cuPhoton reference code, to accelerate AI for science. These tools, part of NVIDIA CUDA-X, enable GPU-accelerated pipelines for tasks such as materials simulation and astronomical data analysis. cuPhoton demonstrated significant speedups in processing FITS data from the Rubin Observatory's LSST camera.

“cuPhoton accelerated loading and reading of FITS images collected by the Rubin Observatory’s Legacy Survey of Space and Time (LSST) by 14,900x.” — NVIDIA

Eco Wave Power Turns Waves Into Watts With NVIDIA AI Infrastructure and Digital Twins

Eco Wave Power, an NVIDIA Inception startup, uses NVIDIA AI infrastructure and digital twins to convert ocean wave energy into electricity. The company's technology attaches floaters to existing coastal structures, keeping sensitive hardware on land. Digital twins built with NVIDIA Omniverse simulate wave conditions to optimize deployment, while AI enables real-time predictive analytics and energy management.

“Wave energy is one of the largest renewable energy sources that exists” — NVIDIA

Hotter Than a Hot Tub: The 45°C Breakthrough to Cool AI’s Biggest Machines

NVIDIA's Rubin generation of AI servers is the first to achieve 100% liquid cooling, operating at coolant temperatures up to 45°C. This closed-loop system eliminates fans and can reduce cooling energy and water consumption significantly, with potential savings of over $4 million annually in a 50 MW facility. The approach uses dry coolers and avoids evaporative water loss, cutting water use by up to 100% compared to traditional cooling towers.

“The NVIDIA DSX reference design for AI factories has zero water consumption — we have eliminated massive amounts of power usage and pretty much all water usage.” — NVIDIA

Intel Announces Leadership Appointment at Intel Foundry to Accelerate Development and Manufacturing

Intel appointed Seok-Hee Lee as executive vice president of Intel Foundry, reporting to CEO Lip-Bu Tan. Lee will oversee advanced packaging, system integration, and back-end technology development and manufacturing.

How FERC’s Large-Load Interconnection Actions Help Address Grid Stress, Improve Affordability

FERC issued a decision on large-load interconnection, affecting how AI factories and advanced manufacturing connect to the grid. The new policy allows large customers to fund their own grid upgrades and offers accelerated timelines for flexible loads. This aims to lower energy costs and strengthen the electrical grid.

“every 10% increase in state electricity consumption correlates with an approximately 6-cents-per-kilowatt-hour reduction in retail electricity prices” — NVIDIA