NVIDIA used 8,192 GPUs on Europe's JUPITER supercomputer to simulate 104 qubits under realistic hardware noise.
NVIDIA researchers are using JUPITER — the largest supercomputer in Europe, built at Jülich Supercomputing Centre — for a record-breaking fault-tolerant quantum computing simulation. The 104-qubit ...
The libraries support chip simulation, inspection, testing and fab automation using GPU-accelerated tools and AI models.
Nvidia’s new Arm-based laptop chip is an exciting new challenger, but exclusively for the high-end. ...
Nvidia on October 14 named Synopsys, Cadence, KLA, Lam Research, Applied Materials, Siemens, Teradyne and Advantest as partners wiring its ...
NVIDIA today announced semiconductor leaders are adopting NVIDIA CUDA-X libraries — including the new NVIDIA cuPotential library, which developers can use to build AI agents that simulate how atoms ...
NVIDIA says AI agents can help rewrite Apache Spark UDFs for GPU acceleration, with reported 22x speedups in a 600-billion-row workload.
Enterprise applications have become increasingly demanding. Agentic AI has compounded the need for vast amounts of enterprise ...
Qualcomm opens the software above its chips through Arduino, Modular, Edge Impulse, and PickNik while competing hard at the ...
Nvidia has told investors that it isn't working on its own quantum computing unit. Instead, it's choosing to focus its resources on traditional computing, even as it recognizes that quantum computing ...
Researchers have shown that exotic quantum particles called non-Abelian anyons can perform the full range of operations needed for universal quantum computing. Using 54 qubits on Quantinuum’s H2 ...
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