CUDA-X

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   NVIDIA launches cuPotential CUDA-X library for AI-defined fabs

   At SEMICON West, NVIDIA announced cuPotential, a new CUDA-X library developers can use to build AI agents that simulate how atoms and molecules interact; NVIDIA says early-access testing showed an additional 2–3x speedup on already GPU-optimized materials-simulation workflows, and the library is available in early access. Synopsys is the first adopter, citing a potential 30x speedup with cuEST on QuantumATK and a 12x speedup with cuDSS on S-Device benchmarks. Applied Materials, Cadence, KLA, Lam Research, Siemens and Synopsys are using NVIDIA's accelerated computing, Nemotron open models and CUDA-X libraries across chip design, manufacturing and inspection — for instance, Lam Research intends to integrate the open-source NanoVDB library into SEMulator3D for up to 30x faster wafer-etch modeling, and KLA reports its new NPP NCC kernel runs 50x faster than earlier CPU versions.

   NVIDIA Newsroom · 🔥 3

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