Solving large-scale problems in Electronic Design Automation (EDA), Computational Fluid Dynamics (CFD), and advanced optimization workflows has become the norm...

Solving large-scale problems in Electronic Design Automation (EDA), Computational Fluid Dynamics (CFD), and advanced optimization workflows has become the norm as chip designs, manufacturing, and multi-physics simulations have grown in complexity. These workloads push traditional solvers and require unprecedented scalability and performance. The NVIDIA CUDA Direct Sparse Solver (cuDSS) is built…

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High-performance computing (HPC) customers continue to scale rapidly, with generative AI, large language models (LLMs), computer vision, and other uses leading...

High-performance computing (HPC) customers continue to scale rapidly, with generative AI, large language models (LLMs), computer vision, and other uses leading to tremendous growth in GPU resource needs. As a result, GPU efficiency is an ever-growing focus of infrastructure optimization. With enormous GPU fleet sizes, even small inefficiencies translate into significant cluster bottlenecks…

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Join the Developer Kernel Hackathon, a four-part performance challenge hosted by NVIDIA in collaboration with GPU MODE and support from Dell and Sesterce. Push...

Join the Developer Kernel Hackathon, a four-part performance challenge hosted by NVIDIA in collaboration with GPU MODE and support from Dell and Sesterce. Push the limits of GPU performance and optimize low-level kernels for maximum efficiency on NVIDIA hardware. Compete for the chance to win the latest hardware for accelerated computing.

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