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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The scientific process can be repetitive and tedious, with researchers spending hours digging through papers, managing experiment workflows, or wrangling...

The scientific process can be repetitive and tedious, with researchers spending hours digging through papers, managing experiment workflows, or wrangling massive multi-modal datasets. Scientific AI agents can take on much of that busywork, acting as assistants that review literature, generate hypotheses, plan experiments, submit computational jobs, orchestrate lab operations, analyze results…

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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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