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NVIDIA/raft
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
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- PossiblePossibly related (embedding) · 50%GPU Parallelization Strategies for Forward and Backward Propagation in Shallow Neural Networks: A CUDA-Based Comparative Study →
- PossiblePossibly related (embedding) · 49%From Materials Simulation to Experimental Astronomy, New NVIDIA AI Software Unlocks Scientific Discoveries →
- PossiblePossibly related (embedding) · 45%How NVIDIA’s Inference Software Stack Powers the Lowest Token Cost →
- PossiblePossibly related (embedding) · 52%Alternative(s) to run CUDA on non-Nvidia hardware →
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newsFrom Materials Simulation to Experimental Astronomy, New NVIDIA AI Software Unlocks Scientific DiscoveriesnewsHow NVIDIA’s Inference Software Stack Powers the Lowest Token CostpaperGPU Parallelization Strategies for Forward and Backward Propagation in Shallow Neural Networks: A CUDA-Based Comparative StudynewsAlternative(s) to run CUDA on non-Nvidia hardware