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CUDA
CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs.
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Pytorch domain library for recommendation systems
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Open Voice OS Status Page
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A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
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A high-performance inference system for large language models, designed for production environments.
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Monte Carlo eXtreme (MCX) - GPU-accelerated photon transport simulator
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A high-throughput and memory-efficient inference and serving engine for LLMs
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FlashInfer: Kernel Library for LLM Serving
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A model-independent chemistry module for atmosphere models
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Safe rust wrapper around CUDA toolkit
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PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
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CEED Library: Code for Efficient Extensible Discretizations
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A minimal OpenCL, CUDA, Vulkan and host CPU array manipulation engine / framework.
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CUDA C++ Core Libraries
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Implementations of various simulations for integrate and fire models, as well as conductance based models with synaptic neurotransmission
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The open-source serverless GPU container runtime.
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A retargetable MLIR-based machine learning compiler and runtime toolkit.
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Created by Nvidia
Released June 23, 2007
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- developer.nvidia.com/cuda-zone
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