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CUDA is NVIDIA's platform for accelerated computing, providing the software layer that enables applications to harness the power of GPUs. Developers can program in languages such as C++, Python, and Fortran or leverage GPU-accelerated libraries and frameworks like PyTorch. This flexibility lets developers integrate GPU computing into any layer of their software stack to achieve optimal functionality and performance.The CUDA Toolkit, an integral component of the CUDA platform, provides the compiler, libraries, and developer tools required to develop GPU applications.
NVIDIA CUDALearn about the CUDA ecosystem that helps developers solve real-world challenges.
NVIDIA CUDA…To learn more, see Boost GPU Memory Performance with No Code Changes Using NVIDIA CUDA MPS . Discuss (0) Discuss (0) Tags Agentic AI / Generative AI | Data Center / Cloud | Simulation / Modeling / Design | General…
…It is part of the CUDA-X collection of highly optimized, domain-specific libraries built on CUDA®. Documentation NVIDIA Aerial Resource Center (ARC-OTA) NVIDIA Product NVIDIA AI Aerial™ is a suite…
NVIDIA cuEST NVIDIA CUDA® Electronic Structure Theory (cuEST, currently in beta) is a CUDA-X™ library designed to accelerate first-principles quantum chemistry applications on NVIDIA GPUs. Purpose‑built for industrial‑scale…
…System and package requirements Python ≥3.11, <3.14 PyTorch ≥2.8 CUDA Toolkit 12+, NVIDIA driver 470.57.02+ Operating System: Linux (primary), macOS NVIDIA GPU (RTX 20xx or newer), CUDA…
…Partitioning strategies We evaluated two primary strategies for GPU partitioning supported by the NVIDIA GPU Operator. Software-based partitioning: Time-slicing and MPS Time-slicing enables multiple NVIDIA CUDA processes to share…
…Downloads Download DriveOS SDK, NVIDIA's reference operating system and associated software stack, including NVIDIA DriveWorks, CUDA, cuDNN and TensorRT. Support Ask questions and get answers in our developer forum.
…Previously, Anshuman spent nine years leading product management for the NVIDIA CUDA platform, playing a key role in shaping CUDA and distributed computing initiatives, building the team from the ground up and…
…Downloads Download DriveOS SDK, NVIDIA's reference operating system and associated software stack, including NVIDIA DriveWorks, CUDA, cuDNN and TensorRT. Support Ask questions and get answers in our developer forum.
…Compilers HPC SDK Clang Libraries NVIDIA Performance Libraries (NVPL) CUDA Tools NVIDIA Developer Tools NVIDIA Nsight™ Systems NVIDIA Developer Tools Performance Tuning Guides These guides for end users and application developers include…
모델 양자화는 NVIDIA GeForce RTX GPU와 같은 컨슈머 디바이스에서 VRAM 사용량을 줄이고 추론 성능을 끌어올리는 효과적인 기법입니다. 모델 품질을 유지하면서 연산·메모리 요구량을 낮추므로, AI 모델이 리소스가 제한된 환경에서도 더 효율적으로 동작하도록…