NVIDIA HPC Application Performance
…cuda] NRF stmv_nve_cuda yes 1x 7x 15x RTM Geoscience Reverse time migration (RTM) modeling is a critical component in the seismic processing workflow of oil and gas exploration VERSION nvidia…
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NVIDIA CUDA
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What Is CUDA?
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 CUDAWhat’s CUDA All About Anyway?
Learn about the CUDA ecosystem that helps developers solve real-world challenges.
NVIDIA CUDATop stories
Deploy Agentic-Ready AI at the Edge with Memory Efficiency in NVIDIA JetPack 7.2 | NVIDIA Technical Blog
5d agoNVIDIA CUDA Tile로 C++에서 고성능 GPU 커널 개발하기
1w agoDevelop High-Performance GPU Kernels in C++ with NVIDIA CUDA Tile | NVIDIA Technical Blog
1w agoNVIDIA CUDA 13.3 Enhances GPU Development with Tile Programming in C++, Compiler Autotuning, and Python Updates | NVIDIA Technical Blog
1w agoNVIDIA JetPack Software Stack
…CUDA The NVIDIA® CUDA® Toolkit provides a powerful development environment for creating GPU-accelerated applications, including a compiler, math libraries, and debugging tools. cuDNN The NVIDIA cuDNN (CUDA Deep Neural Network) library…
Accelerating Vision AI Pipelines with Batch Mode VC-6 and NVIDIA Nsight | NVIDIA Technical Blog
…As NVIDIA Nsight Systems and NVIDIA Nsight Compute allow developers to identify system- and kernel-level constraints, they were leveraged to redesign the VC-6 CUDA implementation for batch throughput. The result…
NVIDIA CompileIQ
…Includes compiler tuning scripts and reference implementations for NVIDIA® CUDA® C++, NVIDIA Triton, and Helion kernels. CUDA Programming Guide Learn how to use the --apply-controls flag introduced in CUDA Toolkit 13…
Nsight Compute 2026.2 - New Features
…250). For more details, refer to ERR_NVGPU . NVIDIA Nsight Compute Updated the overall layout to pin several tool windows by default. Improved CUDA Tile support on the Source page. Added a…
Accelerating AI-Powered Chemistry and Materials Science Simulations with NVIDIA ALCHEMI Toolkit-Ops | NVIDIA Technical Blog
…Linux (primary), Windows (WSL2), macOS NVIDIA GPU (A100 or newer recommended), CUDA compute capability ≥ 8.0 CUDA Toolkit 12+, NVIDIA driver 570.xx.xx+ Installation To install ALCHEMI Toolkit-Ops, use the…
Automating GPU Kernel Translation with AI Agents: cuTile Python to cuTile.jl | NVIDIA Technical Blog
…Julia 1.12+ and NVIDIA CUDA 13.1+ driver NVIDIA Ampere, NVIDIA Ada, or NVIDIA Blackwell GPU (compute capability 8.x, 10.x, 11.x, 12.x) An LLM agent with file…
Optimizing Communication for Mixture-of-Experts Training with Hybrid Expert Parallel | NVIDIA Technical Blog
…Tong Liu Tong Liu is a DevTech engineer at NVIDIA, specializing in optimizing Mixture-of-Experts (MoE) large language model training and CUDA kernel development. He has contributed to key features in…
AI Infrastructure for Autonomous Vehicles
…Training and Optimizations NVIDIA offers Docker containers for your preferred deep learning framework through the NGC catalog . GPU Acceleration Enable GPU acceleration using NVIDIA CUDA ® Toolkit and NVIDIA CUDA Deep Neural Network…
NVIDIA Aerial
…It includes a runtime for executing the pipelines on NVIDIA Aerial™ RAN computer platforms. NVIDIA Aerial CUDA-Accelerated RAN NVIDIA CUDA libraries for layer 1 (L1) and layer 2 (L2) RAN, to…