NVIDIA CCCL을 활용한 부동 소수점 결정론 제어 기법
…NVIDIA CUDA Core Compute Libraries (CCCL) 3.1 버전부터는 속도 최적화 병렬 디바이스 알고리즘을 위한 저수준 CUDA 라이브러리인 CUB 에 새로운 단일 단계가 추가되었습니다. 이 API는 실행 환경 설정을 지원하여 사용자가 알고리즘의…
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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
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6d agoNVIDIA Isaac Platform
NVIDIA Isaac Ready to jump-start your AI robot development? NVIDIA Isaac™ is the ideal place to start. This open robotics development platform consists of simulation and robot learning frameworks, NVIDIA® CUDA…
Achieving Single-Digit Microsecond Latency Inference for Capital Markets | NVIDIA Technical Blog
…NVIDIA open source LSTM CUDA kernels dl-lowlat-infer is an open source repository that provides examples of CUDA kernels for implementing low-latency time series inference. The techniques used in the…
DriveWorks SDK
…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.
NVIDIA cuEquivariance
NVIDIA cuEquivariance cuEquivariance is a CUDA-X™ library specifically designed to tackle the demanding computational requirements of geometry-aware neural networks, which are essential for tasks involving 3D data. cuEquivariance provides optimized…
NVIDIA DRIVE Documentation
…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.
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…
Telco Industry: Find SDKs & Technical Resources
Get Started With Telecommunications Use Cases Deploy AI-Native 5G and 6G Networks With Accelerated RAN Developers can use NVIDIA AI Aerial™ libraries to build a software-defined, CUDA®-accelerated radio access…
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…