NVIDIA 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…
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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.
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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…
…The NVIDIA Blackwell stack offers a range of technologies specifically designed for models such as V4, including NVFP4 , Dynamo, Optimized CUDA Kernels, advanced parallelization techniques, and more. What's key to DeepSeek…
News Jun 1, 2026 by Nick Farrell TSMC taps Nvidia AI to speed up next-gen chipmaking TSMC is using Nvidia’s CUDA-X and AI tools to speed up advanced chip…
…The GeForce RTX 5060 (GB206) is NVIDIA's second least expensive Blackwell graphics card with an MSRP of $299. It features 3,840 CUDA cores, 120 texture mapping units (TMUs), 48 raster…
NVIDIA releases CUDA-Oxide 0.1 for experimental Rust-to-CUDA compiler
NVIDIA releases CUDA-Oxide 0.1 for experimental Rust-to-CUDA compiler
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NVIDIA RTX Spark reinvents Windows PCs for the era of personal AI agents, offering a new class of computer that moves from tool to teammate. Designed for AI, creating and gaming, RTX Spark brings together 30 years of NVI…
I'm a big fan of on-device AI inference for a million reasons, especially its potential to significantly reduce or even potentially eliminate the need for massive AI data center projects in the United States. But so far,…
…In addition to being equipped with secure sandboxes (jointly developed with Microsoft) to run agents securely, the PCs will also have enough CPU, GPU, RAM, and underlying Nvidia CUDA software to run…
…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…
…This is part of the ambitious effort to allow NVIDIA CUDA and AMD HIP code to ultimately run on alternative vendors with increasing levels of success. The new release is chipStar 1…
…The AMI inherits the operating system, NVIDIA GPU drivers, CUDA toolkit, EFA drivers, and Lustre client from the source Deep Learning Base GPU AMI, and adds PCS Agent, Slurm for PCS, and…
…With NVIDIA CUDA Core Compute Libraries (CCCL) 3.1, CUB—a low-level CUDA library for speed-of-light parallel device algorithms —added a new single-phase API that accepts an execution…
…NVIDIA Releases CUDA-Oxide 0.1 For Experimental Rust-To-CUDA Compiler NVIDIA Looking To Create New Tool For Generating AutoFDO Profiles For GCC NVIDIA Ships Fixes For Descriptor Heaps, More Vulkan…