…manager for the CUDA toolkit. For over 20 years he has focused on accelerating software with heterogeneous hardware platforms, and has particular interest in computer architecture and hardware/software interaction. View all…
…Documentation NVIDIA Video Codec SDK NVIDIA Product A comprehensive set of APIs including high-performance tools, samples and documentation for hardware-accelerated video encode and decode on Windows and Linux. Documentation NVIDIA…
…the latest accelerated computing hardware. NVIDIA Nsight tools for software development. Get Started Explore the latest resources to help you set up and use Nsight Developer Tools. Legacy Tools Nvprof NVIDIA Visual…
…and delivering nearly 1.9x the graphics workload acceleration over previous NVIDIA architectures. vGPU 20 introduces enhancements such as the AI Virtual Workstation Toolkit, fixed-share scheduling for heterogeneous vGPU instances, and…
…NVIDIA AI Aerial NVIDIA AI Aerial™ is a suite of accelerated computing platforms, software libraries, and tools to build, train, simulate, and deploy AI-native wireless networks. It enables developers and researchers…
…Keep reading for more highlights about the update. Accelerating agentic inference by 4x with Dynamo and NVIDIA NeMo Agent Toolkit Today’s inference runtimes treat every request and KV cache block the…
…High-radix point-to-point links LPU Compiler-scheduled data movement Hardware-driven plesiosynchronous timing Together, these technologies enable Groq 3 LPU accelerators the flexibility to scale to thousands of chips while…
…software stack, NVIDIA DriveOS with DriveWorks Suite of developer tools, including NvMedia, NvStreams, CUDA®, cuDNN, and TensorRT™ Specifications DRIVE AGX Thor Hardware Quick Start Guides: English | Traditional Chinese | Simplified Chinese Component Description…
…worlds. Building on RaySim, Keysight’s AI‑RAN Simulation Toolset enables developers to integrate the NVIDIA AI Aerial platform to create hardware testbeds and digital twins that facilitate training and benchmarking of…
…Extreme co-design across every stack layerincluding chip design, manufacturing (with tools like cuLitho and cuEST), GPU-accelerated EDA, and advanced cooling solutionsenables substantial gains in energy efficiency, lowering token cost, increasing…