…The project builds on Julia’s existing GPU ecosystem, integrating with CUDA.jl for array management and kernel launching. Users who are already writing GPU code in Julia with CUDA.jl will…
…driven architecture with open components, enabling rapid integration with the latest NVIDIA hardware and allowing OEMs and ISVs to embed Mission Control into their ecosystems for greater agility and customization in AI…
…Cadence , Dassault Systèmes , Siemens and Synopsys are integrating NVIDIA CUDA-X , AI physics and NVIDIA Omniverse libraries, as well as NVIDIA Nemotron open models, across their software — enabling real-time, physics-grounded…
…It integrates with NVIDIA Data Center GPU Manager (DCGM) and the NVIDIA GPU Operator to collect hardware health signals, classify issues by severity, and take automated actions such as quarantining or draining…
…standalone interface, the potential to integrate these agentic capabilities directly into industry-standard, high-fidelity modeling platforms represents an exciting evolution for the subsurface digital ecosystem. Multi-agent squads: Orchestrating complex engineering…
…Router, and LangChain has built an integration that injects agentic hints for Dynamo’s Router, validating its composable architecture. Inspired contributions from across the AI ecosystem: Developers across the AI community have…
…This post shares the work NVIDIA is doing to integrate CUDA Tile as a backend for OpenAI Triton , an open source Python DSL designed to write DL kernels for GPUs. OpenAI Triton…
…GPU acceleration enables leading lithography providers and semiconductor manufacturers such as TSMC to predict and correct lithography issues before production at an unprecedented speed. Earlier this month, electronic design automation (EDA) software…
…Nsight Systems visualizes system workload metrics on a timeline and provides tools that help developers detect, understand, and solve performance issues. Profile the System The full picture of app optimization requires drilling…
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