…By leveraging AST-aware chunking, MCP integrations, and fine-tuned models for large codebases, the guide aims to boost developer velocity while ensuring compatibility with complex studio pipelines. To learn more, see…
…Developers can leverage cuEST by integrating it within their own quantum chemistry codes, such as within density functional theory (DFT) self-consistent field methods. Key Features of cuEST Breakthrough Acceleration Leveraging highly…
…With the IGX Thor platform, developers can build mission-critical edge computers that operate reliably in harsh physical conditions, integrate with secure and regulated infrastructures, and execute state‑of‑the‑art AI…
…Slinky , an open source project developed by SchedMD (now part of NVIDIA), takes two approaches to this integration: slurm-bridge brings Slurm scheduling to native Kubernetes workloads, allowing Slurm to act as…
…Learn more about advanced AI operations Check out the Mission Control Administrator Guide or User Guide to learn more about implementation. Watch an on-demand NVIDIA GTC 2026 session with Eli Lilly…
…NuRec libraries are integrated with NVIDIA Isaac Sim ™ for robotics testing, and NVIDIA AlpaSim and CARLA open source simulator for autonomous driving development. How Omniverse NuRec Works: Real-Time 3D Reconstruction and…
…See NVIDIA Dynamo in Action How NVIDIA Dynamo Works Models are becoming larger and more integrated into AI workflows that require interaction with multiple models. Deploying these models at scale involves distributing…
…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…
…NVIDIA collaborates with studios to enhance AI reliability in Unreal environments by integrating syntax-aware code indexing, hybrid search methods (including NVIDIA NeMo Retriever NIM), and GPU-accelerated vector search (NVIDIA cuVS…
…Developers can integrate CloudXR.js with various web frameworks and utilize provided WebGL and React sample clients for rapid prototyping, while production deployments are supported with Docker, WebSocket proxy configurations, and compatibility…