NVIDIA AI Blueprints are customizable reference workflows for building generative AI pipelines. Developers can use NVIDIA AI Blueprints to build multimodal RAG pipelines. The RAG Blueprint is built on NVIDIA NeMo Retriever models for continuously indexing multimodal documents for fast and accurate semantic search at enterprise scale. The VSS Blueprint ingests massive volumes of streaming or archival video for search, summarization, interactive Q&A, and event-trigger actions such as alerting.
Make Sense of Video Analytics by Integrating NVIDIA AI Blueprints | NVIDIA Technical Blog…efficient closed-loop simulation, flexible integration of user-defined policies, and high-throughput evaluation of end-to-end AV models using NVIDIA's datasets and models. AI-generated content may summarize information…
…to provide flexible integration between Holoscan applications and other applications (using Holoscan or not). View Reference Application: Video Streaming Read Quick-Start Guide Go to GitHub Repo Multi-AI AR-Assisted Surgery…
…reproduce our results with Hugging Face datasets VC-6 AI Blueprint Demo showcasing VC-6 selective decoding in vision AI pipelines Reference integration patterns for multiple use cases Discuss (0) Discuss (0…
…the first open AI model family designed for quantum processor calibration and error correction decoding, providing base models, training frameworks, and deployment workflows for scalable and customizable integration with quantum processing units…
…NVIDIA Frameworks JetPack also integrates with NVIDIA Holoscan for real-time multimodal sensor processing, NVIDIA Metropolis VSS for video analytics and vision AI, and NVIDIA Isaac robotics technologies, including GR00T N-series…
…an integral part of the team that developed the Clara-Train SDK and AIAA (Artificial Intelligence Assisted Annotation), which has since been integrated into MONAI (Medical Open Network for AI). Yuan-Ting…
NVIDIA Warp NVIDIA Warp is a purpose-built open source Python framework that delivers GPU acceleration for computational physics, AI, and optimization workflows. How NVIDIA Warp Works Supercharging Physics Simulation NVIDIA Warp…
…GPUs without manual Subnet Manager (SM) configuration. With the exponential growth of AI, HPC, and hyperscale cloud computing, the integrity of the network fabric is more critical than ever, yet many networks…
…Prior to joining NVIDIA, Makan led the Low Power AI and Audio/Voice AI software stack at Qulacomm, driving over 100 design wins and helping establish Qualcomm's Low Power AI software…
…Get started with NVIDIA Isaac libraries and AI models for developing physical AI systems. Watch the NVIDIA GTC 2026 keynote with NVIDIA founder and CEO Jensen Huang and explore more physical AI…