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…His work centers on optimized, reliable AI inference for safety-critical robotics and automotive edge systems. Before joining NVIDIA in 2018, Michael created and led several floating-point-focused verification tools at…
…Generative AI can accelerate that work – compressing tasks... 11 MIN READ Mar 24, 2026 Building NVIDIA Nemotron 3 Agents for Reasoning, Multimodal RAG, Voice, and Safety Agentic AI is an ecosystem where…
…strategy for foundation models and generative AI safety. Previously, he held product management and marketing roles for over a decade, building and launching HPC/AI, data center, and cloud products at leading…
…NVIDIA is committed to open models such as Step 3.7 Flash that promote AI transparency and enable users to share their AI safety and resilience work. To get started, check out…
…From perception to action Vision AI workloads move far more data than text-based services, often generating terabits per second of concurrent video traffic at city scale. To make that practical, AI…
…10 MIN READ Mar 24, 2026 Building NVIDIA Nemotron 3 Agents for Reasoning, Multimodal RAG, Voice, and Safety Agentic AI is an ecosystem where specialized models work together to handle planning, reasoning…