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 BlogAgentic AI / Generative AI Run Step 3.7 Flash on NVIDIA GPUs with Enterprise-Ready Multimodal AI May 28, 2026 By Anu Srivastava Discuss (0) Discuss (0) L T F R E…
…Integrating AIConfigurator in the AI Serving Stack for automated deployments The AI Serving Stack , built on the Alibaba Container Service for Kubernetes (ACK), is an end-to-end solution for efficient and…
…AI Blueprint for video search and summarization (VSS) has reached general availability, introducing features like multi-live stream processing, burst mode ingestion, customizable computer vision pipeline, and audio transcription. The VSS integrates…
…DriveOS also supports autonomous driving and AI-powered cockpit experiences. DriveOS enables Linux or QNX as the application operating system with a software development kit for image processing, diverse sensor integration, AI…
…the integration of the NVIDIA cuEquivariance library and NVIDIA TensorRT SDK . These modular libraries and SDKs can be leveraged to accelerate operations common in protein structure AI and general inference AI workloads…
Developer Tools & Techniques Build Next-Gen Physical AI with Edge‑First LLMs for Autonomous Vehicles and Robotics NVIDIA TensorRT Edge‑LLM introduces support for MoEs, Cosmos Reason 2, and Qwen3-TTS/ASR…
…Advanced AI-driven methods like Openfold3 combined with the RTX PRO 4500 Blackwell enhance protein structure prediction with up to 2.4x speedups, while new GPU hardware features accelerate Smith-Waterman alignment…
…Scaleable AV Platform Up to 2,000 FP4 (1,000 INT8) TFOPS for multiple concurrent AI inference pipelines Built on production, auto-grade silicon Architected for safety and security Streamlines software development…
Agentic AI / Generative AI Deploy Long-Context Reasoning and Agentic Workflows with MiniMax M3 on NVIDIA Accelerated Infrastructure Jun 12, 2026 By Anu Srivastava Discuss (0) Discuss (0) L T F R…
…Omniverse Developer Discord でフィードバックを共有し、他の開発者と協力して、エンタープライズ対応のフィジカル AI の未来を形作るのに貢献しましょう。 翻訳に関する免責事項 この記事は、「 Integrate Physical AI Capabilities into Existing Apps with NVIDIA Omniverse Libraries 」の抄訳で、お客様の利便性のために機械翻訳によって翻訳されたものです。NVIDIA では、翻訳の正確さを期すために注意を払っておりますが、翻訳の正確性については保証いたしません。翻訳された記事の内容の正確性に関して疑問が生じた場合は、原典である英語の記事を参照してください。 Tags Content Creation…