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… Aggregation batch size determines the number of VLM outputs that will be combined in a single LLM request: \ \text{Video Chunks} = \frac{\text{Video Length}}{\text{Chunk Size}}\ \ \text{VLM Calls} = \text{Number of Video Chunks}\ \ \text{LLM Calls} = \frac{\text{Number of Video Chunks}}{\text{Aggre… …
… Learn About VSS Building AI Agents With Multimodal Models Try VSS Now Learn About SVD Learn About Nemotron Content Creation and Enhancement AI for Media enhances content creation workflows by improving audio, video, and visual effects with GPU-accelerated AI. …
… Each batch must contain frames from a single stream only. 3. VLM Backend: Implement a module that receives a batch of decoded video frames and returns a text summary from the multi-modal VLM. 4. Kafka Output: Send each text summary to a remote server using Kafka. …
… This combination provides more accurate, context-aware insights for enterprise AI applications. What are NVIDIA AI Blueprints? NVIDIA AI Blueprints are customizable reference workflows for building generative AI pipelines. Developers can use NVIDIA AI Blueprints to build multimodal RAG pipelines. …
… Reasoning Vision Language Model Generate reasoning traces and customize reasoning VLMs with SFT and PEFT technique for deeper, domain-specific scene and context understanding. …
… Butlr’s designed its AI solutions to collaborate with, rather than replace, elder care aides. The model can detect if a patient has fallen down, or remained in bed for too long, and automatically alerts caregivers if it identifies an emergency. …
… Retaining context: Capturing and maintaining systems’ relevant context over time for videos is challenging. Integration complexity: Building a seamless user experience requires integrating multiple AI technologies. …
… Cosmos Predict takes input in the form of text, images, or videos and generates future frames that are coherent and physically accurate. This accelerates SDG for post-training AI models to perform complex physical tasks. Let’s see some examples of post-training. …
… General fine-tuning enhances language grounding and multimodal perception using diverse video-text datasets, while more training on physical AI data sharpens the model’s ability to reason about real-world interactions. …
Agentic AI / Generative AI Building NVIDIA Nemotron 3 Agents for Reasoning, Multimodal RAG, Voice, and Safety Mar 24, 2026 By Chintan Patel , Maryam Motamedi , Chris Alexiuk , Moon Chung and Isabel Hulseman Discuss 0 Discuss 0 L T F R E AI-Generated Summary Like Dislike At GTC 2026, NVIDIA introduc… …