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…This post describes the full-stack architecture needed to integrate the zero-trust foundation into AI factories. On-premise requirements often limit enterprises to building their own models or using open source…
…For example, VAST Data’s AI Operating System integrates with NVIDIA AI-Q to enable real-time, multimodal AI pipelines that continuously learn from enterprise data —powering groundbreaking AI solutions across industries…
…high-throughput fine-tuning, Slurm and Kubernetes multinode support, and Hugging Face integration for streamlined adaptation and optimization. AI-generated content may summarize information incompletely. Verify important information. Learn more Alibaba has…
…Key Benefits of Holoscan for Media for Developers Streamline AI Application Development in Live Media Connects AI Applications to Live Pipelines Framework integrates DeepStream and Rivermax to connect AI applications and…
NVIDIA In-Game Inferencing SDK The NVIDIA In-Game Inferencing (NVIGI) SDK offers a streamlined and high performance path to integrate locally run AI models into games and applications via in-process…
…Choose a client integration path With the server-side integration complete, choose which client SDK to integrate based on your target platform. Apple platforms (visionOS, iOS, and iPadOS) The CloudXR framework is…
…Most organizations running large-scale AI training have years of investment in Slurm job scripts, fair-share policies, and accounting workflows. The challenge is getting Slurm scheduling capabilities onto Kubernetes—the standard…
…Secure endpoints for AI infrastructure ConnectX-9 also plays a central role in securing AI factory networking. Integrated cryptographic engines support high-throughput encryption for data in motion and data at rest…
…We’re excited to announce the following integrations with leading platforms in the chemistry and materials science community. Orbital Orbital develops advanced AI foundation models used to accelerate the discovery of novel…
…It allows you to integrate your preferred monitoring tools, such as Splunk, for comprehensive insights into your AI workloads. Broad Workload Support NVCF offers flexible deployment options, whether you bring your own…