NVIDIA Cloud Functions (NVCF)
…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…
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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. 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 BlogDevelop Native Multimodal Agents with Qwen3.5 VLM Using NVIDIA GPU-Accelerated Endpoints | NVIDIA Technical Blog
…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…
NVIDIA JetPack Software Stack
…Built on Linux Kernel 6.8 and Ubuntu 24.04 LTS, and designed with a modular, cloud-native architecture, it integrates the latest NVIDIA AI compute stack and seamlessly integrates with NVIDIA…
Chat With Your Enterprise Data Through Open-Source AI-Q NVIDIA Blueprint | NVIDIA Technical Blog
…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…
Running Large-Scale GPU Workloads on Kubernetes with Slurm | NVIDIA Technical Blog
…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…
NVIDIA ALCHEMI for AI in Chemistry & Materials
…A collection of GPU-accelerated simulation building blocks, including geometry optimizers, integrators, and data structures, to enable large-scale, batched simulations with AI ALCHEMI Toolkit-Ops: A repository of GPU-accelerated, batched…
Stream High-Fidelity Spatial Computing Content to Any Device with NVIDIA CloudXR 6.0 | NVIDIA Technical Blog
…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…
Accelerating Long-Context Model Training in JAX and XLA | NVIDIA Technical Blog
…Xu and Arnav Goel Discuss (0) Discuss (0) L T F R E AI-Generated Summary Like Dislike Integrating NVSHMEM with the XLA compiler and JAX enables efficient training of Llama 3…
Accelerating AI-Powered Chemistry and Materials Science Simulations with NVIDIA ALCHEMI Toolkit-Ops | NVIDIA Technical Blog
…NVIDIA ALCHEMI delivers capabilities across three integrated layers: ALCHEMI Toolkit-Ops : A repository of GPU-accelerated, batched common operations for AI-enabled atomistic simulation tasks, such as neighbor list construction, DFT-D3…
MiniMax M2.7 Advances Scalable Agentic Workflows on NVIDIA Platforms for Complex AI Applications | NVIDIA Technical Blog
…integration of MiniMax M2.7. To get started, check out the MiniMax M2.7 page on Hugging Face or on build.nvidia.com . Discuss (0) Discuss (0) Tags Agentic AI / Generative AI…