Bringing AI Closer to the Edge and On-Device with Gemma 4 | NVIDIA Technical Blog
Agentic AI / Generative AI Bringing AI Closer to the Edge and On-Device with Gemma 4 Apr 02, 2026 By Anu Srivastava Discuss (0) Discuss (0) L T F R E AI…
With JetPack 7.2, Jetson is NemoClaw-ready out of the box. JetPack 7.2 comes preconfigured with the required dependencies and software stack, so you can deploy and run NemoClaw-based workflows on Jetson without manual environment setup. This enables you to easily build agentic physical AI applications across robotics, industrial automation, vision agents, and edge AI systems. To install NemoClaw on a Jetson device running JetPack 7.2, run the following single command: curl -fsSL nvidia.com/nemoclaw.sh | bash
Deploy Agentic-Ready AI at the Edge with Memory Efficiency in NVIDIA JetPack 7.2 | NVIDIA Technical BlogDOCA Vault is a data security framework purpose-built for file-based, AI-native storage, enabling real-time control over how data is accessed across the AI factory. DOCA Vault enforces granular authorization policies directly in silicon, independent of the host operating system and storage platform. This enables a zero-trust access layer for file-based storage, ensuring that only authorized AI workload processes—including agents, training jobs, inference services, and AI applications—can access the specific data required for operation and only with explicitly permitted actions. Unlike traditi
Advancing AI Infrastructure for Agentic AI with NVIDIA DOCA In-Silicon Security | NVIDIA Technical BlogDOCA Argus is the runtime threat detection microservice that provides real-time visibility and situational awareness across the AI factory. Argus is the foundation of the DOCA security stack. Running on BlueField data and storage processors, DOCA Argus continuously observes workload behavior at runtime using advanced memory analysis, enabling organizations to detect threats, monitor integrity, and understand operational state without impacting AI workload performance. Unlike traditional host-based security approaches, DOCA Argus operates independently from the compute node it protects. By leve
Advancing AI Infrastructure for Agentic AI with NVIDIA DOCA In-Silicon Security | NVIDIA Technical BlogPurpose-built for AI infrastructure, NVIDIA BlueField DPUs combine high-performance networking, programmable compute, hardware acceleration, and advanced security capabilities into a single platform embedded into every AI factory compute node. Unlike traditional security approaches that rely on host system software, BlueField establishes a hardware-enforced, in-silicon, and workload-independent security layer. Operating within its own trusted execution domain, BlueField isolates infrastructure and security services from the host system. Monitoring, policy enforcement, and telemetry operate eve
Advancing AI Infrastructure for Agentic AI with NVIDIA DOCA In-Silicon Security | NVIDIA Technical BlogAgentic AI / Generative AI Bringing AI Closer to the Edge and On-Device with Gemma 4 Apr 02, 2026 By Anu Srivastava Discuss (0) Discuss (0) L T F R E AI…
…a product leader on NVIDIA's Enterprise AI Agents team, bringing deep experience in platform strategy and distributed systems to help enterprises deploy agentic AI at scale. Previously, he led cloud infrastructure…
…with agent context files, OSMO turns your AI coding agent into a physical AI platform expert with full situational awareness over your development environment. Beyond just submitting jobs, your coding agent can…
…The NVIDIA Vera Rubin platform enables organizations to scale every phase of AI, from pretraining, to post-training and test-time-scaling, to real-time agentic inference. The platform organizes AI infrastructure…
…Discuss (0) Discuss (0) Tags Agentic AI / Generative AI | General | Blueprint | NeMo | NIM | Beginner Technical | News | Agent toolkit | AI Agent | AI Data Platform | AI-Ready Data | featured | GTC Paris 2025 | LLMs | Retrieval…
…With secure agent sandboxing, faster inference, multi-GPU scaling, and a maturing Windows AI platform, developers building on the over 100 million NVIDIA RTX PCs worldwide have the infrastructure to ship the…
…System efficiency Beyond performance, agentic AI places increasing pressure on infrastructure efficiency. As AI factories scale to thousands of CPUs, memory power can become a major contributor to platform power, cooling demand…
…What are NVIDIA agent skills? NVIDIA agent skills are portable instruction sets that teach AI agents how to use NVIDIA CUDA-X libraries, AI Blueprints, and platform tools correctly. NVIDIA-verified skills…
…to agentic tasks. Vera platforms and configurations In addition to the Vera CPU rack, NVIDIA has engineered a complete family of Vera-based platforms for the diverse workloads of modern AI factories…
…NVIDIA Vera Rubin Opens Agentic AI Frontier Tech Blog: Inside the NVIDIA Rubin Platform: Six New Chips, One AI Supercomputer Tech Blog: NVIDIA Vera Rubin POD: Seven Chips, Five Rack-Scale Systems…