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 Blog…The software infrastructure needs to evolve to support this new paradigm. The Slurm topology/block plugin provides the foundation and the commitment to continue working with the Slurm community to make it…
…Employing the ControlNet architecture, Cosmos Transfer preserves pretrained knowledge, enabling structured, consistent outputs. It utilizes spatiotemporal control maps to dynamically align synthetic and real-world representations, enabling fine-grained control over scene…
…NVIDIA AI Aerial Software Explore open source software libraries and tools for building, training, simulating, and deploying AI-native wireless networks. Access to NVIDIA Aerial software is available on GitHub . Access for…
…The NVIDIA Agent Toolkit and OpenShell enable continuous agent skill development and secure deployment across scales, from individual PCs to enterprise GPU clusters, while supporting integration with coding agents like Claude Code…
…That said, this is early-stage software, and: Not all cuTile features are implemented. Some Julia language features (notably iterator-based ‘for’ loops) aren’t supported in kernels or generate inefficient code…
…Accelerate Your Startup NVIDIA Inception—an acceleration platform for AI, data science, and HPC startups—supports over 7,000 startups worldwide with go-to-market support, expertise, and technology. Startups get access…
…privacy and on-premises control. Deep agent architecture employs modular sub-agents (planner, researcher) with strict context isolation to mitigate token bloat and optimize multi-step reasoning, supporting both shallow and deep…
…CUDA Hardware Trace is now default – Hardware-based tracing is now default when supported, and fallback to software for various conflicts or unsupported situations. Use --trace=cuda-sw to force to software…
…Veras monolithic die design with adjacent dielets, uniform memory bandwidth (14 GB/s per core), and LPDDR5X SOCAMM modules support sustained high IPC, deterministic latency, and efficient rack-scale deployment, offering 4x…
…The NVIDIA DOCA framework, Spectrum-X Ethernet, and orchestration tools like NVIDIA Dynamo and NIXL coordinate context placement, KV block management, and workload scheduling across the memory hierarchy, supporting efficient, stateless sharing…