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…Out-of-the-box support for CUDA graphs, providing significant performance speedup for applications and benchmarks on Windows Enabled reliable CUDA graph capture by providing user control over runtime allocations, and query…
…This gives your application full control over when and how streaming runs. Server prerequisites NVIDIA RTX GPU (RTX 6000 Ada Generation or higher recommended) Windows 11 (64-bit) or Ubuntu 22.04…
…With up to 96 GB of VRAM per GPU and support for multitenant environments, NVIDIA RTX PRO Server can support artists, developers, AI researchers, and QA on shared infrastructure, helping standardize environments…
…algorithms for developers to control reproducibility across a wider range of parallel CUDA primitives. For updates and discussion, see the ongoing GitHub issue on expanded determinism support, to follow our roadmap, and…
…Runtime control through debug options XLA exposes a runtime flag for dynamic control: XLA_FLAGS="--xla_gpu_experimental_enable_nvshmem=true" This flag is defined in xla/debug_options_flags.cc and…
…quality and support a broad range of I/Os including MIPI CSI-2, GMSL, Ethernet, USB, HDMI, PCIe, and more. Are all Jetson modules compatible? All Jetson modules are software compatible, and…
…practices of websites, products and services controlled by other companies or organizations. Without limiting the foregoing, NVIDIA may indicate how to obtain third-party software, datasets, or other content and you are…
…and cost control. Sarvam AI , a generative AI startup based in Bengaluru, India, set out to build large, multilingual, multimodal foundation models that serve its country’s diverse population, support nearly two…
…NVIDIA partners have demonstrated integration of this agentic workflow within a wide range of calibration and control software stacks, and through popular coding agents, like Coda, Cursor, or Claude Code. Learn more…
…NVIDIA offers a range of tools, including NVIDIA NeMo and NVIDIA Nemotron models, to support the development of heterogeneous AI systems that combine SLMs and LLMs, enabling enterprises to improve efficiency, reduce…