Menu

1 / 5

Deploy Agentic-Ready AI at the Edge with Memory Efficiency in NVIDIA JetPack 7.2

NVIDIA Technical Blog·Peilun Tsai·2 days ago
#LqhDUtrs
#developer#jetson#nvidia#jetpack#skills
Reading 0:00
15s threshold

As AI agents move from the digital world to the physical environment, they can readily use NVIDIA Jetson to accelerate real-world deployment with optimized memory and performance.

NVIDIA JetPack 7.2 directly supports one-command deployment of NVIDIA NemoClaw , an open source stack that adds privacy and security controls to OpenClaw. It introduces NVIDIA agent skills for Jetson— Jetson device-side skills and Jetson BSP skills —and extends the latest compute stack and agentic capabilities to NVIDIA Jetson Orin . The Jetson software-defined platform makes this possible: the same hardware continues to deliver more value with every software release.

This post introduces new JetPack 7.2 release features and capabilities, which also include:

NVIDIA Multi-Instance GPU (MIG) support on NVIDIA Jetson Thor for deterministic multiworkload execution

Official Yocto Project support for custom Linux distributions that can further improve system efficiency

Super Mode for Jetson AGX Orin 32 GB for higher AI performance…

Continue reading — create a free account

Join HashtagPLUS to read full articles, follow hashtags, vote, and join the conversation.