AI Agent · Nvidia · Blackwell · ARM · NVIDIA Blog
Spot a Jetson AGX Thor Developer Kit on the NVIDIA marketplace and start developing today
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General-purpose robots and autonomous machines are moving from research labs to real-world mass-market deployment, creating demand for compact, power-efficient AI supercomputers capable of running foundation models at the edge.
Key facts
- With the introduction of the new NVIDIA Jetson modules, NVIDIA now offers a scalable edge AI platform spanning performance from 70 TOPS to 2,000 teraflops, enabling developers to address virtually
- Jetson T3000 combines an NVIDIA Blackwell GPU, an eight-core Neoverse Arm CPU, 32GB of LPDDR5X memory and 273GB/s of memory bandwidth, along with 25 GbE connectivity
- ADLINK, Advantech, AAEON, Aetina, Auvidea, AVerMedia, Connect Tech, ForeCR, JWIPC, NEXCOM Robotic Solutions, Realtimes, Seeed Studio, Twowin, TZTEK and YUAN are among other partners in the Jetson
- Developers can begin using T3000 emulation mode later this month with JetPack 7.2.1
Summary
To meet that need, NVIDIA today introduced the T3000 and T2000, new modules based on the NVIDIA Thor architecture that enable mass-market robotics and edge AI applications at scale. Jetson AGX Thor is powering this next generation of humanoid and robotic systems, with growing adoption across industries. The hardware underpinning those capabilities starts with the Jetson and IGX T3000 modules, which delivers 865 FP4 teraflops of AI compute in a compact form factor roughly half the size and power of the T5000. Despite its smaller footprint, the T3000 achieves similar inference performance of the T5000 for multimodal workloads, including large language models, vision language models, vision language action models and world foundation models.