NVIDIA Introduces New Jetson Thor Computers to Advance Mainstream Robotics and Edge AI
NVIDIA Chen Su
NVIDIA introduced the Jetson T3000 and T2000 modules based on its Thor architecture to enable robotics and edge AI applications, with the T3000 delivering 865 FP4 teraflops of compute in a compact form factor half the size of the T5000. The T3000 combines a Blackwell GPU with 32GB memory and 273GB/s bandwidth, while the T2000 offers 400 FP4 teraflops with 16GB memory, available in Q1 2027. Companies like Boston Dynamics and Amazon Robotics can now deploy foundation models on robots more efficiently, with customers like Agile Robots achieving up to 15GB memory savings through software optimization.
Why it matters
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. 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 […]
