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The Jetson AGX Thor developer kit and production modules, which Nvidia launched on Monday, are computers designed to power robots across industries including manufacturing, logistics, transport, healthcare, agriculture and retail.
Built on an Nvidia Blackwell graphics processing unit (GPU) that features 128 gigabytes of memory, Jetson AGX Thor delivered up to 2,070 FP4 teraflops of AI computing power to run the latest artificial intelligence models – all within a 130-watt power envelope, the company said.
FP4, the 4-bit floating point format introduced with Nvidia’s Blackwell GPU architecture, is touted to reduce computational demand in AI training and inference. A teraflop, which represents 1 trillion floating-point operations per second, is a measure of a computer’s ability to perform complex mathematical calculations involving decimals with high precision.
“Jetson Thor brings a huge leap in computing power, enabling robots to be more agile, make decisions faster and achieve a higher level of autonomy,” said Unitree founder and CEO Wang Xingxing in Nvidia’s statement.
