Jetson Thor
NVIDIA Jetson Thor is a system-on-module and developer kit designed for edge AI and robotics applications. It integrates a Blackwell GPU architecture with 2560 CUDA cores, 14 Arm Neoverse V3AE CPUs, and 128 GB of LPDDR5X memory, delivering up to 2070 FP4 TFLOPS of AI compute within a 40 to 130 watt power envelope. This performance level supports demanding generative AI models and complex robotic systems. Compared to its predecessor, the Jetson AGX Orin, Jetson Thor offers a 7.5 times increase in AI performance and 3.5 times better energy efficiency. The module supports advanced video processing capabilities, including decoding up to ten 4Kp60 streams or four 8Kp30 streams, and encoding up to six 4Kp60 streams in H.265/H.264 formats. It also supports multiple video codecs such as AV1, VP9, VP8, MPEG-2, and MPEG-4. Display output capabilities include driving up to four independent displays via HDMI 2.1 and DisplayPort 1.4a, with support for 8K resolution at 7680×4320 pixels at 30Hz. The form factor measures approximately 87 by 100 millimeters and uses a 699-pin board-to-board connector.
Jetson Thor is an NVIDIA system-on-module delivering up to 2070 FP4 TFLOPS AI compute for edge AI and robotics with enhanced video and display support.
Generative AI Model Deployment
Running large-scale generative AI models at the edge requiring high compute and memory resources.
Complex Robotics Systems
Powering humanoid robots and advanced robotics applications that demand real-time AI processing and multi-camera video input.
Multi-Camera Video Analytics
Processing multiple high-resolution video streams simultaneously for surveillance or autonomous machine vision.