{"product_id":"nvidia-jetson-thor","title":"NVIDIA Jetson Thor Edge AI Computer, 128 GB LPDDR5X, 2070-TFLOPS Blackwell GPU, 40-130 W Power for Humanoid \u0026 AMR Robots","description":"\u003ch1 style=\"text-align: center;\"\u003e\n\u003cb\u003e\u003cspan data-font-family=\"default\"\u003e\u003c\/span\u003e\u003c\/b\u003eNVIDIA Jetson Thor Edge AI Computer, 128 GB LPDDR5X, 2070-TFLOPS Blackwell GPU, 40-130 W Power for Humanoid \u0026amp; AMR Robots\u003cb\u003e\u003cspan data-font-family=\"default\"\u003e\u003c\/span\u003e\u003c\/b\u003e\n\u003c\/h1\u003e\n\u003chr\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 18px;\"\u003eQuick Start: \u003cspan style=\"color: #3598db;\"\u003e\u003ca href=\"https:\/\/docs.nvidia.com\/jetson\/agx-thor-devkit\/user-guide\/latest\/index.html\" target=\"_blank\" rel=\"noopener\" style=\"color: #3598db;\"\u003edocs.nvidia.com\u003c\/a\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 18px;\"\u003eTips\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\n\u003cb\u003e\u003cspan data-font-family=\"default\"\u003e\u003cbr\u003eIntroduction\u003c\/span\u003e\u003c\/b\u003e\u003cb\u003e\u003cspan data-font-family=\"default\"\u003e \u003c\/span\u003e\u003c\/b\u003e\n\u003c\/h2\u003e\n\u003chr\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\" style=\"font-size: 18px;\"\u003e\u003cspan\u003eMeet NVIDIA Jetson Thor—the first “physical-AI” edge computer built for humanoid robots, AMRs, industrial vision gateways and medical instruments. A 2070-TFLOPS Blackwell GPU, 128 GB LPDDR5X and 14-core Arm Neoverse-V3AE deliver up to 7.5× the AI performance of Jetson AGX Orin while drawing only 40-130 W. Run multi-modal transformer pipelines locally, cut cloud costs and guarantee \u0026lt;40 ms closed-loop control. JetPack 7, TensorRT 10 and pre-trained vision-language-action models get you coding in hours, not weeks.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003e\n\u003cb\u003e\u003cspan data-font-family=\"default\"\u003e\u003cbr\u003eFeatures\u003c\/span\u003e\u003c\/b\u003e\u003cb\u003e\u003cspan data-font-family=\"default\"\u003e \u003c\/span\u003e\u003c\/b\u003e\n\u003c\/h2\u003e\n\u003chr\u003e\n\u003cdiv class=\"paragraph\"\u003e\u003cspan style=\"font-size: 18px;\"\u003e[Ultra-Performance AI] 2070-TFLOPS FP4 Blackwell GPU + 96 Tensor Cores let Jetson Thor run LLM, VLM \u0026amp; VLA models on-device; latency \u0026lt;40 ms, no cloud fees.\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv class=\"paragraph\"\u003e\u003cspan style=\"font-size: 18px;\"\u003e[Expandable Memory] 128 GB LPDDR5X 273 GB\/s and 1 TB NVMe give engineers room for 70-B-parameter models, 4-K video buffers and ROS 2 stacks.\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv class=\"paragraph\"\u003e\u003cspan style=\"font-size: 18px;\"\u003e[Scalable Power] 40-130 W dynamic budget—run fanless on AMRs or unlock 130 W for dual-arm cobot control; carrier board included.\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv class=\"paragraph\"\u003e\u003cspan style=\"font-size: 18px;\"\u003e[Rich I\/O] PCIe Gen4 x8, 4×25 GbE, USB-C, MIPI CSI\/DSI, QSFP, CAN—hook lidar, stereo cams, 5G or GMSL in minutes.\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv class=\"paragraph\"\u003e\u003cspan style=\"font-size: 18px;\"\u003e[Production Ready] Same T5000 module in dev kit; seamless path from lab to field, supported by NVIDIA JetPack 7, Metropolis \u0026amp; Holoscan SDKs.\u003c\/span\u003e\u003c\/div\u003e\n\u003ch2\u003e\u003cb\u003e\u003cspan data-font-family=\"default\"\u003e\u003cbr\u003eSpecification\u003c\/span\u003e\u003c\/b\u003e\u003c\/h2\u003e\n\u003chr\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 18px;\"\u003eGPU: 2560 CUDA, 96 Tensor, Blackwell | CPU: 14-core Arm Neoverse-V3AE @ 2.2 GHz | RAM: 128 GB LPDDR5X 273 GB\/s | Storage: 1 TB NVMe (expandable) | Power: 40-130 W, 12-54 V DC | Dimensions: 243×112×57 mm | I\/O: PCIe Gen4 x8, 4×25 GbE, USB-C, MIPI CSI\/DSI, QSFP, CAN, UART, I2C, SPI | OS: JetPack 7 (Linux 6.8, CUDA 13, TensorRT 10)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\" style=\"font-size: 18px;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003e\n\u003cb\u003e\u003cspan data-font-family=\"default\"\u003e\u003cbr\u003eDetailed Descriptions\u003c\/span\u003e\u003c\/b\u003e\u003cb\u003e\u003cspan data-font-family=\"default\"\u003e \u003c\/span\u003e\u003c\/b\u003e\n\u003c\/h2\u003e\n\u003chr\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\" style=\"font-size: 18px;\"\u003e\u003cimg src=\"https:\/\/docs.nvidia.com\/jetson\/agx-thor-devkit\/user-guide\/latest\/_images\/jetson-agx-thor-family-key-visual-03-v002-eb-1k.jpg\" alt=\"Jetson AGX Thor Developer Kit Key Visual\"\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":42312498937954,"sku":"YWDDPNVIDIA1","price":39164.0,"currency_code":"HKD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0652\/9443\/4402\/files\/NVIDIAThor5.png?v=1763103469","url":"https:\/\/youyeetoo.com\/products\/nvidia-jetson-thor","provider":"youyeetoo","version":"1.0","type":"link"}