{"product_id":"n-vidia-jetson-thor-t4000-t5000-up-to-1200-2070-fp4-tflops-of-ai-compute-and-64-128-gb-of-memory-delivering-the-ultimate-platform-for-physical-ai-and-humanoid-robotics-1","title":"N-VIDIA Jetson Thor T4000 \/ T5000, Up To 1200 \/ 2070 FP4 TFLOPS Of AI Compute And 64 \/ 128 GB Of Memory, Delivering The Ultimate Platform For Physical AI And Humanoid Robotics","description":"\u003cdiv class=\"msg msg_warning\"\u003eNote: this product is a precision device; once opened, it cannot be returned or exchanged unless there is a quality issue.\u003c\/div\u003e\u003cdiv class=\"overviewSec\"\u003eN-VIDIA Jetson Thor T4000 \/ T5000, Up To 1200 \/ 2070 FP4 TFLOPS Of AI Compute And 64 \/ 128 GB Of Memory, Delivering The Ultimate Platform For Physical AI And Humanoid Robotics\u003c\/div\u003e\u003cdiv class=\"richWrap\"\u003e\n\u003cdiv class=\"pdT\" style=\"background: #212123;\"\u003e\n\u003cdiv class=\"richTitle hilitColor\"\u003eJetson Thor Series\u003c\/div\u003e\n\u003cp class=\"richDesc\" style=\"color: white;\"\u003edelivering up to 1200 \/ 2070 FP4 TFLOPS of AI compute \u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Thor-T5000\/Jetson-Thor-T5000-details-1.jpg\" alt=\"Jetson-Thor-T5000, front view\"\u003e\u003cdiv class=\"alignl\" style=\"background-color: #2c2c2c; color: white;padding:1.5em;\"\u003e\u003cp\u003eThe\u003cstrong\u003e N-VIDIA Jetson Thor\u003c\/strong\u003e  series of modules gives you the ultimate platform for physical AI and robotics, delivering up to 1200 FP4 TFLOPS \/ 2070 FP4 TFLOPS of AI compute and 64GB \/ 128 GB of memory with power configurable between 40 W and 70 W, or between 40 W and 130 W. They deliver over 7.5x higher AI compute than \u003ca href=\"https:\/\/www.waveshare.com\/jetson-agx-orin-developer-kit.htm?sku=24431\" target=\"_blank\"\u003eN-VIDIA Jetson AGX Orin\u003c\/a\u003e, with 3.5x better energy efficiency.                This system-on-module (SoM) features an N-VIDIA Blackwell architecture GPU with a Transformer engine and Multi-Instance GPU (MIG) support to effortlessly run the latest generative AI models. N-VIDIA Jetson Thor accelerates low-latency, real-time multi-sensor applications with a 12-core \/ 14-core Arm® Neoverse®-V3AE CPU, 3x \/ 4x 25 GbE networking, and extensive I\/O options for sensor fusion. It also includes a suite of accelerators, including a third-generation Programmable Vision Accelerator (PVA), dual encoders and decoders, an optical flow accelerator, and more.          Jetson Thor series supports a wide range of generative AI models, from vision language action (VLA) models like N-VIDIA Isaac™ GR00T for humanoids to all popular large language models (LLMs) and vision language models (VLMs).         To deliver a seamless cloud-to-edge experience, Jetson Thor runs the N-VIDIA AI software stack for physical AI applications, including N-VIDIA Isaac for robotics, N-VIDIA Metropolis for visual agentic AI, and N-VIDIA Holoscan for sensor processing. You can also build AI agents at the edge using N-VIDIA agentic AI workflows like Video Search and Summarization (VSS).      \u003c\/p\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\" style=\"background-color: #000000;color: white;\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #76b900;\"\u003eA Compact Powerhouse for Advanced AI and Robotics\u003c\/div\u003e\n\u003cp class=\"richDesc alignl\" style=\"padding: 0 1.5em;\"\u003eN-VIDIA Jetson Thor series modules give you the ultimate platform for physical AI and robotics, delivering up to 1200 FP4 TFLOPS \/ 2070 FP4 TFLOPS of AI compute and 64GB \/ 128 GB of memory with power configurable between 40 W and 70 W, or between 40 W and 130 W. They deliver higher AI compute than \u003ca href=\"https:\/\/www.waveshare.com\/jetson-agx-orin-developer-kit.htm?sku=24431\" target=\"_blank\"\u003eN-VIDIA Jetson AGX Orin\u003c\/a\u003e.\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Thor-T5000\/Jetson-Thor-T5000-details-3.jpg\" alt=\"Jetson-Thor-T5000, A Compact Powerhouse for Advanced AI and Robotics\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\" style=\"background-color: #fafafa;\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #76b900;\"\u003eBenefits\u003c\/div\u003e\n\u003cp class=\"richDesc\"\u003eBlackwell GPU, sensor processing, and robotic AI software stack\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Thor-T5000\/Jetson-Thor-T5000-details-5.jpg\" alt=\"Jetson-Thor-T5000, Blackwell architecture GPUs, sensor processing, and robotic AI software stack.\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #76b900;\"\u003eWorkloads\u003c\/div\u003e\n\u003cp class=\"richDesc\"\u003eUnlock Physical AI with the Power of Jetson Thor\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Thor-T5000\/Jetson-Thor-T5000-details-7.jpg\" alt=\"Jetson-Thor-T5000, Jetson Thor's powerful performance unlocks physical AI capabilities.\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdTRBL\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #76b900;\"\u003eSpecifications\u003c\/div\u003e\n\u003ctable class=\"tabSty-2 subBlock alignc mgnTB\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth width=\"11%\"\u003eModel\u003c\/th\u003e\n\u003cth width=\"37%\"\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-agx-thor-developer-kit.htm\" target=\"_blank\" style=\"text-decoration: underline;\"\u003eJetson AGX Thor                    Developer Kit\u003c\/a\u003e\u003c\/th\u003e\n\u003cth width=\"19%\"\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-thor-t5000.htm?sku=32815\" target=\"_blank\" style=\"text-decoration: underline;\"\u003eJetson Thor T5000\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-thor-t5000.htm?sku=33927\" target=\"_blank\" style=\"text-decoration: underline;\"\u003eJetson Thor T4000\u003c\/a\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eAI Performance\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e                    2070 TFLOPS                    (FP4 - sparse)                \u003c\/td\u003e\n\u003ctd\u003e                    1200 TFLOPS                    (FP4 - sparse)                \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eGPU\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e                    2560-core N-VIDIA Blackwell architecture GPU with 96 fifth-gen Tensor Cores,                    Multi-Instance GPU (MIG) with 10 TPCs                \u003c\/td\u003e\n\u003ctd\u003e                    1536-core N-VIDIA Blackwell architecture GPU with 64 fifth-gen Tensor Cores,                    Multi-Instance GPU (MIG) with 6 TPCs                \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e                    GPU Max Frequency                \u003c\/th\u003e\n\u003ctd colspan=\"3\"\u003e1.57 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCPU\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e                    14-core Arm® Neoverse®-V3AE 64-bit CPU,                    1 MB L2 cache per core,                    16 MB shared system L3 cache                \u003c\/td\u003e\n\u003ctd\u003e                    12-core Arm® Neoverse®-V3AE 64-bit CPU, 1 MB L2 cache per core,                    16 MB shared system L3 cache                \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e                    CPU Max Frequency                \u003c\/th\u003e\n\u003ctd colspan=\"3\"\u003e2.6 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eVision Accelerator\u003c\/th\u003e\n\u003ctd colspan=\"3\"\u003e1x PVA v3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMemory\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e                    128 GB 256-bit LPDDR5X                    273 GB\/s                \u003c\/td\u003e\n\u003ctd\u003e                    64 GB 256-bit LPDDR5X                    273 GB\/s                \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eStorage\u003c\/th\u003e\n\u003ctd\u003e                    1 TB NVMe M.2 Key M slot                \u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e                    Supports NVMe through PCIe                    Supports Solid State Drives through USB3.2                \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eVideo Encoding\u003c\/th\u003e\n\u003ctd colspan=\"3\"\u003e                    6x 4Kp60 (H.265)                    12x 4Kp30 (H.265)                    24x 1080p60 (H.265)                    50x 1080p30 (H.265)                    48x 1080p30 (H.264)                    6x 4Kp60 (H.264)                \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eVideo Decoding\u003c\/th\u003e\n\u003ctd colspan=\"3\"\u003e                    4x 8Kp30 (H.265)                    10x 4Kp60 (H.265)                    22x 4Kp30 (H.265)                    46x 1080p60 (H.265)                    92x 1080p30 (H.265)                    82x 1080p30 (H.264)                    4x 4Kp60 (H.264)                \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCameras\u003c\/th\u003e\n\u003ctd\u003e                    HSB camera via QSFP slot                    USB camera                \u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e                    Up to 20 cameras via HSB                    Up to 6 cameras through 16x lanes MIPI CSI-2                    Up to 32 cameras using Virtual Channels                    C-PHY 2.1 (10.25 Gbps)                    D-PHY 2.1 (40 Gbps)                \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePCIe*\u003c\/th\u003e\n\u003ctd\u003e                    M.2 Key M slot with x4 PCIe Gen5                    M.2 Key E slot with x1 PCIe Gen5                \u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e                    Up to 8 lanes - Gen5                    Root port only - C1 (x1) and C3 (x2)                    Root port or endpoint - C2 (x1), C4 (x8), and C5 (x4)                \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eUSB Ports*\u003c\/th\u003e\n\u003ctd\u003e                    2x USB-A (3.2 Gen2)                    2x USB-C (3.1)                \u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e                    xHCI host controller with integrated PHY (Up to)                    3x USB 3.2                    4x USB 2.0                \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eNetworking*\u003c\/th\u003e\n\u003ctd\u003e                    1x 50GbE RJ45 connector                    1x QSFP28 (4x 25 GbE)                \u003c\/td\u003e\n\u003ctd\u003e4x 25 GbE\u003c\/td\u003e\n\u003ctd\u003e3x 25 GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDisplays\u003c\/th\u003e\n\u003ctd\u003e                    1x HDMI 2.0b                    1x DisplayPort 1.4a                \u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e                    4x shared HDMI 2.1                    VESA DisplayPort 1.4a-HBR2, MST                \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eOther I\/O\u003c\/th\u003e\n\u003ctd\u003e                    QSFP connector                    M.2 Key E expansion slot (WLAN\/BT, x1 PCIe, USB2.0, UART, I2C, I2S)                    M.2 Key M connector (NVMe for storage)                    PCIe x4 lanes, I2C, PCIe x2 lanes                    2x 13-pin CAN header                    2x 6-pin automation header                    LED                    JTAG connector (2x 5-pin header)                    1x fan connector – 12V, PWM                     Tach audio panel header (2x 5-pin)                    Microsoft power jack                    RTC backup battery connector (2-pin)                \u003c\/td\u003e\n\u003ctd\u003e                    5x I2S\/2x Audio Hub (AHUB), 2x DMIS, 4x UART, 4x CAN, 3x SPI, 12x I2C, 6x PWM outputs                \u003c\/td\u003e\n\u003ctd\u003e                    5x I2S\/2x Audio Hub (AHUB), 2x DMIS, 4x UART, 3x SPI, 13x I2C, 6x PWM outputs                \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePower\u003c\/th\u003e\n\u003ctd\u003e40W ~ 130W\u003c\/td\u003e\n\u003ctd\u003e40W ~ 130W\u003c\/td\u003e\n\u003ctd\u003e40W ~ 70W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDimensions\u003c\/th\u003e\n\u003ctd\u003e                    243.19 x 112.40 x 56.88 (mm)                    Thermal Transfer Plate (TTP) and optional fan or heatsink                \u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e                    100 x 87 (mm)                    699 pin B2B connector                    Integrated Thermal Transfer Plate (TTP) with Heatpipe                \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003ctfoot class=\"alignl\"\u003e\u003ctr\u003e\u003ctd colspan=\"4\"\u003e                    - Refer to the \"Software Features\" section of the latest N-VIDIA Jetson Linux Developer Guide for a list of supported features.                    - These specifications are preliminary and subject to change.                \u003c\/td\u003e\u003c\/tr\u003e\u003c\/tfoot\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c!-- \u003cdiv class=\"pdT\"\u003e\u003cdiv class=\"richTitle\" style=\"color: #76b900;\"\u003eoutline dimensions\u003c\/div\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Thor-T5000\/Jetson-Thor-T5000-details-size.jpg\" alt=\"Jetson-Thor-T5000, outline dimensions\"\u003e\u003c\/div\u003e--\u003e\u003c!--  --\u003e\u003cdiv class=\"pdT\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-AGX-Thor-Developer-Kit\/Jetson-AGX-Thor-Developer-Kit-details-9.jpg\" alt=\"Jetson-AGX-Thor-Developer-Kit, Important Notes\"\u003e\u003c\/div\u003e\n\u003c!--     \u003cdiv class=\"pdT\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Thor-T5000\/Jetson-Thor-T5000-details-9.jpg\" alt=\"Jetson-Thor-T5000, Important Notes\"\u003e\u003c\/div\u003e --\u003e\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003eResources \u0026amp; Services\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\"\u003e\n\u003cstrong\u003eWIKI:\u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/Jetson_AGX_Thor_Developer_Kit\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/Jetson_AGX_Thor_Developer_Kit\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003ch2\u003eLieferumfang\u003c\/h2\u003e\u003cp\u003e\u003cspan class=\"noteBg\"\u003eOPTIONS\u003c\/span\u003e Jetson Thor T4000 \/ T5000 x1\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Thor-T5000\/Jetson-Thor-T5000-pack.jpg\" alt=\"Jetson AGX Thor Developer Kit\"\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":53568550207825,"sku":"WSAL33927","price":1466998.55,"currency_code":"HUF","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0983\/3798\/0753\/files\/wsal328151-481713.jpg?v=1776697334","url":"https:\/\/albistech.eu\/products\/n-vidia-jetson-thor-t4000-t5000-up-to-1200-2070-fp4-tflops-of-ai-compute-and-64-128-gb-of-memory-delivering-the-ultimate-platform-for-physical-ai-and-humanoid-robotics-1","provider":"Albistech","version":"1.0","type":"link"}