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The Ultimate Platform for Physical AI and Robotics
The NVIDIA® Jetson T5000™ offers the highest level of performance for physical AI and robotics. You get up to 2070 FP4 TFLOPS of AI computeand 128 GB of memory with power configurable between 40 W and 130W. Compared to AGX Orin™, it delivers over 7.5x higher AI compute than NVIDIA AGX Orin™, with 3.5x better energy efficiency.
This system-on-module features an NVIDIA Blackwell architecture GPU with a transformer engine and Multi-Instance GPU (MIG) support to effortlessly run the latest generative AI models. NVIDIA Jetson Thor
accelerates low-latency, real-time multi-sensor applications with a 14-core Arm® Neoverse®-V3AE CPU, 4x 25 GbE networking, and extensive I/O options for sensor fusion. It also includes a suite of accelerators, such as a third-generation Programmable Vision Accelerator (PVA), dual encoders and decoders, an optical flow accelerator, and more.
Jetson Thor belongs to a new class of robotic computers, architected from the ground up to power next-generation physical AI applications. It supports a wide range of generative AI models, from Vision Language Action (VLA) models like NVIDIA Isaac™ GR00T for humanoids to all popular LLMs and VLMs. To deliver a seamless cloud-to-edge experience, Jetson Thor runs the NVIDIA AI software stack for physical AI applications, including NVIDIA Isaac for robotics, NVIDIA Metropolis for visual agentic AI, and NVIDIA Holoscan for sensor processing. You can also build AI agents at the edge using NVIDIA agentic AI workflows like Video Search and Summarization (VSS).
Our ecosystem of partners offers all the carrier boards, design services,cameras, and other sensors you need, as well as additional AI and system software. This lets you accelerate solution development in industries from robotics and smart spaces, to retail, industrial, medical, and more.
Jetson Thor module gives you production-ready performance, massive AI compute, and sensor capabilities for physical AI applications in a compact form factor. This makes it the ideal platform for developers looking to unlock new possibilities for humanoid robotics and other physical AI applications.
- NVIDIA Jetson T5000 Module
- 2070 FP4 TFLOPS AI Compute powered by Blackwell GPU
- 14-core ARM Neoverse CPU
- 128 GB LPDDR5X Memory
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AI Performance
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2070 TFLOPS (FP4—sparse)
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GPU
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2560-core NVIDIA Blackwell architecture
GPU with 96 fifth-gen Tensor Cores
Multi-Instance GPU with 10 TPCs
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GPU Max Frequency
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1.57 GHz
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CPU
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14-core Arm® Neoverse®-V3AE 64-bit CPU
64 KB I-Cache, 64 KB D-Cache
1 MB L2 Cache per core
16 MB shared system L3 cache
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CPU Max Frequency
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2.6 GHz
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Vision Accelerator
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1x PVA v3
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Memory
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128 GB 256-bit LPDDR5X
273 GB/s
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Storage
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Supports NVMe through PCIe
Supports SSD through USB3.2
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Video Encode
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6x 4Kp60 (H.265)
12x 4Kp30 (H.265)
24x 1080p60 (H.265)
50x 1080p30 (H.265)
48x 1080p30 (H.264)
6x 4Kp60 (H.264)
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Video Decode
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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)
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Camera
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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)
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PCIe*
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Up to 8 lanes—Gen5
Root port only—C1 (x1) and C3 (x2)
Root Point or Endpoint—C2 (x1), C4 (x8),
and C5 (x4)
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USB*
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xHCI host controller with integrated PHY
3x USB 3.2
4x USB 2.0
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Networking
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4x 25 GbE
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| Display |
4x shared HDMI2.1
VESA DisplayPort 1.4a—HBR2, MST |
| Other I/O |
5x I2S/2x Audio Hub (AHUB), 2x DMIS, 4x
UART, 4x CAN, 3x SPI, 13x I2C, 6x PWM
outputs |
| Power |
40 W–130 W |
| Mechanical |
100 mm x 87 mm
699-pin B2B connector
Integrated Thermal TransferPlate (TTP)
with heatpipe |
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