• Black circuit board of nvidia igx t5000 ai module with central green to yellow gradient sensor and metallic black components
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NVIDIA

NVIDIA 900-13834-0000-001 | Jetson Thor T4000 AI Module, 64GB, 1200 FP4 TFLOPS

900-13834-0000-001

10 in stock

$5,692.50 inc. GST
$5,175.00 ex. GST
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Description

The Jetson Thor T4000 is an embedded AI system-on-module from the NVIDIA Jetson AGX Thor series, built for robotics and physical AI. It suits humanoid and general robotics, industrial vision, autonomous edge systems, multi-sensor fusion and generative AI workloads running at the edge.

This T4000 variant delivers 1200 FP4 TFLOPS of sparse AI performance from a 1536-core NVIDIA Blackwell GPU with 64 fifth-generation Tensor Cores and Multi-Instance GPU support. The 12-core Arm Neoverse-V3AE CPU runs at up to 2.6 GHz, backed by 64 GB of 256-bit LPDDR5X memory at 273 GB/s. Networking is 3x 25 GbE, and power is configurable from 40 W to 70 W so the module can be tuned to the thermal and power limits of the design.

The module uses a 699-pin board-to-board connector and an integrated thermal transfer plate, so it needs a compatible Jetson Thor carrier board. It shares its form factor with the Jetson T5000, allowing carrier boards to be shared between the two. Software support comes from JetPack 7.1 and Jetson Linux, and no licence or subscription is required for the module itself.

Enquire with XS Network Tech for new or used pricing and availability.

Features

- Blackwell GPU with fifth-gen Tensor Cores and Multi-Instance GPU (MIG) support
- 12-core Arm Neoverse-V3AE CPU for real-time processing
- 3x 25 GbE networking with camera offload engine and Holoscan Sensor Bridge support for high-speed sensor ingest
- Over 4x the AI compute of Jetson AGX Orin, per NVIDIA
- Runs generative AI and large transformer models at the edge
- Works with the NVIDIA Isaac platform and GR00T foundation models
- Supported by JetPack 7.1 and Jetson Linux
- End-to-end security across the compute platform and AI models

Warranty

All products sold by XS Network Tech include a 12-month warranty on both new and used items. Our in-house technical team thoroughly tests used hardware prior to sale to ensure enterprise-grade reliability.

All technical data should be verified on the manufacturer data sheets.

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Technical Specifications

FAQs

Technical Specifications

- AI performance: 1200 FP4 TFLOPS (sparse), 600 FP8 TFLOPS (sparse)
- AI performance (dense): up to 600 FP4 TFLOPS / 300 FP8 TFLOPS
- GPU: 1536-core NVIDIA Blackwell GPU with 64 fifth-gen Tensor Cores
- GPU configuration: 2 GPC, 6 TPC, Multi-Instance GPU with 6 TPCs
- GPU maximum frequency: 1.53 GHz
- FP32 performance: up to 4.7 TFLOPS (MAXN)
- CPU: 12-core Arm Neoverse-V3AE 64-bit, up to 2.6 GHz
- CPU cache: 64 KB I-Cache and 64 KB D-Cache per core, 1 MB L2 per core, 16 MB shared L3
- Vision accelerator: 1x PVA v3
- Memory: 64 GB 256-bit LPDDR5X, 273 GB/s
- Storage: NVMe through PCIe, SSD through USB 3.2
- Networking: 3x 25 GbE
- PCIe: up to 8 lanes Gen5
- USB: up to 3x USB 3.2 and 4x USB 2.0
- Display: 4x shared HDMI 2.1, DisplayPort 1.4a HBR2 with MST
- Camera: up to 20 cameras via HSB, up to 6 cameras through 16 lanes MIPI CSI-2
- Power: 40 W to 70 W configurable
- Form factor: 100 mm x 87 mm, 699-pin B2B connector, integrated thermal transfer plate with heatpipe

FAQs

Q: Does the Jetson Thor T4000 need a licence or subscription?
A: No. The module itself needs no licence or subscription. It is supported by the NVIDIA JetPack SDK and Jetson Linux.

Q: What power does the T4000 module need?
A: Power is configurable from 40 W to 70 W, so you can match the power mode to your thermal design. Supply rails are 5 V and 12 V typical.

Q: Does it need a carrier board?
A: Yes. It is a system-on-module with a 699-pin board-to-board connector, so it needs a compatible Jetson Thor carrier board.

Q: Can it share a carrier board with the Jetson T5000?
A: Yes. The T4000 uses the same form factor as the Jetson T5000, so carrier boards can be shared between the two.

Q: Which software does it support?
A: It is supported by JetPack 7.1 and Jetson Linux (r38.x), and works with the NVIDIA Isaac platform and GR00T foundation models.

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