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Jetson T4000, NVIDIA Embedded AI Module with Jetson Thor module for efficient robotics and edge AI deployments

Marque: NVIDIA Mellanox
Modèle: Jetson T4000

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Jetson T4000, NVIDIA Embedded AI Module with Jetson Thor module for efficient robotics and edge AI deployments

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Vue d’ensemble

NVIDIA Mellanox Jetson T4000 Vue d’ensemble

NVIDIA Jetson T4000 is a Jetson Thor production module for robotics and industrial edge AI, combining a Blackwell GPU with 1,536 CUDA cores, 64GB LPDDR5X memory and up to 1,200 FP4 TFLOPS of sparse AI performance. Its 40–70W range balances compute density and deployment efficiency.

Key Specifications

AI Performance

Up to 1,200 FP4 TFLOPS with sparsity

GPU and MIG

1,536 CUDA cores, 5th-generation Tensor Cores and 6 TPC MIG

CPU and Memory

12-core Arm Neoverse V3AE and 64GB LPDDR5X

Power Range

40–70W operating range

Production Integration

Thor module for OEM robotics, industrial automation and edge-server designs

Balanced Thor Tier

A lower-power production option than T5000 for systems that do not need its full memory and compute ceiling

Best Fit Applications

Production Robotics

The T4000 provides Thor-class acceleration for standard robots and autonomous machines designed for repeatable production deployment.

Industrial Vision

Blackwell GPU acceleration supports real-time inspection, multi-camera analytics and other industrial computer-vision workloads.

Edge Servers

The 40–70W envelope suits compact edge servers and gateways that need more AI capacity than Orin-class modules.

Multi-Task AI

MIG capability helps support separated or concurrent AI workloads where the product architecture benefits from GPU partitioning.

Why Jetson T4000

Thor Performance at a Lower Tier

Up to 1,200 FP4 TFLOPS and 64GB memory provide strong physical-AI capability without moving to the T5000 configuration.

Production-Focused Power Profile

The 40–70W range gives OEMs a clear option for systems with stricter thermal and energy limits.

MIG for Workload Separation

6 TPC MIG support can help partition GPU resources for multi-task edge systems when supported by the final software configuration.

Compare Related Models

	NVIDIA Jetson T4000	NVIDIA Jetson T5000	NVIDIA Jetson AGX Thor	NVIDIA Jetson Orin NX 16GB
AI Performance	Up to 1,200 FP4 TFLOPS, sparse	Up to 2,070 FP4 TFLOPS, sparse	Up to 2,070 FP4 TFLOPS, sparse	Up to 157 INT8 TOPS in MAXN_SUPER mode
GPU	1,536 CUDA cores; 5th-generation Tensor Cores	2,560 CUDA cores; 5th-generation Tensor Cores	2,560 CUDA cores; 5th-generation Tensor Cores	1,024 CUDA / 32 Tensor Cores
CPU	12-core Arm Neoverse V3AE	14-core Arm Neoverse V3AE	14-core Arm Neoverse V3AE	8-core Arm Cortex-A78AE
Memory	64GB LPDDR5X	128GB LPDDR5X	128GB LPDDR5X	16GB LPDDR5
Power	40–70W	40–130W	40–130W	10–25W
MIG	6 TPC MIG	10 TPC MIG	10 TPC MIG	Jetson Orin platform; not a Thor MIG module
Best Fit Scenario	Production robots, industrial vision and edge servers with a balanced Thor profile	Production humanoid robots, physical AI and real-time edge reasoning	Humanoid robots, physical AI, real-time VLA inference and advanced industrial robotics	Compact robotics, smart cameras, drones and industrial edge boxes
Target Customer	Robot makers, industrial automation teams and edge-compute integrators	Robotics OEMs, physical-AI product teams and edge AI system integrators	Humanoid-robot OEMs, physical-AI developers and advanced automation teams	Embedded device vendors and developers with tight power budgets
Not Recommended For	Large physical-AI workloads that need the T5000 memory and compute tier	Entry-level robots or thermally constrained products that do not need the T5000 performance tier	Low-power edge devices or projects that do not need Thor-class compute	Thor-class physical-AI workloads or large multimodal models

Certificats de qualité

spécification

NVIDIA Mellanox Jetson T4000 spécification

General
Brand	NVIDIA
Product Category	Embedded AI Module
Model	Jetson T4000
Module Family	Jetson Thor
Compute
GPU Architecture	NVIDIA Blackwell
CUDA Cores	1,536
Tensor Cores	5th Generation
CPU	12-core Arm Neoverse V3AE
AI Performance	Up to 1,200 FP4 TFLOPS with sparsity
MIG	6 TPC MIG
Memory and Power
Memory	64GB LPDDR5X, 256-bit, up to 273GB/s
Power Range	40–70W
Integration
Form Factor	Jetson Thor production module; carrier-board and system design must be confirmed

Still unsure about your configuration? Talk to an engineer for assistance.

Certificats de qualité

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