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Jetson AGX Thor, NVIDIA Embedded AI Module with Blackwell-based edge AI platform for real-time robotics and physical AI

Marca: NVIDIA Mellanox
Modelo: Jetson AGX Thor

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Jetson AGX Thor, NVIDIA Embedded AI Module with Blackwell-based edge AI platform for real-time robotics and physical AI

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Vista general

NVIDIA Mellanox Jetson AGX Thor Vista general

NVIDIA Jetson AGX Thor is a Blackwell-based edge AI platform for physical AI and robotics, combining up to 2,070 FP4 TFLOPS of sparse AI performance with 128GB LPDDR5X memory. The supplied product data identifies this SKU as a developer kit/module designation, so the exact sale configuration should be confirmed before publication.

Key Specifications

AI Performance

Up to 2,070 FP4 TFLOPS with sparsity

Blackwell GPU

2,560 CUDA cores, 5th-generation Tensor Cores and 10 TPC MIG

CPU and Memory

14-core Arm Neoverse V3AE with 128GB LPDDR5X

Power Range

40–130W for configurable edge-system performance

Physical AI

Designed for real-time reasoning, VLA models and next-generation robotics

Configuration Check

Developer kit and production-module availability must be confirmed for the order

Best Fit Applications

Humanoid Robotics

Thor-class compute and 128GB memory support real-time perception, planning and reasoning in humanoid robot development.

Physical AI and VLA

Blackwell acceleration supports vision-language-action workflows and local inference for physically grounded AI systems.

Real-Time Multimodal Vision

The large memory and edge AI platform are suited to multi-camera perception and real-time sensor-fusion pipelines.

Advanced Industrial Automation

The 40–130W range provides a platform for high-performance automation and robotics systems deployed outside the data center.

Why Jetson AGX Thor

Thor-Class Blackwell Compute

Up to 2,070 FP4 TFLOPS and fifth-generation Tensor Cores provide a high-performance foundation for physical AI workloads.

Large Memory for Complex Models

128GB LPDDR5X helps accommodate larger models, multi-sensor inputs and real-time robot reasoning pipelines.

Development-to-Production Path

The platform connects developer-kit experimentation with production Jetson Thor modules, subject to final configuration confirmation.

Compare Related Models

	NVIDIA Jetson AGX Thor	NVIDIA Jetson T5000	NVIDIA Jetson T4000	NVIDIA Jetson AGX Orin 64GB
AI Performance	Up to 2,070 FP4 TFLOPS, sparse	Up to 2,070 FP4 TFLOPS, sparse	Up to 1,200 FP4 TFLOPS, sparse	Up to 275 TOPS
GPU	2,560 CUDA cores; 5th-generation Tensor Cores	2,560 CUDA cores; 5th-generation Tensor Cores	1,536 CUDA cores; 5th-generation Tensor Cores	2,048 CUDA / 64 Tensor Cores
CPU	14-core Arm Neoverse V3AE	14-core Arm Neoverse V3AE	12-core Arm Neoverse V3AE	12-core Arm Cortex-A78AE
Memory	128GB LPDDR5X	128GB LPDDR5X	64GB LPDDR5X	64GB LPDDR5
Power	40–130W	40–130W	40–70W	15–60W
MIG	10 TPC MIG	10 TPC MIG	6 TPC MIG	Jetson Orin platform; not a Thor MIG module
Best Fit Scenario	Humanoid robots, physical AI, real-time VLA inference and advanced industrial robotics	Production humanoid robots, physical AI and real-time edge reasoning	Production robots, industrial vision and edge servers with a balanced Thor profile	Mature robotics, autonomous-machine development and multimodal edge AI
Target Customer	Humanoid-robot OEMs, physical-AI developers and advanced automation teams	Robotics OEMs, physical-AI product teams and edge AI system integrators	Robot makers, industrial automation teams and edge-compute integrators	Robotics OEMs and edge AI integrators building on the Orin ecosystem
Not Recommended For	Low-power edge devices or projects that do not need Thor-class compute	Entry-level robots or thermally constrained products that do not need the T5000 performance tier	Large physical-AI workloads that need the T5000 memory and compute tier	New designs that specifically require Blackwell-based physical-AI performance

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Especificación

NVIDIA Mellanox Jetson AGX Thor Especificación

General
Brand	NVIDIA
Product Category	Embedded AI Module / Developer Platform
Model	Jetson AGX Thor
Module Family	Jetson Thor
Compute
GPU Architecture	NVIDIA Blackwell
CUDA Cores	2,560
Tensor Cores	5th Generation
CPU	14-core Arm Neoverse V3AE
AI Performance	Up to 2,070 FP4 TFLOPS with sparsity
MIG	10 TPC MIG
Memory and Power
Memory	128GB LPDDR5X
Power Range	40–130W
Configuration
Product Form	Supplied planning data identifies a developer kit/module designation; confirm the exact kit or production-module configuration before publication

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

Certificaciones de calidad

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