Introducing NVIDIA Jetson T3000 & T2000: Choosing the Right Module for Your Next Edge AI Project

Updated on: July 28, 2026

Discover how NVIDIA's latest Jetson modules bridge the gap between embedded AI and industrial-scale edge computing and learn which one best fits your application.

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NVIDIA Expands the Jetson Family - NVIDIA Introduces New Jetson Thor Computers to Advance Mainstream Robotics and Edge AI

As edge AI continues to evolve, developers are demanding more than just higher performance. They need platforms that balance AI capabilities, power efficiency, deployment flexibility, andcost. Responding to these needs, NVIDIA has introduced two new members of the Jetson family: Jetson T3000 and Jetson T2000.

Positioned between entry-level embedded AI modules and high-end robotics platforms, these new additions provide scalable computing options for industrial automation, robotics, smartvision systems, and AI-powered edge devices.

Rather than replacing existing Jetson platforms, the T3000 and T2000 expand the ecosystem, giving developers more flexibility to match hardware capabilities with real-world application requirements.

T2000 and T3000 Deliver Industry-Leading AI Performance

Edge AI workloads have become increasingly diverse. While some applications require the highest possible AI performance, many projects need an optimal balance of compute power, memory bandwidth, energy consumption, and system cost.

Leadership Performance: T3000 Achieves 90% of the inference performance of the T5000 for LLMs, VLMs, VLAs and WFMs.

Energy Efficiency: Optimized Tokens per Watt at half the size and power of the T5000.

Cost-Effective: Migrating from T5000 to T3000 helps reduce costs amid high memory price.

The introduction of the T3000 and T2000 addresses several growing industry demands:

More efficient deployment of generative and agentic AI models at the edge

Better scalability across different product tiers

Lower system cost for production deployments

Simplified migration toward the NVIDIA Jetson Thor ecosystem

This broader portfolio allows developers to avoid overprovisioning hardware while still supporting increasingly sophisticated AI workloads.

Jetson T3000: High Performance for Industrial Edge AI

The new NVIDIA T3000 module is designed to enable intelligent humanoid robots and autonomous systems at scale. It features a Blackwell GPU with 865 FP4 TFLOPS, an 8-core Neoverse Arm CPU, 32 GB LPDDR5X memory, 273 GB/s memory bandwidth, high-speed I/O of 25GbE connectivity, and full-stack safety. All at about half the size and power of the T5000.

T3000 also delivers 90% of T5000's LLM, VLM, VLA, and WFM inference performance with the same high memory bandwidth and optimized tokens per watt. Migrating to T3000 helps reduce costs amid high memory prices.

The Jetson T3000 is designed for demanding edge AI applications that require significant inference performance without moving to the highest-end robotics platforms.

Typical applications include:

Industrial machine vision

Autonomous mobile robots (AMRs)

Intelligent video analytics

AI-powered quality inspection

Edge servers for manufacturing

These workloads often involve multiple AI models running simultaneously, high-resolution camera streams, and real-time decision making.

Jetson T2000: Efficient AI for Embedded Systems

The new NVIDIA T2000 module brings Thor architecture to a broader range of edge AI applications. With 400 FP4 TFLOPS of AI compute and 16 GB of memory, it’s the ideal entry point to the Thor product family, enabling visual AI agents, autonomous mobile robots, manipulators, and more.

The Jetson T2000 targets applications where efficiency, compact system design, and optimized power consumption are equally important.

For many embedded applications, the T2000 delivers the AI acceleration developers need without increasing overall system complexity.

The comparison below highlights how the latest addition fits within the broader Jetson family.

Module	AI Performance	GPU	CPU	Memory	Architecture
Jetson Orin Nano 4 GB	Up to 34 TOPS	512 CUDA Cores + 16 Tensor Cores	6-core Arm Cortex-A78AE	4 GB LPDDR5	NVIDIA Ampere
Jetson Orin Nano 8 GB	Up to 67 TOPS	1024 CUDA Cores + 32 Tensor Cores	6-core Arm Cortex-A78AE	8 GB LPDDR5	NVIDIA Ampere
Jetson Orin NX 8 GB	Up to 117 TOPS	1024 CUDA Cores + 32 Tensor Cores	6-core Arm Cortex-A78AE	8 GB LPDDR5	NVIDIA Ampere
Jetson Orin NX 16 GB	Up to 157 TOPS	1024 CUDA Cores + 32 Tensor Cores	8-core Arm Cortex-A78AE	16 GB LPDDR5	NVIDIA Ampere
Jetson AGX Orin 32 GB	Up to 200 TOPS	1792 CUDA Cores + 56 Tensor Cores	8-core Arm Cortex-A78AE	32 GB LPDDR5	NVIDIA Ampere
Jetson AGX Orin 64 GB	Up to 275 TOPS	2048 CUDA Cores + 64 Tensor Cores	12-core Arm Cortex-A78AE	64 GB LPDDR5	NVIDIA Ampere
Jetson T2000 NEW	Up to 400 FP4 TFLOPS	NVIDIA Blackwell GPU	Arm Neoverse CPU	16 GB LPDDR5X	NVIDIA Blackwell
Jetson T3000 NEW	Up to 865 FP4 TFLOPS	NVIDIA Blackwell GPU	8-core Arm Neoverse	32 GB LPDDR5X	NVIDIA Blackwell
Jetson T4000	Up to 1200 FP4 TFLOPS	NVIDIA Blackwell GPU	Arm Neoverse-V3AE	128 GB LPDDR5X	NVIDIA Blackwell
Jetson T5000	Up to 2070 FP4 TFLOPS	NVIDIA Blackwell GPU	Arm Neoverse-V3AE	128 GB LPDDR5X	NVIDIA Blackwell

At FORECR, we continue to align our embedded AI portfolio with NVIDIA's latest roadmap. In addition to our existing Jetson-based carrier boards, rugged edge AI computers, and development platforms, we are working on solutions designed for the newestJetson technologies.

If your project requires a custom carrier board or a tailor-made embedded AI platform, our engineering team can support your development from concept to production.