NVIDIA introduced the Jetson T4000 in January 2026, bringing the powerful Blackwell architecture to edge devices. This module is designed to accelerate AI inference for robotics, autonomous machines, and industrial automation. Up to 1,200 FP4 TFLOPS of AI compute with four times the energy consumption and performance of earlier models, all in a configurable 40-watt to 70-watt power range.
The main features of the Jetson T4000 are:
- Architecture: Built on the Blackwell architecture. It supports the Transformer engine and Multi-Instance GPU (MIG) technology.
- Compute Power delivers 1200 FP4 TFLOPS, powering complex real-time AI tasks, such as Generative AI and Visual Language Models (VLMs).
- Memory & I/O: Includes 64GB of memory and a 12-core ARM Neoverse v3aE CPU, three 25GB E-Network ports, and advanced I/O for sensor fusion.
- Video capability: Features one NVENC and one NVDEC hardware video codec engine for fast 4K video processing.
- Form factor: Shares the same form factor and pin layout as the Jetson T5000, making it easy for developers to switch between performance models.
Applications and Ecosystem:
The Jetson T-4000 is designed for mobile robots, quadrupeds, drones, and industrial automation, advancing physical AI. It uses the Jetpack 7.1 software stack, which includes Tensor RT Edge LLM for efficient local inference. Many partners, including AAEON, Advantech, Atena, and ForeCR, offer carrier boards for this module.
This module is part of the Jetson-Thor series and is available to developers building next-generation intelligent machines.
NVIDIA has introduced the Jetson T-4000 Edge AI module to meet the increasing demand of system integrators, equipment manufacturers, and enterprise customers for balanced performance, power efficiency, and deployment flexibility, boasting robust inference capabilities and a lightweight design. The Jetson T-4000 enables the swift implementation of practical physical AI applications.
The Jetson T-4000, based on NVIDIA Blackwell architecture, supports Transformer Engine Multi-Instance GPU technologies. It incorporates a 12-core ARM Novas V3 AE CPU, 25 GBe Network interfaces, and diverse I/O options, rendering it suitable for low-latency multi-sensor and real-time computing. The module also includes a 3rd-generation programmable Vision Accelerator, dual encoders and decoders, and an optical flow accelerator. These dedicated hardware components provide stable AI inference even with limited compute and power resources, making the platform suitable for mid-range models and real-time edge applications.
The modular architecture of the Jetson T4000, together with NVIDIA’s established software ecosystem, enables system integrators to integrate vision sensing and control systems rapidly. This approach reduces development and validation cycles and improves project delivery efficiency, particularly for multi-site scalable edge AI deployments.
The compact form factor and low-power design of the Jetson 3000/T4000 enable equipment manufacturers to integrate it into a wide range of end devices, including sophisticated robotics, industrial equipment, smart terminals, machine vision systems, and edge controllers. These features enable the integration of stable AI inference into products with limited space and power, thereby accelerating intelligent product upgrades.
Enterprise users may deploy the Jetson T4000 in multiple scenarios, including:
- Smart factories
- Smart retail
- Security
- Edge sensor data processing
Performing inference and data preprocessing at the Edge reduces system latency, reduces cloud workloads, and increases overall process efficiency while maintaining system stability and deployment flexibility.
For robotics and automation applications, the Jetson 3400’s low-power consumption, high-speed I/O, and compact footprint make it suitable for small mobile robots, educational robots, and autonomous inspection systems. These attributes enable efficient, reliable AI computing across diverse automation use cases.
The Nvidia Jetson product lineup includes both lightweight and high-performance modules, such as the Jetson T4000 and the T5000, to address a range of requirements from compact edge devices and industrial control systems to high-performance inference applications. N-Media’s comprehensive AI development tools and SDKs enable developers to efficiently port models, optimize inference performance, and integrate AI capabilities into existing system architectures.
In addition to supplying Jetson T-4000 models, NVIDIA utilizes its broad partner ecosystem in chips, modules, system integration, and application development. The conglomerate offers end-to-end help tailored to the development stages and requirements of system integrators, equipment manufacturers, and enterprise customers, including early-stage planning, technical consulting, and ecosystem enablement. By sharing expertise and practical experience, the company assists both established customers and new entrants in building application capabilities and deploying edge AI solutions, tailored to real-world use cases.
Source: EDOM Unveils NVIDIA Jetson T4000, Powering Lightweight and Stable Edge AI
