EDOM Technology announced the introduction of the NVIDIA Jetson T4000 edge AI module, addressing the growing demand from system integrators, equipment manufacturers, and enterprise customers for balanced performance, power efficiency, and deployment flexibility. With powerful inference capability and a lightweight design, NVIDIA Jetson T4000 enables faster implementation of practical physical AI applications.
Powered by NVIDIA Blackwell architecture, NVIDIA Jetson T4000 supports Transformer Engine and Multi-Instance GPU (MIG) technologies. The module integrates a 12-core Arm Neoverse-V3AE CPU, three 25GbE network interfaces, and a wide range of I/O options, making it well-suited for low-latency, multi-sensor, and real-time computing requirements. In addition, Jetson T4000 features a third-generation programmable vision accelerator (PVA), dual encoders and decoders, and an optical flow accelerator. These dedicated hardware engines allow stable AI inference even under constrained compute and power budgets, making the platform particularly suitable for mid-range models and real-time edge applications.
For system integrators (SIs), the modular architecture of Jetson T4000, combined with NVIDIA’s mature software ecosystem, enables rapid integration of vision, sensing, and control systems. This significantly shortens development and validation cycles while improving project delivery efficiency, especially for multi-site and scalable edge AI deployments.
For equipment manufacturers, Jetson T4000’s compact form factor and low-power design allow flexible integration into a wide range of end devices, including advanced robotics, industrial equipment, smart terminals, machine vision systems, and edge controllers. These capabilities help manufacturers bring stable AI inference into products with limited space and power budgets, accelerating intelligent product upgrades.
Enterprise users can deploy Jetson T4000 across diverse scenarios such as smart factories, smart retail, security, and edge sensor data processing. By performing inference and data pre-processing at the edge, organisations can reduce system latency, lower cloud workloads, and improve overall operational efficiency—while maintaining system stability and deployment flexibility.
In robotics and automation applications, Jetson T4000 features low power consumption, high-speed I/O and a compact footprint, making it an ideal platform for small mobile robots, educational robots, and autonomous inspection systems, delivering efficient and reliable AI computing for a wide range of automation use cases.
NVIDIA Jetson product lineup spans from lightweight to high-performance modules, including Jetson T4000 and T5000, addressing diverse requirements ranging from compact edge devices and industrial control systems to higher-performance inference applications. With NVIDIA’s comprehensive AI development tools and SDKs, developers can rapidly port models, optimise inference performance, and seamlessly integrate AI capabilities into existing system architectures.
Beyond supplying Jetson T4000 modules, EDOM Technology leverages its extensive ecosystem of partners across chips, modules, system integration, and application development. Based on the specific development stages and requirements of system integrators, equipment manufacturers, and enterprise customers, EDOM provides end-to-end support—from early-stage planning and technical consulting to ecosystem enablement. By sharing ecosystem expertise and practical experience, EDOM helps both existing customers and new entrants to the edge AI domain quickly build application capabilities and deploy edge AI solutions tailored to real-world scenarios.
