EverFocus Launches EAC-100T6 Balanced Performance Edge Intelligence Powered by NVIDIA Jetson T4000
Modern physical AI deployments increasingly require real-time reasoning across perception, language, and action. Robotics platforms, autonomous systems, and intelligent environments now combine vision understanding, sensor fusion, and decision logic directly on devices. 
As these workloads move closer to live operation, edge platforms must support low-latency execution, high data throughput, and predictable system behavior under constrained power.
An Edge Platform for Physical AI Workloads
EAC-100T6 is designed to support real-time reasoning for general AI, robotics, and physical AI applications. The system combines AI compute, sensing acceleration, and edge connectivity in a form factor intended for production deployment.
By executing reasoning and perception pipelines locally, EAC-100T6 supports responsive behavior and predictable system operation without reliance on cloud-side inference.
Powered by NVIDIA Jetson T4000
The EAC-100T6 is powered by NVIDIA Jetson T4000 system-on-module, featuring an NVIDIA Blackwell architecture GPU, paired with a 12-core Arm® Neoverse™ V3AE CPU. The platform delivers up to 1200 FP4 TFLOPS of AI compute with 64 GB LPDDR5X memory.
Platform Capabilities
Key platform capabilities include:
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Real-time reasoning across vision, language, and action pipelines
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Support for development and deployment of vision-language models, large language models, and agent-based AI workflows
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Concurrent workload execution through GPU resource partitioning and system-level isolation (configuration dependent)
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Low-latency, predictable execution supported by CPU and hardware accelerators
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Support for NVIDIA’s open models, frameworks and libraries such as NVIDIA Isaac, NVIDIA Metropolis, NVIDIA Holoscan, NVIDIA Cosmos Reason, and agentic AI workflows such as the NVIDIA Blueprint for Video Search and Summarization (VSS)
This configuration is suited for physical AI and robotics workloads such as real-time decision making, multi-sensor processing, and edge-based AI systems requiring deterministic performance.
Balanced Performance Profile for Fanless Designs
With a balanced performance profile, NVIDIA Jetson T4000 offers a strong balance of AI performance, power consumption, and system cost. This reduces system thermal demands and makes fanless designs more achievable. Its AI inference capability is still sufficient for most AMR and edge AI workloads, including navigation, perception, and real time decision processing.
Learn more about EAC-100T6: https://www.everfocus.com/products-detail/EAC-100T6/
For technical details, configuration options, and inquiries: https://www.everfocus.com/contact/