Steatite edge AI systems & accelerators offer real-time visual inference results without the need for high-bandwidth cloud connectivity.

Based on Nvidia CUDA accelerators including Jetson, GeForce, Tesla and Quadro, along with Intel Movidius VPUs and Arria FPGAs.

Real-Time Inference – Running AI models on local hardware results in near-instant inference results.
Power Efficient –Specialist AI acceleration hardware and optimisation techniques helps reduce power consumption.
Frameworks – Regardless of the AI framework used, we can help to get your model running in a live environment.
Harsh Environment – Our Edge AI systems are designed to tolerate shock, vibration, hot, cold, water or dust.
Connectivity – AI Inference at the edge removes the bandwidth requirements associated with cloud-based AI.

Take a look at some of our AI systems and accelerators below, or contact one of the team to learn more.

  • Inference / Deep Learning Accelerator Cards

    Low-latency FPGA & Movidius based Inference acceleration cards for AI edge computing.

  • Axiomtek eBOX560-900-FL

    Key Features

    • NVIDIA® JETSON TX2
    • AI Computing Performance
    • GPU Accelerated Processing
    • Compact w/ NVMe Support
    • Intelligent Edge Applications
    • JetPack Support

    Quick Overview

    The Axiomtek eBOX560-900-FL employs a NVIDIA Jetson™ TX2 module which has a powerful 64-bit ARM A57 processor; a 256 CUDA cores with NVIDIA® Pascal™ GPU Architecture; 8GB of LPDDR4 memory; . . .

  • IEI Mustang-F100-A10

    Key Features

    • Intel Arria 10 GX1150 FPGA
    • <60W Power Consumption
    • Multi Card Support Per System
    • Optimised For Deep Learning
    • AI Edge Computing Ready
    • OpenVINO­™ Toolkit Support

    Quick Overview

    The IEI Mustang-F100-A10 is a small form factor, low power consumption, and low-latency FPGA based PCIe card for inference at the edge computing solutions.

  • IEI Mustang-V100-MX8

    Key Features

    • 8 x Intel Myriad X VPUs
    • <30W Power Consumption
    • OpenVINO­ Toolkit Support
    • Multi Card Support Per System
    • Low Latency
    • AI Edge Computing Ready

    Quick Overview

    The IEI Mustang-V100-MX8 is a small form factor, low power consumption, and low-latency Intel Movidius based PCIe card for inference at the edge computing solutions.

  • ADLINK NEON-J

    Key Features

    • 3.5″ SBC (5.7 in x 4.09 in)
    • NVIDIA® Jetson™ TX2
    • Up to 8GB DDR3L Memory
    • HDMI & eDP Display Options
    • PCI Express Mini Card Slot
    • -20°C to 70°C Operating Temp

    Quick Overview

    ADLINK’s NEON-J is the first AI industrial camera to integrate the NVIDIA® Jetson™ TX2, image sensor, and I/O control in a compact chassis serving machine vision applications at the edge.

  • ADLINK M200-JT2

    Key Features

    • NVIDIA® JETSON TX2 System
    • Dual Core Denver/Quad Core A57
    • 8GB LPDDR4 Memory Onboard
    • Rich I/O & Expansion
    • Ideal For Intelligent Edge Apps
    • Linux & JetPack Support

    Quick Overview

    To deliver Artificial Intelligence (AI) at the edge, ADLINK’s M200-JT2 Edge Inference Platform integrates NVIDIA® Jetson™ TX2 to accelerate deep learning workloads for object detection, recognition and classification.