Steatite edge AI systems 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 – Edge AI inference is ideal for use when shock, vibration, temperature, water or dust can be a problem.
Connectivity – Inference at the edge reduces bandwidth requirements, but we can offer 4G/5G, WiFi & LAN connectivity.

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.

  • GW-1000

    Key Features

    • Nvidia / AMD GPU Support
    • Intel 8th/9th Gen Core CPU
    • Up to 7 Display Outputs (Q370)
    • Brushed Aluminium Front
    • Up to 32GB DDR4 Memory
    • Available For At Least 5 Years

    Quick Overview

    The GW-1000 is a compact, high performance graphics workstation offering support for a range of Nvidia and AMD graphics cards. Ideally suited to applications requiring multi-head graphics output, or for . . .

  • Mustang-M2AE-MX1

    Key Features

    • M.2 AE Key Form Factor
    • 1 x Intel Myriad X VPU
    • 4.5W Power Consumption
    • OpenVINO­ Toolkit Support
    • -20°C to 60°C Operating Temp
    • AI Edge Computing Ready

    Quick Overview

    The Mustang-M2AE-MX1M.2 AE-key card includes one Intel® Movidius™ Myriad™ X VPU, providing an flexible AI inference solution for compact size and embedded systems.

  • Mustang-M2BM-MX2

    Key Features

    • M.2 BM Key Form Factor
    • 2 x Intel Myriad X VPUs
    • 7.5W Power Consumption
    • OpenVINO­ Toolkit Support
    • -20°C to 60°C Operating Temp
    • AI Edge Computing Ready

    Quick Overview

    The Mustang-M2BM-MX2 card included two Intel® Movidius™ Myriad™ X VPU, providing an flexible AI inference solution for compact size and embedded systems.

  • Mustang-MPCIE-MX2

    Key Features

    • Mini PCIe Form Factor
    • 2 x Intel Myriad X VPUs
    • 7.5W Power Consumption
    • OpenVINO­ Toolkit Support
    • -20°C to 60°C Operating Temp
    • AI Edge Computing Ready

    Quick Overview

    The Mustang-MPCIE-MX2 card included two Intel® Movidius™ Myriad™ X VPU, providing an flexible AI inference solution for compact size and embedded systems.

  • Mustang-V100-MX4

    Key Features

    • PCIe x 2 Form Factor
    • 4 x Intel Myriad X VPUs
    • 15W Power Consumption
    • OpenVINO­ Toolkit Support
    • Multiple Cards Supported
    • -20°C to 60°C Operating Temp

    Quick Overview

    The Mustang-V100-MX4 is a PCIe Gen 2 x 2 card included 4 Intel® Movidius™ Myriad™ X VPU, providing an flexible AI inference solution for compact size and embedded systems.

  • EGPA-I201

    Key Features

    • 2 x Intel Myriad X VPUs
    • Low Power Design
    • OpenVINO­ Toolkit Support
    • M.2 2280 B+M Key Form Factor
    • Complies With CE/FCC Class A
    • AI Edge Computing Ready

    Quick Overview

    The EGPA-I201  enhances all vision inference applications such as facial recognition, vehicle registration plate recognition, and many other machine vision applications. Thanks to its low power consumption and high performance, . . .

  • EGX-MXM-P5000

    Key Features

    • MXM 3.1 Type B Form Factor
    • 2048 NVIDIA CUDA Cores
    • 6.4 TFLOPS SP Performance
    • 16GB GDDR5 Memory
    • 192GB/s Memory Bandwidth
    • 100W Maximum Power

    Quick Overview

    Meeting the needs of embedded, ruggedised, and mobile system builders, the EGX-MXM-P5000 utilises Quadro Pascal architecture to deliver superior graphics and computing performance.

  • EGX-MXM-P3000

    Key Features

    • MXM 3.1 Type B Form Factor
    • 1280 NVIDIA CUDA Cores
    • 3.9 TFLOPS SP Performance
    • 4GB GDDR5 Memory
    • 168GB/s Memory Bandwidth
    • 75W Maximum Power

    Quick Overview

    Meeting the needs of embedded, ruggedized, and mobile system builders, ADLINK’s EGX-MXM-P3000 Embedded MXM GPU Module is specifically purposed to accommodate form factors incompatible with conventional PCI Express cards, and . . .

  • EGX-MXM-P2000

    Key Features

    • MXM 3.1 Type A Form Factor
    • 768 NVIDIA CUDA Cores
    • 2.3 TFLOPS SP Performance
    • 4GB GDDR5 Memory
    • 96GB/s Memory Bandwidth
    • Supports Up to 4 FHD Displays

    Quick Overview

    ADLINK’s EGX-MXM-P2000 Embedded MXM GPU Modules features advanced NVIDIA Quadro GPU with NVIDIA Pascal™ Architecture technology in MXM 3.1 Type A form factor. The EGX-MXM-P2000 has 768 NVIDIA CUDA cores . . .

  • EGX-MXM-P1000

    Key Features

    • MXM 3.1 Type A Form Factor
    • 512 NVIDIA CUDA Cores
    • 1.8 TFLOPS SP Performance
    • 4GB GDDR5 Memory
    • 96GB/s Memory Bandwidth
    • Supports Up to 4 FHD Displays

    Quick Overview

    The EGX-MXM-P1000 features advanced NVIDIA Quadro GPU with NVIDIA Pascal™ Architecture technology in MXM 3.1 Type A form factor. The EGX-MXM-P1000 has 512 NVIDIA CUDA cores and a peak single-precision . . .

  • NEON-i2000

    Key Features

    • Intel Movidius Myriad X VPU
    • Intel Atom x5-E3930 CPU
    • Up to 5 MP Image Resolution
    • Four Type Colour Sensors
    • DIO, Serial & LAN Connectivity
    • Micro SD For External Storage

    Quick Overview

    ADLINK’s NEON-i2000 series is an industrial camera family that support Intel® Movidius™ Myriad™ X VPU and a series image sensors that provide users the flexibility to cover many different applications. . . .