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.
Power efficient AI-at-the-edge inference systems based on FPGA, Jetson or Movidius accelerators.
Low-latency FPGA & Movidius based Inference acceleration cards for AI edge computing.
• 2 x Intel Myriad X VPU For AI.
• Intel Atom x5-E3930 CPU
• 2 x Gigabit Ethernet Ports
• 2 x RS-232/422/485 Serial Ports
• M.2 A-key Slot Expansion
• -20°C to 50°C Operating Temp
The ITG-100AI can run AI faster, and is well suited for low power consumption applications such as surveillance, retail and transportation. With the advantage of power efficiency and high performance . . .
• Optional Nvidia GPU / Intel VPU / FPGA.
• Full Length Dual Width GPU.
• Brushed Aluminium Panel.
• 8th / 9th Gen Intel Core CPU.
• 32GB DDR4 Memory Supported.
• Compact Embedded Chassis.
• Available For At Least 5 Years.
The Steatite AI-2000 is a high performance graphics/AI deep learning system designed for use in medical imaging, life science, surveillance and object recognition applications.
• GPU Accelerated AI Computing .
• 256 CUDA Cores.
• -30 to +60°C Operating Temp.
• USB 3.1/COM/CAN Support.
• M.2/PCIe/SATA/MicroSD.
• JetPack Supported.
The Axiomtek AIE500-901-FL is a compact and fanless edge AI system with NVIDIA® JETSON TX2 series SoM, 8GB LPDDR4 memory on board and support for Linux based operating systems.
• EN50155 Certified for Rail.
• NVIDIA P1000 to P5000 Support.
• 8 x M12 Ethernet (inc. 4x PoE).
• 24V to 110VDC Input.
• Isolated LAN and Serial.
• Up to 7x Display Outputs.
Powered by an Intel® Core™ i7 CPU and integrated NVIDIA Quadro MXM module, ADLINK’s EN50155 certified AVA-5500 AIoT Platform comes supports up to 32GB DDR4 memory and either Windows or . . .
• 8th / 9th Gen Intel® Core™ CPU
• 4 Channel PoE (IEEE802.3at)
• Dual Swappable 2.5″ HDD Bays
• MXM 3.1 Type A GPU Support
• Triple Independant Display
• Intelligent Remote Monitoring
The Axiomtek eBOX671-521-FL is a GPU computing embedded system that comes with 4 channel PoE and MXM 3.1 Type A slot for applications in machine vision, edge computing, traffic vision, . . .
• ROS2-enabled Robotic Controller
• NVIDIA® Xavier™ AGX
• Field Control I/O Interface
• Optional Expansion Function
• 9V – 36V DC Input
• -20°C to 70°C Operating Temp
The ADLINK M300-Xavier-ROS2 is a fanless robotic controller taking advantage of server-class performance of NVIDIA® Jetson AGX Xavier™ to enable autonomous navigation in automated mobile robots (AMR).
• Compact Fanless System
• Deep Learning Acceleration
• NVIDIA® Jetson™ TX2
• Up to 8GB Memory Supported
• 16GB eMMC Storage
• -20°C to 70°C Operating Temp
To deliver Artificial Intelligence (AI) at the edge, ADLINK’s DLAP-201-JT2 Edge AI Platform integrates NVIDIA® Jetson™ TX2 to accelerate deep learning workloads for object detection, recognition and classification.
• NVIDIA® Jetson™ Nano
• 4GB Memory & 16GB eMMC
• 8 x Gigabit Ethernet/PoE
• HDMI / 8 Bit DIO / COM / USB
• 2.5″ SATA Storage
• 12V DC Power Input
The ADLINK M100-Nano-AINVR is a compact multi-channel AI-enabled NVR powered by NVIDIA® Jetson Nano™, meeting size, weight and power (SWaP) requirements for identity detection and autonomous tracking in public transport . . .
• 8/16 x Intel Myriad X VPUs
• 8th Gen Intel Core Series CPU
• Up to 32GB DDR4 RAM
• Up to 10x Gigabit Ethernet
• 9 to 48V DC Power Input
• Intel OpenVINO Support
The Steatite AI-1000-MV is a high performance industrial computer for visual AI inference applications. Utilising 8 or 16 Intel Movidius Myriad X MA2485 VPUs, the AI-1000-MV is ideal for AI . . .
• IP67 Rated for Outdoor Use.
• 256 CUDA Cores.
• -30 to +60°C Operating Temp.
• AC Input with Isolation.
• M12 LAN with PoE.
• WiFi/BT and Optional 4G.
The eBOX800-900-FL is a fully IP67 rated fanless rugged edge computer designed for outdoor use and is powered by the NVIDIA® Jetson™ TX2 GPGPU for high-end processing performance.
• NVIDIA® JETSON TX2
• AI Computing Performance
• GPU Accelerated Processing
• Compact w/ NVMe Support
• Intelligent Edge Applications
• JetPack Support
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; . . .
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