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.
• 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.
• 3 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; . . .
• Intel Arria 10 GX1150 FPGA
• <60W Power Consumption
• Multi Card Support Per System
• Optimised For Deep Learning
• AI Edge Computing Ready
• OpenVINO™ Toolkit Support
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.
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