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.
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.
Power efficient AI-at-the-edge inference systems, boards and modules based on Nvidia Jetson TX2, Nano & Xavier accelerators.
Power efficient AI-at-the-edge inference systems and add-on cards based on Intel Movidius accelerators.
High performance AI inference systems based on Nvidia GeForce and Quadro graphics cards and latest generation Intel CPUs.
• 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; . . .
• 8 x Intel Myriad X VPUs
• <30W Power Consumption
• OpenVINO Toolkit Support
• Multi Card Support Per System
• Low Latency
• AI Edge Computing Ready
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.
• 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
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.
• 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
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.