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.
• IP67 Rated for Outdoor Use.
• NVIDIA® Jetson Xavier™ NX GPU.
• High AI Computing Performance
• 10kV Surge Protection (100 to 240 VAC)
• Features M12 lockable I/Os.
• -30 to +50°C Operating Temp.
The AIE800-904-FL is a fully IP67 rated fanless rugged edge computer designed for outdoor use and is powered by the NVIDIA® Jetson Xavier™ NX GPGPU for high-end AI computing performance.
• NVIDIA® Jetson AGX Xavier™ GPU.
• GPU-Accelerated AI Computing.
• Fanless, Compact & Low Power.
• Supports M.2 NVMe PCIe x4 SSD
• -30°C to 50°C Operating Temp.
• JetPack Supported.
The Axiomtek AIE900-902-FL is a compact and fanless edge AI system with NVIDIA® Jetson AGX Xavier™ series SoM, 32GB 256-Bit LPDDR4x memory onboard and support for Linux based operating systems.
• GPU Expansion Modules
• 8th / 9th Gen Intel Processing
• Hot Swappable Storage Options
• Compact & Fanless Design
• Wide Range High Speed I/O
• Versatile Mounting Methods
• MIL-STD Shock & Vibration
The GP-3000 is a flagship GPU edge computing computer from Cincoze. Powered by an 8th or 9th generation Intel® Xeon® or Core™ i3/i5/i7 CPU along with its exclusive GPU Expansion . . .
• Compact Fanless System
• Deep Learning Acceleration
• NVIDIA® Jetson Xavier™ NX
• 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-211-JNX Edge AI Platform integrates NVIDIA® Jetson Xavier™ NX to accelerate deep learning workloads for object detection, recognition and classification.
• AI-enabled Embedded NVR
• Deep Learning Acceleration
• NVIDIA® Jetson Xavier™ NX
• 8 x PoE For IP Cameras
• 16GB eMMC 5.1 Storage
• 12V DC Input / AC-DC Board
To deliver Artificial Intelligence (AI) at the edge, ADLINK’s DLAP-301-JNX Edge AI-enabled Embedded NVR integrates NVIDIA® Jetson Xavier™ NX to accelerate deep learning workloads for object detection, recognition and classification.
• Compact Fanless System
• Deep Learning Acceleration
• NVIDIA® Jetson Nano™
• Up to 4GB Memory Supported
• 16GB eMMC Storage
• -20°C to 70°C Operating Temp
To deliver Artificial Intelligence (AI) at the edge, ADLINK’s DLAP-211-Nano Edge Inference Platform integrates NVIDIA® Jetson Nano™ to accelerate deep learning workloads for object detection, recognition and classification.
• AI-enabled Embedded NVR
• Deep Learning Acceleration
• NVIDIA® Jetson Nano™
• 8 x PoE For IP Cameras
• 16GB eMMC Storage
• 12V DC Input / AC-DC Board
To deliver Artificial Intelligence (AI) at the edge, ADLINK’s DLAP-301-Nano Edge AI-enabled Embedded NVR integrates NVIDIA® Jetson Nano™ to accelerate deep learning workloads for object detection, recognition and classification.
• Compact Fanless System
• Deep Learning Acceleration
• NVIDIA® Jetson AGX Xavier™
• 32GB Onboard Memory
• 32GB eMMC Storage
• 24V DC Input
To deliver Artificial Intelligence (AI) at the edge, ADLINK’s DLAP-301-Nano Edge AI platform integrates NVIDIA® Jetson AGX Xavier™ to accelerate deep learning workloads for object detection, recognition and classification.
• MXM 3.1 Type B Form Factor
• 3072 NVIDIA CUDA Cores
• 9.4 TFLOPS peak FP Performance
• 16GB GDDR6 Memory (256-bit)
• 448GB/s Memory Bandwidth
• 110W Maximum Power
The EGX-MXM-RTX5000 module features advanced NVIDIA® Turing™ GPU technology in MXM 3.1 Type B+ form factor. It’s compact, slim and reliable design makes it suitable for mission critical environment. EGX-MXM-RTX5000 . . .
• MXM 3.1 Type B Form Factor
• 1920 NVIDIA CUDA Cores
• 5.3 TFLOPS peak FP Performance
• 6GB GDDR6 Memory (192-bit)
• 336GB/s Memory Bandwidth
• 80W Maximum Power
The EGX-MXM-RTX3000 module features advanced NVIDIA® Turing™ GPU technology in MXM 3.1 Type B form factor. It’s compact, slim and reliable design makes it suitable for mission critical environment. With . . .
• MXM 3.1 Type A Form Factor
• 896 NVIDIA CUDA Cores
• 2.6 TFLOPS peak FP32 Performance
• 4GB GDDR6 Memory (128-bit)
• 192GB/s Memory Bandwidth
• 50W Maximum Power
The EGX-MXM-T1000 module features advanced NVIDIA® Turing™ GPU technology in MXM 3.1 Type A form factor. It’s compact, slim and reliable design makes it suitable for mission critical environment. EGX-MXM-T1000 . . .
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