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.
• 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
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.
• 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
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, . . .
• 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
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.
• 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
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 . . .
• 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
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 . . .
• 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
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 . . .
• JetsonTM TX2 / JetsonTM Xavier NX
• Up to 5 MP Image Resolution
• Four Type Colour Sensors
• DIO, Serial & LAN Connectivity
• Micro SD For External Storage
• IP67 Certified
ADLINK’s NEON-2000 Series of the NVIDIA® Jetson™-based industrial AI cameras integrate the Jetson™ Xavier NX or Jetson™ TX2, an image sensor, an optimized OS, and broad I/O for vision applications . . .
• 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 . . .
• Movidius™ Myriad™ X VPU
• Intel Atom® E3930 CPU
• Up to 5 MP Image Resolution
• FPGA-based Digital I/O
• Four Type Colour Sensors
• DIO, Serial & LAN Connectivity
• Micro SD For External Storage
ADLINK’s NEON-1000-MDX Series of industrial AI smart cameras equips the Intel Atom® E3930 CPU and Movidius™ Myriad™ X VPU and a range of image sensors, providing users the flexibility to . . .
• 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 ROScube-X Series 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.
Copyright Steatite Ltd / 2021 / All Rights Reserved
