US Edge AI Computers
Industrial AI Inference Platforms & GPU Training Servers Built For The Edge
Our Edge AI Computers bring advanced artificial intelligence capabilities to the edge of the network. These powerful GPU edge computing systems enable real-time processing, analytics, and decision-making, unlocking the potential of AI applications in various industries. By bringing AI capabilities closer to the data source, these industrial-grade GPU computers enhance efficiency, reduce network bandwidth requirements, and enable intelligent decision-making at the edge.
AI Inference Platforms
Our AI Edge Gateways, known as AI Inference Platforms, serve as the connection point between edge devices and the cloud or data center. They enable local processing and AI inference, reducing latency and enabling real-time decision-making at the edge. With their compact form factor and rugged specifications, our AI Edge Gateways find applications in smart cities, transportation, retail, healthcare, and industrial automation. They are ideal for tasks such as video analytics, sensor data processing, and intelligent edge device management.
Rugged Edge AI Servers
Our Rugged AI Edge Servers, on the other hand, provide high-performance server-grade GPU computing power at the edge. Equipped with specialized processors, GPUs, and AI accelerators, and industrial-grade components protected on embedded roadmaps, these Edge AI Servers can handle complex AI workloads and advanced algorithms locally. GPU Edge Servers find applications in industries such as manufacturing, energy, agriculture, and telecommunications. They enable on-site AI training, real-time analytics, and decision-making, reducing the need for data transmission to the cloud and ensuring data privacy and security.
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GPU Edge Computing Solutions
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Display
Performance
Graphics
I/O
Video Capture
Expansion
Storage
Power
Environmental Conditions
Mechanical Properties
- AI Performance: 1.3 TOPS
- SOM: NVIDIA Jetson TX2 NX 4GB
- OS: Linux Ubuntu 18.04
- Display Outputs: 1x HDMI
- Ethernet: 2x GbE LAN [M12]
- USB: 1x USB 3.1 Gen 1 [M12]
- Serial: Optional: 1x RS232 [M12]
- CANbus: 1x Isolated CANbus, M12
- M.2: 1x M.2 M-Key [PCIe x4/SATA] [2280]
- Storage: 16GB eMMC, 1x M.2 SSD, 1x Micro SD
- Power: 9-45V DC Input, M12
- Ignition Sensing: Supports Ignition Control
- Temp: -25°C to 70°C [-13°F to 158°F]
- IP Rating: IP67
- mPCIe: 3x mPCIe [PCIe/USB/SIM]
- CPU: Intel Xeon E Series Coffee Lake, Intel Core 8th Gen Coffee Lake, Intel Core 9th Gen Coffee Lake
- GPU: A2, T4, NVIDIA L4
- AI Performance: 36–485 TOPS
- Memory: 4x DDR4 2133MHz SO-DIMM Slots, 128GB
- OS: Linux, Windows 11
- Display Outputs: 1x Display Port, 1x DVI, 1x VGA
- Ethernet: 2x GbE LAN [RJ45]
- USB: 4x USB 3.1 Gen 1 [Type A], 4x USB 3.1 Gen 2 [Type A]
- Serial: 2x RS232/422/485 [DB9]
- M.2: 1x M.2 B-Key [SIM] [2242], 1x M.2 M-Key [PCIe x4 Gen3] [2280]
- mPCIe: 2x mPCIe [SATA/USB/PCIe]
- PCIe: 2x PCIe [x16 Slot] [x8 Signal] [Gen3], 2x PCIe [x8 Slot] [x4 Signal] [Gen3]
- Storage: 1x M.2 SSD [M-Key 2280, PCIe Gen 3 x4], 2x 2.5" HDD/SSD [SATA], 2x mSATA
- Front Accessible Storage: Front Accessible Storage
- Hot Swappable Storage: Hot Swappable SSD Support
- RAID: RAID 0, RAID 1
- Power: 8-48V DC [Terminal Block]
- Ignition Sensing: Supports Ignition Control
- Temp: -25°C to 60°C [-13°F to 140°F]
- Certification: CE, FCC
- Mounting Options: Wall Mount
- AI Performance: 0.5 TOPS
- SOM: NVIDIA Jetson Nano 4GB
- OS: Linux Ubuntu 18.04
- Display Outputs: 1x HDMI
- Ethernet: 1x GbE LAN [RJ45]
- USB: 2x USB 3.1 Gen 1 [Type A]
- Serial: 1x RS232/422/485 [Terminal Block]
- M.2: 1x M.2 B-Key [PCIe x2/USB 3.0/SATA] [2280/3042/3052], 1x M.2 E-Key [PCIe x1/USB 2.0] [2230], 1x M.2 M-Key [PCIe x4/SATA] [2280]
- Storage: 16GB eMMC, 1x M.2 SSD, 1x Micro SD
- Power: 9-28V DC [Terminal Block]
- Temp: -25°C to 65°C [-13°F to 149°F]
- Certification: CE, FCC
- Mounting Options: Desktop, DIN Mount
AI Innovation & Technology Insights
Our expertise in accelerated computing at the edge addresses the limitations of where traditional systems fail. Our team of edge AI computing design engineers recommends and configures long-lasting solutions which align with your industry and specific application needs. Explore how we assist companies like yours reduce dependency on cloud-based processing and stay updated with the latest industry developments.
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Send us the application, the deployment environment, and the lifecycle expectation. We'll come back with a platform recommendation, a BOM, and a service stack matched to it.