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.
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.
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.
Available in 2 variations
Available in 2 variations
Available in 2 variations
Available in 2 variations
Available in 2 variations
Available in 2 variations
Available in 2 variations
Available in 2 variations
Fanless Hailo-8 Edge AI Vision NXP i.MX8 Computer with Dual GbE
Diamond Systems
Available in 5 variations
Available in 3 variations
Forecr
Available in 5 variations
Available in 4 variations
Nvidia Xavier NX Carrier Board
Available in 2 variations
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.
Specialized smart factories rely on Things Embedded for industrial AI computing platforms to adapt from human intervention to complete automation.
Easily accessible AI-based techniques support a pioneering medical technology company with custom video capture cards for endoscopy scoping and biopsy.
Our IP67 rugged GPU computers integrated with NVIDIA Jetson system-on-modules make light work of handling construction machinery's computer vision tasks.
Hailo’s revolutionary edge AI accelerator is optimized for deep-learning tasks with high-performance computing capabilities and large amounts of on-chip memory.
Read our guide on the basics of machine learning, deep learning, supervised and unsupervised learning, reinforcement learning, inferencing, perception, and sensor fusion.
Machine vision at the edge requires a large amount of inference PCs which can cause network lag. Bandwidth can be saved with device sequencing or on/off switching capabilities.
AI in edge computing brings many benefits over traditional cloud-based AI, including improved reliability, lower latency, and reduced data costs.
Tell us about your application and a member of the team will get right back to you.