Increase model accuracy: Enable transfer learning at the edge via AI Accelerator PCIe card, with no need to for server/cloud interaction for model retraining. Save training time: Optimize models using fewer than 200 images, eliminating the need to start from scratch.

Jan 9, 2024 · Since Intel doesn’t plan a desktop CPU with AI capabilities until later this year, PC makers are turning to chip startups instead –and the future may be in the Lenovo ThinkCentre Neo Ultra,...

The Kinara Ara-2 PCIe AI accelerator card enables high performance, power-efficient AI inference for edge server applications including Generative AI workloads such as Stable Diffusion and LLMs. The KP-2 is powered by four 40 TOPS Ara-2s, rivaling the latest GPU-based inference cards in performance but at the fraction of power and cost.

Jan 26, 2021 · Powerful AI Inference Capability: Support up to 16x Google Edge TPU M.2 modules ; Easy-to-Use Pre-trained AI Models: Google TensorFlow Lite pre-trained ML models can be easily compiled and run on this model ; Easy Installation, Common Expansion Slot: Compatible general PCI Express Gen 3 x16 slot; Stable At High-Loading

Looking for powerful & energy-efficient AI acceleration hardware that doesn't break budgets? Discover our M.2 accelerator and AI accelerator cards.

Through a standard PCIe interface, the Falcon Lite AI Accelerator Card enables legacy devices such as NVRs, Edge AI boxes, Industrial PCs and robots to run video-intensive, mission-critical Edge AI applications such as video analytics, traffic management, access control, and beyond.

Hailo-8 Century AI accelerator cards offer up to 208 TOPS of AI performance, real-time deep neural network inferencing with optimal power.