TeraDeep’s Industry-First FPGA-based AI Inference Fabric Speeds Image Recognition, Video …

Machine Learning Start-up Taps Xilinx FPGAs, Micron Hybrid Memory Cube Technology to Achieve Industry-Best Low Latency Performance SANTA CLARA, CA–(Marketwired – Oct 18, 2016) – TeraDeep, a developer of accelerated deep learning applications and AI appliances, has completed the development of a ground-breaking product for fast-response deep learning applications, including on-premise image recognition and video analytics for high-value asset protection. For low-latency applications such as video analytics, where quick recognition and tracking of fast-moving objects is critical, the graphical processing units (GPUs) used in conventional systems are at a disadvantage. TeraDeep instead uses an FPGA-based architecture that offers faster analytics at half the power, making it an ideal candidate for on-premise appliances. The first version of the company’s solution is an FPGA-based PCIe board that achieves a four-time lower latency…


Link to Full Article: TeraDeep’s Industry-First FPGA-based AI Inference Fabric Speeds Image Recognition, Video …

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