Per Marketwired, 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 compared with the latest GPUs. The board, which runs TeraDeep’s deep learning acceleration technology, TD Accel™, is a key component in the company’s first AI appliance. AI appliances are expected to help bring about the development of “AI Cities,” an extension of “Smart Cities.”
“We found that our technologies are a highly effective match for on-premises appliances used in security and safety applications,” said Didier Lacroix, TeraDeep’s CEO. “We are delighted at the level of performance our close partners Xilinx and Micron have delivered to our first board. With our new market focus, we expect our collaboration to intensify.”

Read more at Marketwired.