NovuMind has been awarded a US Patent for its NovuTensor artificial intelligence (AI) chip, a purpose-built processor for AI inferencing, with reported breakthrough performance-power ratios that make it viable for deployment in embedded applications and edge servers. US Patent No. 10,073,816, "Native Tensor Processor and Partitioning of Tensor Contractions," was issued on Sep. 11, 2018.
NovuTensor is a special-purpose processor for AI inference applications. Designed for convolutional neural networks, it provides 15 tera-ops per second of computation, while consuming 5W. This makes it a suitable neural processing unit for embedded applications that require high performance and low latency, such as object detection for advanced driver assistance systems (ADAS). Reportedly, the processor outperforms other solutions because its design supports native 3D tensor computation on the chip. Less time is wasted moving data around and storing partial results, compared to other designs that rely on a series of 2-dimensional matrix operations.
NovuTensor is available as a chip or on a PCIe short card (174 mm) that can plug into a standard server. It comes with Linux-compatible software tools for development, runtime support and C++ API. For more info, visit NovuMind Inc.