NovuMind Awarded Patent for Disruptive AI Chip

Native Tensor Processor is an Industry First, Providing
Dramatic Performance Advantages for Deep Neural Networks

Santa Clara, CA, USA, October 1, 2018 – NovuMind Inc., a leading innovator in full-stack Artificial Intelligence technologies, announced today that it has been awarded a US Patent for the novel design of its NovuTensor AI chip. NovuTensor is purpose-built for AI inferencing, with breakthrough performance-power ratios that make it ideal for deployment in embedded applications and edge servers.

“This patent validates the unique, domain-specific architecture of our NovuTensor chip,” said NovuMind’s founder, Dr. Ren Wu. “We have designed NovuTensor to run convolutional neural network AI models with unsurpassed speed and efficiency. We have taken a disruptive approach, with an architecture that performs 3D tensor computations natively. This gives NovuTensor a huge performance advantage over conventional architectures, which are designed around 2D matrix operations and incur extra overhead when they have to unfold tensors into a series of matrices and perform a series of matrix multiplications.”

US Patent No. 10,073,816, “Native Tensor Processor and Partitioning of Tensor Contractions,” was issued on Sep. 11, 2018.  NovuMind has numerous other patent applications pending.

Dr. Wu further commented on the state of the AI industry. “With advances in deep learning models and chips that can run these models at the speed of silicon, it is now possible to deploy AI at scale, at the network edge. We are excited to be part of this technology revolution, which will bring all kinds of new solutions that will improve peoples’ lives.

About NovuMind

NovuMind helps companies put the power of AI into their products. The NovuTensor chip, along with a full stack of AI solutions support, enables OEMs to embed deep learning inference capability, even in applications where power or network access are limited. Led by AI industry pioneer Ren Wu, the NovuMind team has expertise in machine learning, chip design, and high-performance computing. The company’s headquarters and R&D are located in Santa Clara CA, with additional offices in Beijing and Guangzhou, China. For more information, please visit us at: