Eta Compute’s TENSAI Flow and neural network compiler helps developers accelerate time-to-design, giving them an edge to bring innovative, intelligent products to market quickly.
WESTLAKE VILLAGE, Calif., August 4, 2020 – Eta Compute Inc., a company dedicated to delivering machine learning to low power IoT and edge devices using its revolutionary TENSAI® Platform, announced its TENSAI® Flow software. The software suite complements its existing development resources and enables seamless design from concept to firmware, speeding the creation of machine learning applications in IoT and low power edge devices.
“Neural network and embedded software designers are seeking practical ways to make developing machine learning for edge applications less frustrating and time-consuming,” said Ted Tewksbury, CEO of Eta Compute. “With TENSAI Flow, Eta Compute addresses every aspect of designing and building a machine learning application for IoT and low power edge devices. Now, designers can optimize neural networks by reducing memory size, the number of operations, and power consumption, and embedded software designers can reduce the complexities of adding AI to embedded edge devices, saving months of development time.”
Eta Compute’s TENSAI Flow software de-risks development by quickly confirming feasibility and proof of concept. TENSAI Flow enables seamless development for machine learning applications in IoT and low power edge devices. It includes a neural network compiler, a neural network zoo, and middleware comprising FreeRTOS, HAL and frameworks for sensors, as well as IoT/cloud enablement.
“In order to best unlock the benefits of TinyML we need highly optimized hardware and algorithms. Eta Compute’s TENSAI provides an ideal combination of highly efficient ML hardware, coupled with an optimized neural network compiler,” says Zach Shelby, CEO of Edge Impulse. “Together with Edge Impulse and the TENSAI Sensor Board this is the best possible solution to achieve extremely low-power ML applications.”
The TENSAI Flow exclusive