Roviero’s CortiCore AI IP can be integrated seamlessly with Arm Cortex®-M microcontrollers and high-performance Cortex-A processors, to create edge-based computing devices with integrated machine learning capabilities. There are a plethora of SoC configurations that can be enabled due to configurable options provided by Roviero’s IP. Software plays an important role in creating an edge computing device with machine learning capabilities and Roviero’s software works seamlessly on Arm-based processors, providing end-to-end integration that can reduce time to market for our end customers.
“In talking to our customers we hear two key concerns in integrating AI IP in their SoC solutions – firstly, efforts needed by their team to integrate and maintain the associated runtime software and secondly future proofing the SoC against new requirements after the SoC has been built. Our team has created a solution based on Arm microcontrollers and associated software that addresses these concerns,” said Ravi Setty, Snr Vice President of Engineering at Roviero.
- The CortiCore™ runtime software has been integrated with the Arm host software. With this, customers can instantiate CortiCore™ runtime software with the click of a button. With the instantiation, the application software gets access to the function calls to invoke the AI acceleration and get its response back – simplifying the AI acceleration when run on Arm-based solutions.
- As a CortiCore™ architecture extension Arm microcontrollers are embedded deep into the AI compute. Customers can pick which Arm microcontrollers they need depending on the application space. The runtime software on CortiCore™ seamlessly transfers control to the microcontroller and then back to the AI compute engines. Customers can use their own code on the microcontroller or use Roviero provided functions. The Arm microcontrollers embedded in the IP allow customers to run any custom functions that might be needed in future.
“As more developers look to incorporate AI into IoT devices, simplifying machine learning development is crucial,” said Mohamed Awad, vice president of IoT and Embedded at Arm. “Through joining the Arm AI Partner Program, Roviero will help even more developers create the next generation of edge computing devices.”
“There is no doubt that AI is the technology needed to create the next generation of solutions and experiences. Roviero’s goal is to innovate and work with our customers to implement AI in their SoCs that provides the best in class power, performance, area and programmability. With the high cost of building SoCs, our customers have a dire need to future-proof. By embedding Arm microcontrollers deep into the AI compute, our customers can be confident that they can run any future applications that need AI. We chose Arm because of multiple reasons, including the wide variety of processors for our customers to choose from, ease of integration into our IP and most of all the extensive Arm software ecosystem,” said Deepak Mital, CEO at Roviero.
Roviero is registered trademark of Roviero in the United States and/or other countries. The names of actual companies mentioned herein may be the trademarks of their respective owners.
SOURCE Roviero Inc.
This UrIoTNews article is syndicated fromGoogle News