SiMa.ai Creates a Purpose-Built Machine Learning SoC Platform for Embedded Edge Applications
September 08, 2022
News
The industry's first purpose-built software-centric Machine Learning System-on-Chip platform for the embedded edge, the MLSoC, has started delivering.
The problems with the current state of today's ML-based computer vision applications is that they need more superior processing power, they are challenging to set up, and are not scaleable. The purpose-built platform enables Effortless ML deployment and scaling at the edge. Push-button ML capabilities now make any computer vision application possible, allowing for quick design iterations in minutes and 10x greater performance per watt.
SiMa.ai has selected partners in the industry to deliver the best quality in ML innovations.
Its affiliation are with:
- TSMC
- Synopsys
- Arm
- Allegro
- GUC
- Arteris
"We've seen over a dozen edge processing solutions, and have never seen anything approaching the performance and power efficiency of SiMa.ai's MLSoC platform," said Karl Freund, Founder and Principal Analyst at Cambrian-AI Research. "Their solution is an order of magnitude faster and more energy efficient. So far, they are blowing past their customer's requirements by accelerating the entire vision processing pipeline, not just the ML inferencing portion. Early customers are finding it extremely easy and simple to implement SiMa.ai into their current solutions."
For more information, visit sima.ai.
Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.
He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.
Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.
