Competitive landscape, page-2944

More and more and more Edge AI companies continue to emerge. This time EnCharge AI comes out of stealth mode.

Will BRN generate the earnings needed to justify its sky high valuation or will it end up in the tech startup graveyard like so many do?

https://enchargeai.com/2022/12/14/encharge-ai-news-item/

EnCharge AI launches with $21.7M Series A to enable Edge AI at scale

Santa Clara, Calif., December 14, 2022 – EnCharge AI, the company building advanced computers for AI at the Edge, today announced it has raised $21.7M in Series A financing, led by Anzu Partners with participation from AlleyCorp, Scout Ventures, Silicon Catalyst Angels, Schams Ventures, E14 Fund, and Alumni Ventures. EnCharge will leverage the funding to further develop and commercialize its semiconductor hardware and software stack that offers the highest reported efficiency for AI compute to date.

EnCharge’s transformative charge-based in-memory computing technology was originally born out of DARPA and Department of Defense funded R&D and has matured through six years of deep research and validation. This has resulted in demonstrations of AI performance with orders-of-magnitude higher compute efficiency and density than has been achieved by both best-in-class digital accelerators, such as GPUs or TPUs, and recent concepts for beyond-digital accelerators, based on optical or analog computing. Several generations of test chips with end-to-end programmable model execution capability have been demonstrated, resulting in impressive technology advantages:

- Highest efficiency reported for AI compute to date – EnCharge test chips and hardware can achieve over 150 TOPS/W for 8-b compute.

- Seamless integration – EnCharge offers a software stack that supports broad AI models and resolutions, while integrating seamlessly into user frameworks and design flows.

- Lower cost for performance – EnCharge willdeliver platforms that provide over 20x higher performance per Watt and over 14x higher performance per dollar, compared to the best-in-class digital AI accelerators implemented in the most advanced technology nodes.