AlphaICs, a leading AI fabless semiconductor company that develops edge inference and edge learning technologies, has announced the availability of engineering samples of ‘Gluon’ – an 8 TOPS Edge AI inference co-processor to customers in surveillance, industrial, retail, auto, and Industrial IoT verticals which carries best-in-class FPS/Watt performance.
Gluon will be shipped with a complete (Software Development Kit) SDK that enables easy deployment of neural networks. The advanced edge inference chip delivers the capability for customers to add AI capability in the current X86 / ARM-based systems, resulting in significant cost savings.
Gluon provides the best fps/watt performance in the market for classification and detection Neural Networks – 32 Frames Per Second (FPS)/watt for Yolo-V2, a leading object detection model & 22 Frames Per Second (FPS)/Watt for VGG-19, a leading classification model.
Gluon is currently being sampled for early customers to enable the development of their vision applications. It is engineered for OEMs and solution providers targeting vision market segments, such as surveillance, industrial, retail, Industrial IoT, and edge gateway manufacturers.
To accelerate its market foray into highly demanding silicon markets, AlphaICs has established a channel partner relationship with CBC Co. Ltd, a Japanese enterprise offering video surveillance products for their customers.
Early last year the company raised $8 million to advance the development of Gluon based on the proprietary architecture RAPTM. AlphaICs’ highly scalable and modular architecture uses a specialized Instruction Set Architecture that is specifically optimized for AI.
About AlphaICs:
AlphaICs is a leading AI technology company that develops edge inference and edge learning technologies to enable AI at the edge. AlphaICs has developed a next-generation AI architecture, called Real AI Processor (RAPTM). Architecture provides high performance, low power, and minimal latency, enabling best-in-class edge AI inference processors. RAPTM architecture also supports edge learning to reduce training data requirements, enables auto labeling and continuous learning at the edge. The company is led by a team of technology experts and successful serial entrepreneurs committed to putting forth the true potential of AI at the edge. The company has operations in Milpitas, US, and Bangalore, India. AlphaICs is currently a company in the Silicon Catalyst Incubator.