Oxmiq Completes $35 Million Funding Round to Develop Chip Architecture Aimed at Lowering AI Costs

BlockBeats News, July 1st, according to Reuters, Oxmiq announced the completion of a $35 million financing round to develop a chip architecture aimed at reducing the cost of artificial intelligence. The company stated that it will use this round of funding to advance its AI-focused chip design and system architecture development to improve computing efficiency and reduce the overall cost of AI training and inference.

Normally, artificial intelligence systems' computing tasks are divided between the graphics processing unit (GPU) and the central processing unit (CPU). However, Oxmiq plans to integrate these two and a third component, the Tensor Engine, into the same chip design.

The company aims to become the "Arm of the next-generation computing ecosystem." Co-founder Raja Koduri mentioned that Arm provides chip architecture and intellectual property licensing for almost all smartphones globally.

Oxmiq also plans to develop a "Compute Fabric" architecture that integrates multiple chiplets (multiple specialized chips combined into a complete system through modular design) and memory into a single package.

Click on the original article link below to join the BlockBeats · Feishu AI News Channel, monitoring global AI hot topics and news 24/7.