- Blaize secures $106 million in fresh funding from a consortium of investors, including Mercedes Benz and Franklin Templeton.
- The funding comes shortly after Blaize announced plans to go public through a merger with a special purpose acquisition company (SPAC), aiming to raise at least $71 million.
- Blaize specialises in AI chips for edge devices and data centers, with its flagship product, the Blaize 1600, boasting superior power efficiency in running neural networks.
Blaize, a startup specialising in artificial intelligence chips for edge devices and data centers, has secured $106 million in fresh funding from a consortium of investors. This substantial investment comes on the heels of Blaize’s recent plans to go public through a merger with a special purpose acquisition company (SPAC).
Enhancing power efficiency
Blaize has developed the Blaize 1600, a system-on-chip designed to execute neural networks with superior power efficiency compared to existing products.
Central to the chip’s architecture is the concept of graph processing, optimising AI model execution through interconnected nodes and edges.
The Blaize 1600’s specialised design enables it to outperform graphics cards and field-programmable gate arrays (FPGAs) in energy efficiency, making it ideal for edge devices with battery life constraints.
Also read: TSMC unveils A16 chip technology for faster AI chips
Advancing AI computing capabilities
The Blaize 1600 is tailored for graph processing, featuring 16 cores optimised for efficient computation.
In addition to core optimisation, the chip accelerates the processing of intermediate results, enhancing overall performance.
With a capability of managing up to 16 trillion computing operations per second, Blaize empowers AI applications across various domains.
Also read: Meta debuts an ‘all-rounder’ MTAI chip 3 times faster than previous
Market expansion and product development
“Our unique, fully programmable approach makes us ready for the unknown,” said Blaize Chief Executive Officer Dinakar Munagala. “This is ideal in the fast-changing AI applications landscape, de-risking and reducing cost for our customers, scaling from the edge to the data center, with one uniform and complete hardware and software solution.”
Blaize offers its silicon in various forms, including compute modules for edge computing and a PCIe accelerator for data centers.
With plans to expand into automotive, computer vision, and AI segments, Blaize intends to utilise its recent funding to drive product development and commercialisation initiatives.
