A case study shows how custom memory design can adapt to functional, timing, or layout requirements of a particular SoC.

An increasing percentage of the chip area is consumed by the same amount of SRAM for each node shrink. The problem is not limited to leading-edge AI, as it will eventually impact even small MCUs and ...

GF Securities (Hong Kong) sees on-chip memory as a niche AI inference trend but takes a neutral stance towards AI chipmaker ...

Startup launches “Corsair” AI platform with Digital In-Memory Computing, using on-chip SRAM memory that can produce 30,000 tokens/second at 2 ms/token latency for Llama3 70B in a single rack. Using ...

Experts at the Table — Part 2: Semiconductor Engineering sat down to talk about AI and the latest issues in SRAM with Tony Chan Carusone, chief technology officer at Alphawave Semi; Steve Roddy, chief ...

The era of Big Data and Big Compute is here. Per OpenAI, compute demand by deep learning has been doubling every three months for the last 8 years. Neuromorphic computing with deep neural networks is ...