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 ...

“AI chips commonly employ SRAM memory as buffers for their reliability and speed, which contribute to high performance. However, SRAM is expensive and demands significant area and energy consumption.

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 ...

A recent report explores how new non-volatile memories will play in monetizing AI, leading to significant revenue growth for ...

Memory has become an increasingly vital ingredient of the ultra-low-power Internet of Things (IoT) chip designs, and that’s apparent from Nordic Semiconductor’s acquisition of low-voltage embedded ...

RAM consists of a grid of memory cells, each capable of storing a small amount of data, typically one bit (binary digit) or a few bits. These cells are organized into rows and columns, forming a ...