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 ...

SANTA CLARA, Calif., June 17, 2025 /PRNewswire/ -- Marvell Technology, Inc. (NASDAQ: MRVL), a leader in data infrastructure semiconductor solutions expanded its custom technology platform with the ...

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 ...

Today's system-on-a-chip (SoC) designers face a myriad of challenges, not the least of which is shrinking the die size when memory dominates chip area and cost. And with each subsequent generation of ...

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 ...