Leaks suggest that NVIDIA’s future Feynman GPU architecture, expected around 2028, could introduce stacked SRAM memory blocks ...

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 ...

Anita Farokhnejad, DTCO Program Manager and Julien Ryckaert, VP R&D, both at imec, discuss the recent NanoIC pilot line announcement - the release of the N2 P-PDK v1.

Modern artificial intelligence lacks a strong theoretical basis, and so it's often a shrug of the shoulders why it works at all (or, oftentimes, doesn't entirely work). One of the deepest mysteries of ...

This work describing a low power write scheme which reduces SRAM power by using seven – transistor sense-amplifying memory cell. By reducing the bit line swing and amplifying the voltage swing by a ...

This article is part of the Technology Insight series, made possible with funding from Intel. A couple of years back, IDC predicted that by 2025 the average person will interact with connected devices ...