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

“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.

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 ...

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 ...

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 ...

In a recently published article in IEEE Electron Devices Magazine the authors, I was one of them, looked at the impact of external magnetic fields on spin tunnel torque magnetic random-access memories ...

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 ...

The IT industry, like every other industry we suppose, is in a constant state of dealing with the next bottleneck. It is a perpetual game of Whac-a-Mole – a pessimist might say Sisyphusian at its core ...

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 ...