Static random-access memory (SRAM) has become such a well-established memory that it is now perceived as off-the-shelf “plumbing,” but Marvell Technology’s latest custom SRAM aims to demonstrate how the incumbent memory has a role to play in artificial-intelligence data centers.

Claiming it to be the industry’s first 2-nm custom SRAM, Marvell said it is designed to enhance memory hierarchy performance within accelerated infrastructure and boost the performance of custom XPUs and devices powering cloud data centers and AI clusters by delivering up to 6 Gb of high-speed memory. It also significantly reduces memory power consumption and die area at comparable densities, the company said.

Marvell’s SRAM consumes up to 66% less power than standard on-chip SRAM at equivalent densities, while operating at up to 3.75 GHz. Power has become a critical metric for AI clusters and data centers looking to manage their energy footprint and effectively cool components.

In a briefing with EE Times, Darren Anand, Marvell’s lead memory architect, said the company has been focusing a lot on optimizing SRAM for AI and machine-learning applications. “We have a lot of synergy with some of the packaging and custom HBM work that we’re doing where we can open up more die area on the XPU for compute.”

By: DocMemory
Copyright © 2023 CST, Inc. All Rights Reserved