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ScaleFlux is addressing a critical infrastructure hurdle by developing specialized controller chips to accelerate external DRAM and SSD tiers, directly targeting the memory bandwidth bottlenecks that currently limit GPU efficiency in AI data centers. As workloads shift toward inference and agentic applications requiring massive nearby data capacity, these controllers represent a necessary evolution beyond processor scaling alone.
Source coveringSiliconANGLE
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

ScaleFlux puts controller chips at the heart of AI data pipeline efficiency

SiliconANGLE3 min read

AI data centers have spent heavily on faster accelerators, denser racks and liquid cooling to keep that hardware running. The data pipeline that feeds those processors has not kept up, and expensive compute ends up waiting on memory and storage. That gap is getting more attention as AI infrastructure bottlenecks become central to data center […] The post ScaleFlux puts controller chips at the heart of AI data pipeline efficiency appeared first on SiliconANGLE.

AI data centers have spent heavily on faster accelerators, denser racks and liquid cooling to keep that hardware running. The data pipeline that feeds those processors has not kept up, and expensive compute ends up waiting on memory and storage. That gap is getting more attention as AI infrastructure bottlenecks…

Excerpt shown under the publisher's RSS terms · 50 words · full text and figures are on the publisher's site

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