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The article addresses the critical industry shift toward optimizing memory bandwidth per dollar as DRAM costs surge, highlighting strategies like composable memory pools and specialized silicon architectures to overcome hardware bottlenecks. This focus on engineering around memory constraints rather than simply purchasing more capacity defines the current trajectory of AI infrastructure development.

Sources coveringAstera Labs, SiliconANGLE

What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

AI Infra Summit 2026: When You Can’t Buy More Memory, You Get More Out of What You Have

Astera LabsSeptember 17, 20263 min read

The post AI Infra Summit 2026: When You Can’t Buy More Memory, You Get More Out of What You Have appeared first on ASTERA LABS, INC..

Google Fellow Dave Patterson had the line of AI Infra Summit 2026: We’re entering a “memory-centric era.” The pricing backs him up. Analyst Jim Handy of Objective Analysis tells us that DRAM average price increased 250% from 2Q25 to 2Q26. Businesses are slowing down because they simply cannot get enough of it. But everyone walked into the summit already knowing about the shortage. The real…

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