NVIDIA says AI memory is getting scarcer and pricier
Why it matters
If you run or buy AI systems, memory prices push your costs up, and software efficiency now decides how much you pay.
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How much of our AI spending is driven by memory limits, and where could we use less?
What happened
NVIDIA says GPU memory is under growing strain as bigger AI systems, extended inputs and task-running assistants demand more of it, while supply tightens and prices rise. Its answer is to design chips, networking, storage and software together so each byte of memory does more work.
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The context Last NVIDIA story: NVIDIA's AI that reads text, images and video can now run on AWS (30 Oct) · 14 NVIDIA stories in the last 30 days
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