LinkedIn says it won't be spending big on AI hardware this year — but it has a good reason why
- LinkedIn will hold GPU investment and its compute and storage footprint flat rather than expanding its AI data centers
- The company says it roughly doubled the efficiency of its existing GPUs in six months through accumulated improvements to utilization, model distillation, and workload allocation, not a single breakthrough
- This makes it an exception to the rule under owner Microsoft's umbrella
LinkedIn has revealed it does not plan to spend aggressively on expanding its AI data centers over its next fiscal year - instead keeping GPU investment flat and holding its compute and storage footprint roughly where it is.
The stated reason is not restraint for its own sake: the company says it has found ways to get about twice as much out of its existing GPUs over the past six months and intends to spend that headroom on new features rather than new hardware.
Speaking to Wired, Erran Berger,...
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