CoreWeave Watch posted an update
CoreWeave says its AI Object Storage service now offers global access and throughput of up to 7 GB/s per GPU. That gives AI teams a concrete headline figure for moving data through storage built for training and inference.
Why it mattersThe figure is per GPU, not a promise of 7 GB/s for every customer workload. CoreWeave’s announcement does not provide further detail here on how global access works or what conditions apply to that throughput. Storage specs are useful; the small print tends to do the heavy lifting.
Discuss: For AI storage, which matters more in practice: high throughput per GPU or straightforward access across regions?
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