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Amazon raises GPU rental prices on AWS as AI compute demand stays tight

Yahoo Finance AI23h ago2 min read

Key takeaway

Amazon is raising prices for GPU rental capacity on AWS as of July 1, marking the second price increase in six months and reflecting continued tight supply for AI computing resources. The move tests whether customers will pay more for cloud-based AI compute or seek cheaper alternatives, with implications for AWS margins and the broader cloud market's ability to monetize AI infrastructure.

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3 Key Points

  • What happened

    Amazon Web Services announced new pricing for EC2 Capacity Blocks for machine learning, effective July 1, with hourly rates per accelerator ranging from $5.191 for P5 in U.S. regions to $14.04 for P6-B300. The company said reservation prices are updated periodically based on supply and demand, with the last increase occurring in January.

  • Why it matters

    The price increases suggest that demand for AI computing power remains tight across key cloud regions, signaling that Nvidia-based GPU compute is still a scarce resource. Higher AWS GPU pricing could support cloud revenue and margins if demand holds, but customers may respond by shifting workloads to cheaper internal chips and alternatives.

  • What to watch

    The next key question is whether customers absorb the increases or move more workloads to competing solutions—a measure of how much pricing power AWS actually has in the competitive AI infrastructure market.

FAQ

When do the new AWS GPU prices take effect?
The new EC2 Capacity Blocks for machine learning pricing takes effect July 1.
How much are the new GPU hourly rates?
Hourly rates per accelerator include $14.04 for P6-B300, $12.355 for P6-B200, $5.191 for P5 in U.S. regions, $5.97 for P5e, and $6.865 for P5en in U.S. regions.
When was the last AWS GPU price increase?
The last price increase occurred in January.

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