AWS Raises EC2 GPU Capacity Block Prices 20% From July 1

AWS is raising prices on EC2 Capacity Block reservations for Nvidia GPU instances by approximately 20% starting July 1, 2026, as The Information reported. The increase covers P6-B300, P6-B200, P5, P5e, P5en, and P4de instance families, the GPU hardware most commonly used for large-scale AI model training on AWS. New per-accelerator hourly rates include $14.04 for P6-B300 and $12.355 for P6-B200, according to pricing detail reported by Investing.com.

This is the second hike in rapid succession. AWS raised prices on EC2 Capacity Blocks by approximately 15% on Saturday, January 4, 2026, as The Register reported at the time: p5e.48xlarge instances climbed from $34.61 to $39.80 per hour, and p5en.48xlarge from $36.18 to $41.61 per hour. AWS's explanation for both moves has been consistent: "EC2 Capacity Blocks for ML pricing vary based on supply and demand patterns... This price adjustment reflects the supply/demand patterns we expect this quarter." Cloud economist Corey Quinn took a different view after the January hike, per InfoQ's reporting: "This was AWS updating the published base rates on their pricing page... That's a policy decision, not supply/demand."

The demand context that underlies AWS's framing is still real. Amazon has committed approximately $200 billion in capital expenditure for AI infrastructure in 2026, and is reportedly on track to receive around 1 million Nvidia GPU chips by end-2027. AWS revenue grew 28% year-over-year to $37.6 billion in Q1 2026, reflecting how central cloud AI compute has become to Amazon's top line.

What the reporting doesn't give you is whether these increases will hold or reverse, given that Capacity Block pricing is explicitly designed to be dynamic and subject to periodic adjustment. It also leaves open how competing cloud providers will respond, and whether enterprises running sustained GPU-heavy training workloads will look more seriously at alternative accelerator options or rival platforms. For teams with AI training budgets set at the start of 2026, two consecutive increases represent a meaningful shift from the cost assumptions those plans were built on.