**Trader sentiment for H100 GPU rental prices at end of August 2026 centers on a narrow band between $2.50–$3.00 per hour, reflecting a stabilized market shaped by abundant supply from specialized providers and sustained AI demand.** Recent data shows on-demand rates clustering around $2.19–$3.50 across neo-clouds and marketplaces (e.g., Thunder Compute, Vast.ai, RunPod), while hyperscalers like Azure and AWS command premiums often exceeding $4–$7. This split arises from differing cost structures—neo-clouds leverage efficient operations, spot/preemptible instances, and lower overhead, whereas hyperscalers bundle enterprise SLAs and reserved capacity. Blackwell (B200/GB200) availability has eased some pressure on Hopper-era hardware without fully displacing H100 clusters, which remain cost-effective for many training and inference workloads. Persistent demand from large language model development and fine-tuning supports a price floor near $2.50, while competitive bidding and capacity roll-offs cap upside. With resolution days away, the close probabilities on the two leading outcomes capture this equilibrium of supply competition versus AI-driven utilization.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$2.50-$2.75 42%
$2.75-$3.00 36%
$3.00-$3.25 11%
$3.25+ 9.4%
$31,622 Vol.
$31,622 Vol.
<$2.25
1%
$2.25-$2.50
7%
$2.50-$2.75
42%
$2.75-$3.00
36%
$3.00-$3.25
11%
$3.25+
8%
$2.50-$2.75 42%
$2.75-$3.00 36%
$3.00-$3.25 11%
$3.25+ 9.4%
$31,622 Vol.
$31,622 Vol.
<$2.25
1%
$2.25-$2.50
7%
$2.50-$2.75
42%
$2.75-$3.00
36%
$3.00-$3.25
11%
$3.25+
8%
If the recorded data falls exactly between two brackets, this market will resolve to the higher bracket.
The resolution source for this market is Ornnai.com (ornnai.com), specifically, the H100 Index chart data available at https://dashboard.ornnai.com. The specified finalized daily value shown on the chart will be used for resolution. Daily data will be considered finalized once the following day’s data point is published.
Resolution will occur once the specified data point is finalized. If the relevant data is not finalized by the end of the 7th calendar day after the specified date (ET), this market will resolve according to the latest data available at that time. Revisions made after the relevant figure has been finalized will not be considered.
Market Opened: Jul 30, 2026, 11:27 AM ET
Resolution Source
https://dashboard.ornnai.com/computeResolver
0x69c47De9D...If the recorded data falls exactly between two brackets, this market will resolve to the higher bracket.
The resolution source for this market is Ornnai.com (ornnai.com), specifically, the H100 Index chart data available at https://dashboard.ornnai.com. The specified finalized daily value shown on the chart will be used for resolution. Daily data will be considered finalized once the following day’s data point is published.
Resolution will occur once the specified data point is finalized. If the relevant data is not finalized by the end of the 7th calendar day after the specified date (ET), this market will resolve according to the latest data available at that time. Revisions made after the relevant figure has been finalized will not be considered.
Resolution Source
https://dashboard.ornnai.com/computeResolver
0x69c47De9D...**Trader sentiment for H100 GPU rental prices at end of August 2026 centers on a narrow band between $2.50–$3.00 per hour, reflecting a stabilized market shaped by abundant supply from specialized providers and sustained AI demand.** Recent data shows on-demand rates clustering around $2.19–$3.50 across neo-clouds and marketplaces (e.g., Thunder Compute, Vast.ai, RunPod), while hyperscalers like Azure and AWS command premiums often exceeding $4–$7. This split arises from differing cost structures—neo-clouds leverage efficient operations, spot/preemptible instances, and lower overhead, whereas hyperscalers bundle enterprise SLAs and reserved capacity. Blackwell (B200/GB200) availability has eased some pressure on Hopper-era hardware without fully displacing H100 clusters, which remain cost-effective for many training and inference workloads. Persistent demand from large language model development and fine-tuning supports a price floor near $2.50, while competitive bidding and capacity roll-offs cap upside. With resolution days away, the close probabilities on the two leading outcomes capture this equilibrium of supply competition versus AI-driven utilization.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated
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