TOTAL VOLUME:
$148.4b
24H VOL:
$209,734,046
24H TRANSACTIONS:
2,817,056,367
OPEN INTEREST:
$1,865,708,956
470,731
Markets across
35,423
events
MATCHED EVENTS:
2,810
PLATFORM COVERAGE:
5
Polymarket:
38%
VS.
Kalshi:
62%
$
This event group tracks H100 GPU rental prices at the end of 2026 across two prediction platforms using different pricing indices and bracket structures. Kalshi offers 20 binary markets with ascending price thresholds, while Polymarket uses the Ornn H100 Index with 8 categorical brackets. Both aim to capture market expectations for compute rental costs but employ distinct measurement methodologies and resolution sources.
This market will resolve according to the finalized Ornn H100 Index price for December 31, 2026. 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 is based on the hourly compute price of NVIDIA H100 SXM as reported by Ornn's pricing dashboard in USD. The market uses the official closing value on December 31, 2026, rounded to two decimal places. If no pricing data is available by the expiration date, all price thresholds resolve to No. Historical revisions to the underlying data made after expiration are not considered. Each price threshold independently resolves Yes if the H100 SXM compute price exceeds that specific level by the deadline.
Prediction market odds often provide a unique perspective compared to traditional analyst forecasts. While analysts may rely on modeling and expert opinions, this market reflects the collective wisdom of a diverse group of traders who are incentivized to accurately predict the future price of H100 GPU rentals. Currently, the market’s implied probability distribution differs from some recent reports suggesting a faster decline in GPU prices. This divergence could be due to traders anticipating continued strong demand from AI developers, or a slower ramp-up in GPU supply. Tracking both sources of information provides a more comprehensive view of potential outcomes.
Prices on Polymarket and Kalshi can diverge due to several factors. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform has its own user base, trading dynamics, and liquidity. Differences in market design, such as fees or margin requirements, can also contribute to price discrepancies. Furthermore, the specific markets offered on each platform – Will the Ornn H100 Index be between $3.00 and $3.50 on December 31, 2026? versus Will the H100 SXM compute per hour price be above $3.23 by Dec 31? – frame the prediction in slightly different ways, attracting different types of traders. These variations can lead to temporary price differences, which may converge as Jan 1, 2027 approaches and more information becomes available.
This market resolves around Jan 1, 2027, with the outcome confirmed once the event is verifiable from credible public reporting. The final price of H100 GPU rentals will be determined by averaging prices from leading cloud providers and rental services as reported by industry publications. This ensures a transparent and objective assessment of the market conditions at the time of resolution. Traders should monitor industry news and pricing data leading up to Jan 1, 2027 to stay informed about potential catalysts that could influence the final outcome.
Several signals or events could significantly impact this market. Major announcements from NVIDIA regarding H100 production capacity or new GPU architectures would be key catalysts. Shifts in demand from large AI companies, such as changes in their cloud computing strategies, could also move prices. Geopolitical events impacting supply chains, or unexpected breakthroughs in alternative computing technologies, represent further potential drivers. Finally, macroeconomic factors like interest rates and inflation, which influence capital expenditure, could indirectly affect demand for GPU rentals and thus impact this market.