TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 22, 11:45 AM EST
Kalshi
This market tracks whether the hourly rental price for NVIDIA H100 SXM compute will exceed $1.63 by the end of Q2 2026. On Kalshi, the leading outcome currently stands at 96.0%. Resolution is determined by whether the H100 SXM compute per hour price reaches above $1.83 by June 30, 2026, according to the official pricing data used as the resolution source. Watch for announcements regarding data center capacity expansions and competitive pricing strategies from major cloud providers leading up to the June 30, 2026 resolution date.
Resolution is based on the H100 SXM compute per-hour pricing as reported by Ornn's USD index. Each strike resolves Yes if the hourly price exceeds its specified threshold at any point by June 30, 2026. Data is sourced from Ornn's dashboard with values rounded to two decimal places. If no data is available by the expiration date, all strikes excluding "No data" or "None" resolve to No. Post-expiration revisions to the underlying data are not considered.
Prediction market odds on Kalshi reflect real-money trader conviction about H100 SXM pricing in Q2, often diverging from published analyst reports and vendor guidance. While traditional tech analysts may rely on historical pricing trends and supply-chain models, prediction markets aggregate live information from participants with direct market exposure. Comparing market-implied probabilities to consensus forecasts from semiconductor research firms can reveal where traders expect analyst estimates to miss, particularly regarding GPU utilization rates, cloud provider pricing power, and competitive pressure from alternative accelerators.
The market resolves on Jul 1, 2026. Resolution is determined by the actual hourly pricing of NVIDIA H100 SXM compute at that time, measured against the predefined threshold established in the contract terms. The outcome is binary: either the price meets or exceeds the threshold, or it falls below. Official pricing data from NVIDIA, major cloud providers, or third-party pricing indices will be used to settle the contract. Traders should review the specific resolution criteria on Kalshi to understand which data source and methodology will be applied.
Key catalysts include NVIDIA earnings reports and guidance on H100 supply and demand, announcements of competing accelerators from AMD or other vendors, major cloud provider pricing changes, and macroeconomic shifts affecting enterprise AI spending. Geopolitical developments affecting semiconductor exports, data-center capacity announcements, and shifts in AI model training workloads could also influence pricing. Additionally, changes in GPU utilization rates at major cloud providers and any supply constraints or manufacturing updates from NVIDIA will likely move trader expectations about Q2 pricing levels.