TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 18, 4:00 PM EST
Kalshi
This tracks the hourly cost of renting an NVIDIA A100 computing unit on a specific date, reflecting potential trends in cloud computing expenses. The outcome depends on whether the price meets or exceeds various thresholds, offering insight into economic conditions affecting AI and high-performance computing infrastructure.
All markets resolve based on the NVIDIA A100 compute price per hour at 4 PM ET on September 18, 2026, as reported by Ornn. If Ornn does not publish data for that exact time, the most recent available price before the expiration will be used. Post-expiration revisions to the data are ignored, and all prices are considered in USD, rounded to two decimal places. Each market has a specific threshold; if the price meets or exceeds that threshold, the market resolves to Yes, otherwise No.
Odds from this market often reflect a blend of immediate market sentiment and short-term expectations, which can diverge from longer-term analyst forecasts. While analysts may consider broader economic indicators and company performance trends, traders in this market react quickly to news, inventory data, and supply-chain updates, sometimes leading to more volatile or contrarian pricing.
This market resolves around Sep 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final price will be determined by authoritative financial data sources tracking the actual hourly price of the A100 on that specific date, ensuring an objective and transparent resolution process.
Several factors could shift expectations in this market before it resolves on Sep 18, 2026. Announcements about major tech deployments, supply chain updates, or energy cost changes for A100 processing power can influence trader sentiment. Broader cryptocurrency market volatility, regulatory news impacting AI compute usage, and unexpected macroeconomic shifts may also affect pricing. Any data indicating stronger or weaker demand for GPU hours will be closely watched by participants.