TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 25, 4:00 PM EST
Kalshi
This set of markets tracks potential future pricing trends for NVIDIA A100 computing power, allowing participants to speculate on whether hourly rates will surpass various thresholds by a specific date. The outcomes depend on actual market data from a defined source at a set time, reflecting broader trends in AI compute demand and pricing dynamics.
All markets resolve based on the NVIDIA A100 compute price per hour at 4 PM ET on September 25, 2026, as reported by Ornn (https://dashboard.ornnai.com/). If Ornn does not publish data for that exact date and time, the most recent available price before expiration will be used. Post-expiration revisions to the data are ignored. All prices are evaluated in USD and rounded to two decimal places. Each market has a specific threshold: if the reported price exceeds the threshold (e.g., $0.30, $0.40, etc.), the corresponding market resolves to Yes; otherwise, it resolves to No. The structure allows multiple thresholds to be assessed simultaneously, each operating under the same data verification and resolution framework.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders actively set prices through continuous bidding and asking, which determines the current implied probability. The market price adjusts based on order book depth, recent trades, and overall volume of $7,919 in the last 24 hours. This dynamic pricing captures collective trader expectations about the future hourly price of A100 compute resources.
This market resolves around Sep 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final hourly price will be determined by authoritative market data sources at that specific time, closing all positions based on the actual observed value.
Key signals include official announcements from NVIDIA about production or pricing changes, shifts in AI industry demand, regulatory updates affecting data center operations, and macroeconomic factors influencing compute costs. Any unexpected surge or dip in related technology markets could also cause rapid repricing in this market as traders adjust their expectations ahead of Sep 25, 2026.