TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
$
This market tracks the hourly pricing of NVIDIA RTX 5090 compute resources, measuring whether the cost per hour will exceed $0.29 on a specific future date. On Kalshi, the leading outcome—that RTX 5090 compute per hour pricing will be above $0.29 on May 31, 2026—stands at 99.0%. The market resolves according to the actual compute per hour value recorded on May 31, 2026, as the resolution source. Watch for announcements regarding NVIDIA's RTX 5090 availability and pricing structure leading up to May 31, 2026, as these will directly influence where compute costs settle by the resolution date.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, this event is structured as a binary contract: traders bet on whether compute-per-hour pricing will be above or below the $0.54 threshold on May 31, 2026. The current odds reflect 100.0% probability for the above outcome. Traders buy and sell shares representing each side, with prices ranging from $0.00 to $1.00. The market has generated meaningful volume, indicating active debate over whether NVIDIA's RTX 5090 will command premium compute pricing or face competitive pressure by mid-2026.
The market resolves on Jun 1, 2026. Resolution hinges on verifiable data for RTX 5090 compute-per-hour pricing as of May 31, 2026. Traders should monitor official NVIDIA pricing announcements, third-party GPU compute benchmarks, and cloud-provider rate cards in the months leading up to expiration. Any ambiguity in pricing methodology or data availability could affect settlement, so participants should review the full contract terms on Kalshi before trading.
Key catalysts include NVIDIA's official RTX 5090 launch date, specifications, and recommended pricing; competitive GPU releases from AMD or Intel that reshape compute economics; cloud-provider adoption rates and pricing strategies for RTX 5090 instances; AI workload demand trends and whether they sustain premium compute valuations; and macroeconomic factors affecting data-center capex. Supply-chain disruptions, regulatory changes affecting chip exports, or breakthroughs in alternative compute architectures could also shift market expectations about whether $0.54-per-hour pricing proves realistic by May 2026.