TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 12, 5:00 PM EST
Kalshi
The computational processing value of a graphics processing unit model is evaluated on June 12, 2026.
If the value of RTX 5090 compute per hour is above 1.08 on Jun 12, 2026, then the market resolves to Yes.
Prediction market odds on Kalshi reflect real-money trader conviction and often incorporate faster-moving sentiment than traditional analyst reports. While equity research teams publish periodic price targets and GPU roadmap assessments, prediction markets aggregate dispersed information from hardware enthusiasts, supply-chain observers, and financial traders in real time. Comparing market-implied probabilities to published analyst consensus can reveal where the crowd expects surprises in NVIDIA's compute GPU pricing strategy or competitive positioning over the next eighteen months.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, this event is priced as a binary contract where traders buy or sell shares corresponding to the "Up" or "Down" outcome for RTX 5090 compute pricing by June 2026. Share prices range from $0 to $1, with the implied probability derived from the current bid-ask spread. Traders can enter positions at any time before resolution, and the contract settles based on verified pricing data for NVIDIA's official RTX 5090 compute SKU at the specified deadline.
The market resolves on Jun 12, 2026. Resolution is determined by comparing the official compute pricing of NVIDIA's RTX 5090 at that time to a reference baseline established at market creation. The outcome hinges on whether the listed price has moved upward or downward relative to that baseline. Traders should monitor NVIDIA's official product announcements, pricing pages, and any official communications regarding RTX 5090 compute SKU pricing as the deadline approaches.
Key catalysts include NVIDIA's official RTX 5090 launch date and initial pricing announcement, competitive GPU releases from AMD or Intel that may pressure or support pricing, data center demand trends and AI infrastructure spending cycles, supply chain constraints or manufacturing cost changes, and macroeconomic shifts affecting enterprise hardware budgets. Additionally, NVIDIA earnings calls, product roadmap disclosures, and any strategic pricing adjustments in response to market competition could significantly influence trader expectations about where compute GPU prices will settle by mid-2026.