TOTAL VOLUME:
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24H VOL:
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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: Jul 10, 5:00 PM EST
Kalshi
This event tracks whether the hourly compute cost of NVIDIA's A100 SXM4 GPU will increase or decrease relative to a baseline price of $1.02 by July 10, 2026. GPU pricing in cloud computing markets fluctuates based on supply, demand, and competitive pressures.
If the value of A100 SXM4 compute per hour is above 1.02 on Jul 10, 2026, then the market resolves to Yes.
Prediction market odds often diverge from traditional analyst forecasts because they aggregate real-money bets from a diverse set of traders rather than relying on a small group of experts. While analysts may publish reports on GPU pricing trends and supply-chain factors, this market reflects the aggregated conviction of participants willing to stake capital on their views. Comparing the two can reveal where market participants see opportunities or risks that mainstream research may have overlooked or underweighted.
On Kalshi, this market is priced through a continuous order-book mechanism where buyers and sellers submit bids and offers for each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each side—up or down—fluctuates based on supply and demand, with the spread between bid and ask reflecting real-time uncertainty. Traders can enter or exit positions at any time before resolution, and the market price serves as a live probability estimate of the outcome.
This market resolves around Jul 10, 2026, at which point the outcome will be confirmed based on verified pricing data for the NVIDIA A100 SXM4. The resolution hinges on whether the GPU's cost has moved up or down relative to a reference baseline established at market inception. Once the event is verifiable from credible public sources, the market will settle accordingly, with winning positions paid out in full.
Key catalysts include NVIDIA's product announcements, supply-chain developments affecting GPU availability, competitive pricing moves from AMD or other vendors, and macroeconomic shifts in enterprise spending. Data center demand cycles, AI adoption trends, and changes in manufacturing capacity can all influence pricing. Additionally, shifts in cloud provider purchasing strategies and announcements from major customers may signal shifts in willingness to pay, moving trader expectations and market odds in real time.