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Will the monthly average compute price of NVIDIA's RTX 5090 be above $0.25 in August 2026?

99%chance
Amount

$

You will be redirected to the platform to complete this trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
MUI X License key version mismatch
Total markets: 8

Description

This event tracks the pricing of GPU compute resources for NVIDIA's RTX 5090 graphics card during August 2026. The resolution depends on whether the average hourly rental or usage price for this compute resource exceeds various price thresholds, reflecting market demand and supply dynamics for high-end consumer GPU computing power.

Kalshi

Resolution is determined by the arithmetic mean of hourly compute prices for the NVIDIA RTX 5090 throughout August 2026, as reported by Ornn and expressed in USD, rounded to two decimal places. Each outcome resolves to Yes if the monthly average exceeds its specified threshold ($0.50, $0.75, $1.00, $1.25, $1.50, $1.75, or $2.00 per hour). Data revisions made after the expiration of August 2026 are not incorporated into the final calculation.

Frequently asked questions

On Kalshi, the RTX 5090 compute price market dashboard displays real-time odds and historical price movements for this prediction market. The interface shows current trader sentiment on whether NVIDIA's flagship GPU will trade above a specific compute pricing threshold in August 2026. You can monitor 24-hour volume of $5,444 and total market activity to gauge liquidity and engagement. The dashboard updates continuously as traders buy and sell shares, reflecting evolving expectations about GPU pricing dynamics in the coming months. This live tracking helps you assess market conviction and timing for entry or exit decisions.

Prediction market odds on this market reflect real-money trader expectations, which often diverge from published analyst reports on GPU pricing. While traditional forecasters rely on supply-chain models and historical trends, traders here incorporate breaking news, earnings calls, and competitive announcements instantly. The current odds suggest traders are pricing in specific assumptions about NVIDIA's cost structure and market positioning. Comparing these live odds to consensus analyst views can reveal where the market sees upside or downside risk that mainstream research may have missed. Such gaps often signal emerging catalysts or overlooked data points worth investigating further.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks on binary outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The top outcome—whether the monthly average compute price will exceed $0.75 in August 2026—trades at 99.0% implied probability. Prices move as new information arrives and trader conviction shifts. Each share represents a fractional claim on the outcome, and settlement occurs once the event resolves. This transparent pricing model allows you to enter or exit at any time during the market's lifespan, with no hidden spreads or intermediary markups.

This market resolves around Sep 1, 2026, once August 2026 concludes and the monthly average compute price for NVIDIA's RTX 5090 can be verified. The outcome is determined by comparing the actual average price against the specified threshold during that calendar month. Resolution is confirmed once the event is verifiable from credible public reporting and data sources. Traders who backed the correct outcome receive their winnings proportionally, while incorrect positions expire worthless. The exact timing of payout may depend on data availability and platform processing, typically within days of month-end.

Several catalysts could shift odds significantly before this market settles. NVIDIA earnings announcements and product roadmap updates directly influence GPU pricing expectations. Broader semiconductor supply-chain disruptions, geopolitical trade tensions, or competing GPU launches from AMD or Intel could alter cost dynamics. Cryptocurrency mining demand spikes or AI workload trends may also pressure compute pricing upward or downward. Macroeconomic shifts affecting data-center spending and cloud infrastructure investment are key wildcards. Real-time monitoring of tech news, NVIDIA guidance, and competitor announcements will help you anticipate major repricing events and adjust your position accordingly.