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June 2026: Monthly average compute price of NVIDIA's RTX 5090
kalshi

June 2026: Monthly average compute price of NVIDIA's RTX 5090

Volume:
$45,927

Above $0.50

 - Kalshi

Above $0.50 - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 30, 2026

Closed: Jun 30, 5:35 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Above $0.50

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,695
N/A
N/A
$579
Settled
Yes
kalshi

Above $1.00

View
0%
Yes 0¢No 100¢
100¢
N/A
$16,346
N/A
N/A
$8,710
Settled
No
kalshi

Above $0.75

View
0%
Yes 0¢No 100¢
100¢
N/A
$12,636
N/A
N/A
$3,002
Settled
No
kalshi

Above $1.25

View
0%
Yes 0¢No 100¢
100¢
N/A
$5,740
N/A
N/A
$3,348
Settled
No
kalshi

Above $1.75

View
0%
Yes 0¢No 100¢
100¢
N/A
$4,194
N/A
N/A
$1,086
Settled
No
kalshi

Above $2.00

View
0%
Yes 0¢No 100¢
100¢
N/A
$3,218
N/A
N/A
$2,108
Settled
No
kalshi

Above $1.50

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,099
N/A
N/A
$1,044
Settled
No
Total markets: 7

Description

This event tracks the rental pricing of NVIDIA's RTX 5090 GPU compute capacity during June 2026. The market measures the average hourly cost to rent compute resources powered by this consumer-grade graphics processor, reflecting demand and supply dynamics in the GPU rental market.

Kalshi

Resolution is determined by the arithmetic mean of hourly compute rental rates for the NVIDIA RTX 5090 throughout June 2026, as reported by Ornn and expressed in USD, rounded to two decimal places. The underlying data is finalized at month-end; any revisions made after expiration are disregarded. Each threshold ($0.50, $0.75, $1.00, $1.25, $1.50, $1.75, $2.00 per hour) represents a separate resolution criterion, with affirmative resolution occurring if the monthly average exceeds the specified threshold.

Frequently asked questions

On Kalshi, the RTX 5090 compute pricing market dashboard tracks real-time odds and historical price movements for the monthly average compute cost of NVIDIA's flagship RTX 5090 GPU during June 2026. The interface displays current market sentiment through live odds, 24-hour trading volume of $8,202, and cumulative volume of $45,927 across all traders participating in this market. This allows you to monitor how the prediction community is pricing expectations around RTX 5090 compute accessibility and cost trends as we approach the resolution date.

Prediction market odds reflect crowdsourced expectations from traders with real money at stake, often diverging meaningfully from published analyst forecasts. While traditional analysts may rely on historical pricing models and supply-chain assumptions, this market aggregates live information and trader conviction about RTX 5090 compute pricing. Comparing the current odds to consensus analyst views can reveal whether the market is pricing in more optimistic or pessimistic scenarios around GPU availability, demand, and NVIDIA's pricing strategy by mid-2026.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing different price ranges for RTX 5090 compute costs. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The odds update in real time as new trades execute, with the current market price reflecting the marginal trader's view. Liquidity and trading volume influence how tightly prices cluster around fair value, and wider spreads may appear during low-activity periods.

This market resolves around Jul 1, 2026, once the June 2026 monthly average compute price for the RTX 5090 is verifiable from credible public sources. The outcome is determined by the actual pricing data published by NVIDIA or independent hardware retailers during that period. Traders' positions settle based on which price bracket the verified average falls into, with payouts distributed accordingly to those who correctly predicted the range.

Key catalysts include NVIDIA's official RTX 5090 launch announcements, competitive GPU releases from AMD or other manufacturers, semiconductor supply-chain disruptions, and macroeconomic shifts affecting enterprise compute demand. Earnings calls and product roadmap updates from NVIDIA can shift expectations around pricing strategy. Additionally, data-center utilization trends, AI workload growth, and changes in GPU availability will influence trader sentiment about whether compute costs will rise, fall, or stabilize by June 2026.