TOTAL VOLUME:

$116.8b

24H VOL:

$76,391,397

24H TRANSACTIONS:

1,362,287,844

OPEN INTEREST:

$1,156,734,076

338,433

Markets across

33,231

events

MATCHED EVENTS:

4,219

PLATFORM COVERAGE:

5

Polymarket:

42%

VS.

Kalshi:

58%

Time left: 04d:22h:19m

Will the monthly average compute price of NVIDIA's B200 be above $6.00 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: 9

Description

These markets track the pricing of NVIDIA's B200 GPU compute resources during August 2026. The resolution depends on whether the average hourly rental or usage price for B200 compute capacity exceeds various price thresholds, reflecting market demand and supply dynamics for this high-performance AI accelerator.

Kalshi

Resolution is determined by the arithmetic mean of hourly B200 compute prices reported by Ornn throughout August 2026. Each market resolves Yes if the monthly average exceeds its specified threshold ($4.00, $4.50, $5.00, $5.50, $6.00, $6.50, or $7.00 per hour). The USD iteration of the index is used, with values rounded to two decimal places. Any revisions to underlying price data made after the expiration of August 2026 will not be incorporated into the final resolution calculation.

Frequently asked questions

On Kalshi, the NVIDIA B200 compute pricing market dashboard tracks real-time odds and historical price movements for the monthly average compute cost of NVIDIA's B200 accelerator during August 2026. The interface displays current market sentiment through live odds, 24-hour trading volume of $14,214, and cumulative volume of $64,135. Traders use this data to monitor how the market is pricing different outcome ranges for B200 compute pricing, reflecting collective expectations about GPU pricing trends, demand dynamics, and competitive pressures in the AI accelerator market over the specified period.

Prediction market odds on this market often diverge from traditional analyst forecasts because they aggregate real-time trader conviction rather than point estimates from research reports. While analysts may publish quarterly pricing outlooks or cost-reduction targets for NVIDIA's product line, traders here are directly wagering capital on the actual August 2026 monthly average. This market-based approach can reveal where professional traders see pricing pressure or supply-chain risks that analysts have underweighted, or conversely, where consensus estimates may be too pessimistic about NVIDIA's pricing power.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares corresponding to different price ranges for B200 compute costs. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform displays bid-ask spreads for each outcome, and the current market price reflects the marginal trader's willingness to buy or sell at that level. As new information about NVIDIA's pricing strategy, competitive offerings, or demand signals emerges, traders adjust their positions, moving the odds in real time and creating a dynamic price discovery process.

This market resolves around Sep 1, 2026, once the August 2026 monthly average compute price for NVIDIA's B200 is verifiable from credible public sources. The outcome is determined by the actual pricing data published or confirmed by NVIDIA, industry analysts, or verified pricing databases that track GPU compute costs during that month. Resolution hinges on establishing the precise average price point, which traders will have wagered on across predefined outcome ranges.

Key catalysts include NVIDIA's official pricing announcements, competitive GPU launches from AMD or other manufacturers that pressure B200 pricing, data-center demand shifts, and macroeconomic factors affecting AI infrastructure spending. Supply-chain developments, yield improvements that lower production costs, and shifts in cloud-provider purchasing patterns could all influence the final August 2026 average. Earnings calls, industry conferences, and real-time pricing updates from major cloud providers will likely drive trader positioning as the resolution date approaches.