TOTAL VOLUME:

$116.8b

24H VOL:

$81,408,110

24H TRANSACTIONS:

1,362,287,844

OPEN INTEREST:

$1,158,719,757

338,335

Markets across

33,183

events

MATCHED EVENTS:

4,218

PLATFORM COVERAGE:

5

Polymarket:

42%

VS.

Kalshi:

58%

Time left: 01d:14h:52m

Will the NVIDIA A100 compute per hour price be above $0.75 at 4 PM ET on Aug 28?

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: 10

Description

This event tracks the hourly rental price of NVIDIA A100 GPU compute resources during the week of August 24-28, 2026, resolving based on the price observed on August 28 at 4 PM ET. The price data is sourced from Ornn's compute pricing dashboard and reflects the cost per hour for accessing A100 computational power.

Kalshi

Resolution is based on the NVIDIA A100 compute per hour value as reported by Ornn (https://dashboard.ornnai.com/) on August 28, 2026 at 4 PM ET. If no data is published by Ornn for the specified date and time, the most recently available published data will be used. The USD iteration of the index is used, with values rounded to two decimal places. Revisions to the underlying data made after the expiration time are not accounted for in resolution.

Frequently asked questions

The NVIDIA A100 hourly price market dashboard on Kalshi tracks real-time and historical pricing data for this specialized GPU commodity. Traders monitor hourly price movements, 24-hour volume trends, and order book depth to assess market sentiment around NVIDIA's flagship accelerator chip. The dashboard displays current odds reflecting where traders believe the A100's hourly price will settle during the specified week, along with volume metrics that indicate how actively participants are trading this particular contract.

Prediction market odds often diverge from traditional analyst forecasts because they aggregate real-time trader conviction rather than periodic research reports. On this market, participants continuously update their positions based on supply-chain news, demand signals, and competitive pricing pressures affecting GPU markets. Analyst forecasts tend to reflect longer-term structural views, while prediction markets capture shorter-term sentiment shifts. Comparing the two reveals whether the crowd is pricing in near-term volatility that analysts may have overlooked or underweighted in their models.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell contracts representing different hourly price outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The bid-ask spread reflects the market's confidence in a particular price range; tighter spreads indicate consensus, while wider spreads suggest uncertainty. Traders profit by correctly predicting whether the A100's hourly price will fall into their chosen bracket, with contract values tied directly to the underlying commodity's verified hourly quotation.

This market resolves around Aug 28, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution hinges on the NVIDIA A100's actual hourly price during the specified week, measured against an agreed reference source. Traders' positions settle based on whether the final hourly price falls within their predicted range, with payouts distributed accordingly once the data is locked in and verified.

Several catalysts could shift trader positioning in this market: NVIDIA earnings announcements or forward guidance affecting GPU demand, supply-chain disruptions impacting A100 availability, competitive product launches from AMD or other rivals, data-center spending trends, and macroeconomic shifts influencing enterprise AI investment. Geopolitical developments affecting semiconductor exports, changes in cloud-provider purchasing patterns, and announcements about next-generation chips could also reshape expectations around current-generation A100 pricing. Real-time news on AI adoption rates and GPU utilization across major cloud platforms will likely drive intraweek volatility.