What will the NVIDIA A100 hourly price be on August 21?

Prediction market odds often diverge from traditional analyst forecasts because they aggregate real-money bets from traders with direct market exposure, whereas analyst reports rely on models and historical data. In this market, traders are incentivized to price in supply-chain disruptions, demand shifts, and competitive pressures that analysts may lag in capturing. Comparing the implied odds here to published hardware analyst estimates can reveal where the market is pricing in tail risks or opportunities that consensus forecasts have overlooked.

On Kalshi, this market is priced through a continuous order book where traders buy and sell shares representing different hourly price outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices reflect the collective belief of active traders about where the A100 will trade during the resolution window. Higher share prices indicate stronger trader conviction in that outcome; lower prices suggest skepticism. The bid-ask spread tightens as volume increases, making the market more efficient and easier to trade in and out of.

This market resolves around Aug 21, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution hinges on the actual hourly price of the NVIDIA A100 during the specified week, measured against agreed-upon reference sources. Traders holding shares in the correct outcome receive their payout once the price is finalized and verified, while incorrect positions expire worthless.

Major catalysts include NVIDIA earnings announcements, data-center demand reports, competitive GPU launches, and supply-chain updates that affect A100 availability and pricing. Macroeconomic shifts in cloud spending and AI infrastructure investment can also drive significant moves. Geopolitical developments affecting semiconductor exports, shifts in enterprise AI adoption, and changes to NVIDIA's pricing strategy would all influence trader positioning. Real-time news on chip shortages or production capacity announcements could trigger sharp repricing as new information reaches the market.