| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Price to Beat: 1.6992 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks whether the market price for NVIDIA H100 compute (the H100 GPU or H100-based compute offerings) will be higher or lower on March 27, 2026 than the baseline defined in the event. It matters because H100 pricing is a barometer for high-end AI compute costs that affect cloud providers, research labs, and enterprises.
The NVIDIA H100 (Hopper architecture) became a core high-performance AI GPU used for training large models and powering cloud instances. Early scarcity, cloud adoption, and subsequent production scaling have all influenced its price; future price direction depends on supply, competing products, and shifts in enterprise and hyperscaler buying patterns.
Prediction market odds summarize market participants' aggregated expectations about the direction of the H100 price by the settlement date. Always consult the event's settlement rules to understand precisely which listed price and comparison baseline determine outcome.
The event's official settlement terms specify the exact price source and baseline (for example, a specified retailer listing, distributor quote, or an index); check the event terms to see which data source and comparison are used.
The market's settlement rules will state whether a single-time snapshot, a daily close, or a multi-day average is used; that timing determines which observed price is compared to the baseline.
Key actors include NVIDIA (pricing and production decisions), major cloud providers and hyperscalers (large purchases and instance pricing), distributors/resellers, and large enterprise or government buyers.
Past price moves were driven by launch-related scarcity and high initial demand, expansions in production and cloud availability that eased prices, secondhand/reseller dynamics, and announcements of competing or successor hardware.
A successor announcement can lower H100 street prices as buyers delay purchases or resellers discount inventory, but the effect depends on performance gaps, availability timing, manufacturer pricing strategy, and ongoing demand for existing H100-equipped systems.