| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Price to Beat: 1.761 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market tracks the fluctuation in rental or procurement costs for NVIDIA H100 SXM compute units, a critical benchmark for the high-performance computing and AI training market. Tracking these prices provides insight into the supply-demand balance of the global AI infrastructure landscape.
The H100 SXM has been the industry standard for large language model training since its release, driving significant demand across cloud service providers and enterprise data centers. As NVIDIA introduces newer architectures like the Blackwell series, the market for H100s experiences shifts based on hardware depreciation, increased production supply, and changing demand for legacy high-end compute.
Participants in this market are effectively betting on whether the cooling of AI hype or the release of superior hardware will exert downward pressure on prices versus sustained demand for proven, available compute power.
This market tracks the H100 SXM, the data-center-grade Hopper architecture GPU designed for high-density server configurations.
Typically, the introduction of more powerful successors like the B100 or B200 series can lower demand for the H100, potentially driving prices downward as firms upgrade their infrastructure.
The market generally reflects global spot market trends and dominant cloud provider pricing indices rather than localized or boutique data center pricing.
The price refers to the prevailing market rate for acquiring or leasing H100 SXM compute capacity, monitored through industry-standard benchmark indices.
Significant disruptions, such as logistics bottlenecks or raw material shortages, can tighten supply and artificially inflate prices regardless of demand, and would be a key driver for this market.