| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Price to Beat: 4.766 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market tracks the fluctuation in compute pricing for NVIDIA’s B200 Blackwell architecture chips, a critical indicator for the broader AI infrastructure economy. It serves as a barometer for supply-chain health and the equilibrium between surging enterprise demand and hardware manufacturing capacity.
The B200 represents the current flagship of NVIDIA’s GPU lineup, designed for massive-scale training and inference of generative AI models. Pricing trends are heavily influenced by the competitive landscape, production yield rates, and the pace at which hyperscale data centers expand their capacity. By April 2026, market saturation and the introduction of subsequent chip generations will likely play a role in determining how compute costs have evolved from current levels.
Market participants adjust their positions based on expectations of future supply availability and the prevailing market demand for high-end AI processing power.
The price refers to the market-clearing rate for leasing B200-powered infrastructure via cloud service providers or purchasing the compute equivalent.
The date acts as a temporal milestone to evaluate whether the initial high-cost 'scarcity' phase of the B200 has stabilized, increased due to persistent demand, or decreased due to supply normalization.
Yes; the introduction of successor architectures often puts downward pressure on the compute costs of previous-generation hardware.
Key players include NVIDIA as the supplier, TSMC as the primary manufacturer, and major cloud providers who dictate the retail cost of access to this hardware.
Changes to list prices, volume discount structures, or software-bundling strategies can directly impact the compute price benchmarks used to settle this market.