| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Price to Beat: 0.961 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market tracks the rental or compute cost of NVIDIA A100 SXM4 GPU instances, a benchmark for high-performance computing and AI model training. The outcome reflects whether market rates for these specific units increase or decrease relative to their current price by April 3, 2026.
The A100 SXM4 was a cornerstone of the AI hardware boom, providing high memory bandwidth and throughput for large-scale enterprise workloads. As newer architectures like the H100, H200, and Blackwell series gain market share, the demand for A100 compute experiences shifting pressures from both enterprise hardware migration and cost-sensitive cloud infrastructure providers.
Market participants use these prices to gauge sentiment regarding the depreciation of legacy AI hardware against the rising availability of more efficient next-generation computing clusters.
This market tracks the NVIDIA A100 SXM4, a data-center class GPU architecture designed for AI training and HPC applications.
Not necessarily; a downward price movement may simply reflect the natural depreciation of hardware as newer, more efficient alternatives become more affordable and widely available.
New hardware releases typically exert downward pressure on the rental prices of older-generation chips like the A100 as compute power becomes more commoditized.
As major cloud providers phase out or down-tier A100 offerings in favor of higher-performance units, the supply-demand balance for A100 compute shifts, directly influencing its market price.
The date serves as the terminal point for evaluating the final compute price, acting as a snapshot for the market's assessment of A100 utility in an evolving hardware landscape.