GPU rental prices (H100) end of November?

Currently, prediction market odds reflect a range of expectations regarding the H100 GPU rental market. These expectations are formed by the collective intelligence of traders on Polymarket, and may differ from traditional analyst forecasts. While some analysts predict continued price increases due to high demand, this market may indicate a different sentiment, potentially factoring in anticipated supply increases or shifts in AI development priorities. It’s important to note that prediction markets represent a forward-looking view, incorporating diverse perspectives and reacting quickly to new information.

On Polymarket, this market is priced through a continuous double auction, similar to traditional financial markets. Traders buy and sell contracts representing different price outcomes for H100 GPU rentals. The price of these contracts directly reflects the market’s probability assessment of each outcome. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price curve shows the implied probabilities for various rental price points, allowing traders to express their views on future market conditions. Volume and open interest provide additional indicators of market conviction and liquidity.

This market resolves around Dec 1, 2026, with the outcome confirmed once the average rental price for H100 GPUs is verifiable from credible public reporting. The resolution will be based on publicly available data from major GPU rental providers, reflecting the prevailing market rates at the end of November. The specific price range that corresponds to the winning outcome will be determined by comparing the actual average rental price to the ranges defined within this market. Traders will then be settled based on their positions.

Several signals or events could significantly impact this market. Major announcements from NVIDIA regarding H100 production capacity or new product releases would likely cause a shift in prices. Unexpected disruptions to the global supply chain, such as geopolitical events or natural disasters, could also influence rental costs. Furthermore, significant breakthroughs or setbacks in AI research and development, particularly those requiring substantial GPU resources, could affect demand and, consequently, this market. Any news impacting the overall economic outlook or investment in the technology sector could also play a role.