gpu-marketplace
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Aethir rented the GPUs. Now it wants to build the capacity.
The Singapore company turned distributed computing into a business serving AI and gaming. Its next bet is more physical: bringing new GPU capacity online where customers are already asking for it.
Hydra Host Wants to Turn the GPU Gold Rush Into a Boring, Profitable Utility
The Miami-born company is stitching independent data centers into one programmable GPU network. Its wager is that the real bottleneck in AI is no longer buying chips - it is keeping them provisioned, occupied and earning.
The San Francisco Compute Company
The San Francisco Compute Company (SF Compute) runs a real-time marketplace for AI compute. It buys and operates large-scale, vetted GPU clusters - primarily Nvidia H100s wired with 3.2Tb/s InfiniBand - and sells them on flexible contracts, from a single hour to multiple years, that buyers can also resell. By turning long-term GPU capacity into a liquid spot market with transparent pricing, SF Compute lets startups, researchers, and enterprises buy exactly the compute they need without the multi-year commitments that dominate the industry, while pointing toward a future of cash-settled GPU futures.
Hyperbolic
Hyperbolic is an open-access AI cloud built for developers and researchers. It aggregates underutilized GPUs from data centers, mining farms and idle machines into an on-demand marketplace, and pairs that with serverless inference for state-of-the-art open-source models. The pitch is simple: fast, affordable access to compute and inference without sales calls or feature gates, at prices it says can run up to 75% below incumbents.