on-demand-gpu
(2)
TensorPool
TensorPool (YC W25) is a San Francisco startup that turns cloud GPUs into a git-style command line. Instead of wrestling with SSH sessions, provider dashboards, and idle-instance billing, machine learning engineers describe a training job in a config file and run 'tp job push' - TensorPool spins up a multi-node cluster across partner clouds, streams logs, saves outputs, and shuts everything down, billing only for runtime. It advertises GPU access at roughly half the cost of major cloud providers, with H100s starting around $1.99/hr. Founded by three Stanford dormmates, the company was accepted into Y Combinator's Winter 2025 batch.
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.