cloud-compute
(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.
Modal
Modal is a serverless cloud platform that lets developers run compute-intensive AI and data workloads - inference, training, fine-tuning, batch jobs, and sandboxed code - without managing infrastructure. Built from scratch in Rust with a custom container runtime, file system, and GPU memory snapshotting, it delivers sub-second cold starts and elastic autoscaling from zero to thousands of GPUs, billed by the second. Founded in 2021 by Erik Bernhardsson and Akshat Bubna, the New York-based company reached roughly $300M in annualized revenue and raised a $355M Series C in 2026 at a $4.65B valuation.