machine-learning-infrastructure
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Tycho Svoboda
Tycho Svoboda is the co-founder and CEO of TensorPool, a Y Combinator Winter 2025 startup that lets machine learning engineers run training jobs on cloud GPUs with a single command-line tool, routing work to the cheapest available cloud and cutting compute costs by roughly half. He left Stanford with two credits shy of graduation to build it alongside two dorm-floor friends, joining a wave of young AI founders trading their degrees for the startup grind.
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.
Nikola Borisov
Nikola Borisov is the co-founder and CEO of Deep Infra, a Palo Alto cloud company that runs open-source AI models as a low-cost, low-latency inference service. A former competitive programmer who scaled messaging backends to hundreds of millions of users at imo.im and helped build HalloApp's founding backend, he bet early that inference, not training, would become the real bottleneck of the AI era. Deep Infra now processes close to five trillion tokens a week and raised a $107M Series B in May 2026 backed by NVIDIA, 500 Global, Felicis and others.
Deep Infra Inc.
Deep Infra is a Palo Alto-based AI inference cloud that lets developers run hundreds of open-source machine learning models - large language models, image and video generation, speech, and embeddings - through a simple, OpenAI-compatible, pay-per-use API. The company owns and operates its own GPU fleet across multiple US data centers, processing trillions of tokens per week for companies that want production AI without managing infrastructure.