TensorPool
The easiest way to use GPUs on the cloud
TensorPool delivers frictionless access to cloud GPUs through a command-line interface that integrates with a developer’s IDE. TensorPool’s orchestration layer automatically configures, optimizes, and deploys machine learning workloads across multiple cloud providers, eliminating hardware management headaches. By abstracting away infrastructure complexity, TensorPool enables AI engineers to focus on model development, yielding 10x faster iteration cycles and accelerated time-to-value.
Hlumelo Notshe, Tycho Svoboda, and Joshua Martinez were freshman roommates, are all master’s candidates in computer science at Stanford, and have built dozens of projects together in AI. Tycho has helped inform billions of dollars of investment decisions at companies like Blackstone and PIMCO. Joshua has his ML inference models deployed to every Apple device, and Hlumelo was a McCoy Fellow at DeepMind researching ML ethics and built Trust & Safety models for Nextdoor.
