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TensorPool

GPU Clusters On Demand

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TensorPool is a command-line tool for running machine learning training and inference on on-demand GPU clusters. It addresses the infrastructure work involved in distributed training by letting users create multi-node clusters, provision shared storage, and submit jobs from a single CLI, with a Git-style push/pull workflow for managing experiments and normal SSH access available.

Clusters are scheduled across multiple compute providers, with high-performance shared storage volumes attached for distributed workloads. The CLI commands cover cluster creation, storage management, and job submission. TensorPool also offers nb.dev, a notebook environment with GPU access, snapshots, and branching.

TensorPool is aimed at teams and individuals training foundation models and other ML workloads. It is packaged with a Standard plan providing on-demand access to a set number of GPUs with support and shared storage, plus an Enterprise edition with custom storage, analytics, spend controls, and an uptime SLA. GPU and storage are priced on a usage basis, with reservations and committed discounts available on request.

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