TensorPool

TensorPool provides on-demand GPU clusters designed for machine learning workloads, offering instant access to multiple GPU types with scalable pricing and enterprise features. The service emphasizes fast deployment, affordability, and 24/7 support for both training and inference workloads.

TensorPool enables on-demand GPU clusters with standard pricing tables for various GPU types (e.g., B200 SXM, H100 SXM, L40S) and storage options. Users can sign up quickly, access GPUs in seconds, and leverage features such as high-performance shared storage, analytics/monitoring tools, spend controls, and dedicated support. The platform advertises on-demand access up to 128 GPUs in the standard plan and scalable capacity to thousands of GPUs with enterprise offerings, plus both shared and object storage pricing.

Who it’s for: AI/ML teams and organizations requiring scalable GPU infrastructure for training and inference, ranging from small teams to enterprises.

pricing page with multiple plans and enterprise contact option; mentions of scaling to thousands of GPUs and dedicated support indicating growth/traction