PodStack is a cloud platform offering full-stack GPU infrastructure for AI model development, training, and deployment. It features fractional GPU allocation, per-minute billing, and one-click access to training and inference endpoints. Designed for machine learning teams, PodStack streamlines the entire model lifecycle and reduces infrastructure complexity.
In the Hosting, deployment & PaaS space, PodStack takes a focused approach. It focuses on providing scalable, cost-efficient GPU resources for AI model training and inference without vendor lock-in or overprovisioning. PodStack is a B2B product aimed at machine learning teams. Pricing is paid. PodStack is available on the web and API, and it can be self-hosted.
PodStack first shipped in 2024. Among its 9 catalogued features are Fractional GPU billing, one-click training, and inference endpoints. It exposes integrations via a public API.
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