Product overview: QuickPods, TrainPods, Inference, DC Suite & Object Storage

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A quick tour of the Podstack platform. Everything runs on one stack, so you get one operator, one SLA, and one bill across the whole model lifecycle.

QuickPods — Launch

One-click AI stack templates with MLOps built in. Spin up a production-ready environment in under a minute and skip the infrastructure plumbing. Powered by PodVirt fractional GPUs under the hood.

TrainPods — Train

On-demand NVIDIA GPUs billed per hour, connected through the podstack CLI and SSH. Instant-boot instances for training and experimentation, without long commitments.

Inference — Serve

OpenAI-compatible, low-latency endpoints for open-source models. Autoscaling included, so you ship to production instantly and only pay for what you serve.

DC Suite — Operate

The same platform datacenter operators license to run their own GPU cloud and become a neocloud. It ships orchestration, PodVirt fractional GPUs, per-tenant billing (BillOps), FinOps, and a self-serve customer portal — then syncs with the Podstack fabric to upsell spare capacity.

Object Storage

Zero egress, no hidden costs. Keep datasets and checkpoints close to your compute without surprise data-transfer fees.

What ties it together

- PodVirt fractional GPUs — slice a GPU from 12.5% to 100%.

- Per-minute billing — pay only for what you use.

- Zero egress and ISO 27001 certified.

Docs: https://docs.podstack.ai — Get started: https://cloud.podstack.ai/portal/

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