The Crusoe alternative for training runs.
This compares Podstack Cloud’s TrainPods with Crusoe’s on-demand instances: whole GPUs and multi-GPU clusters billed by the hour, with reserved capacity for longer runs and no egress fee on the object storage beside them.
Why teams move from Crusoe
On-demand only
Crusoe offers on-demand cloud instances without a reserved-cluster option for longer runs. TrainPods reserved clusters hold a multi-GPU cluster for a term where partner capacity exists.
Egress fees
Pulling weights and datasets back out of Crusoe is charged per gigabyte. TrainPods’ object storage has no ingress, egress or request fees.
Bare-metal orchestration
Crusoe runs custom orchestration over bare metal. TrainPods provision on-demand and reserved whole GPUs and multi-GPU clusters, billed hourly or for the reserved term, with SSH access through the podstack CLI.
Terms that flow down
Reliability terms on Crusoe are plan-dependent. On Podstack, uptime and response terms flow into the operator agreement, and every region has more than one operator.
Podstack vs Crusoe, feature by feature
| Feature | Podstack | Crusoe |
|---|---|---|
| Reserved capacity | Reserved clusters for weeks or months, where partner capacity exists | On-demand cloud instances |
| Billing granularity | Per hour | Per hour |
| GPU access model | Whole GPU or multi-GPU cluster, bring your own stack | Whole GPU only |
| Object storage egress | None | Charged per GB |
| Provisioning | Boot in seconds, SSH via the podstack CLI | CLI and API |
| Fractional GPU for smaller jobs | QuickPods from 12.5% of a GPU, same Podstack wallet | Whole GPU only |
| Reliability terms | Flow into the operator agreement; more than one operator per region | Plan-dependent terms |
| Pricing | Quoted per team; billed per hour | Public on-demand rates |
Moving from Crusoe
The same three steps work for every Podstack Cloud product.
Bring your image or template
Use Podstack templates for vLLM, Unsloth, ComfyUI and PyTorch, or install your own framework on a bare instance.
Move data into object storage
Sync weights and datasets into an S3-compatible bucket in the same region as your GPUs. There is no egress fee when an instance reads them.
podstack files upload data.jsonlLaunch on-demand or reserve a term
Choose the GPU family and how many GPUs you need, from a single card up to a reserved cluster, and billing runs per hour from there.
podstack gpu launchQuestions, answered.
Why look for a Crusoe alternative?
Crusoe sells on-demand whole GPUs with egress charges and no reserved-cluster option. TrainPods offer the same on-demand shape plus reserved clusters, hourly billing and no egress fee on the object storage next to the GPUs.
Is Podstack cheaper than Crusoe?
Podstack pricing is quoted per team and billed by the hour, rather than compared line by line against a public rate card.
Can I reserve a cluster for a longer training run?
Yes. TrainPods reserved clusters hold a multi-GPU cluster for weeks or months where partner capacity exists, and a request returns a quote.
How do I migrate from Crusoe to Podstack?
Bring your image or template, move your data into object storage, then launch and pick a share. The same three steps apply across every Podstack Cloud product.
Does Podstack have an SLA?
Uptime and response terms flow into the operator agreement behind them, and every region has more than one operator.
Is my data safe on Podstack?
Podstack is an ISO 27001 certified platform and operations, with per-tenant isolation via PodVirt and region pinning including India.
Reserved when you plan ahead. On demand when you don’t.
TrainPods launch on-demand or reserved GPU clusters, billed by the hour, with no egress fee on the data beside them.