CoreWeave Alternative
The CoreWeave alternative
built for developers.
Self-serve. Zero egress. Per-minute billing. Fractional GPU from 12.5%. And - uniquely - a licensable platform you can run yourself.
Why ML teams pick PodStack over CoreWeave
Sign up and launch a Pod in seconds. No reserved-capacity contract needed to start.
No charges to pull model weights, datasets, or inference results back out.
Allocate 12.5%-100% of an H100. CoreWeave only sells full GPUs.
License the same stack and run it in your own DC. CoreWeave does not offer this.
PodStack vs CoreWeave - feature by feature
| Feature | PodStack | CoreWeave |
|---|---|---|
| Platform stack | Proprietary, purpose-built for GPU | Kubernetes-based |
| Platform license | Available - license + run in your own DC | No - managed only |
| Fractional GPU | 12.5% - 100% via PodVirt | Full GPU only |
| Per-minute billing | Yes | Per-hour |
| Egress fees | Zero | Charged |
| Self-serve signup | Yes - instant | Largely sales-led / reserved |
| Developer tooling | CLI, SDK, REST API, podstack.yaml | Kubernetes-native tooling |
| Pricing | Custom - talk to sales | Public + negotiated rates |
Pricing built around your workload
PodStack pricing is customised to your GPU mix, fraction sizes, and committed usage - with per-minute billing and zero egress fees, you only pay for what you actually use. Tell us your workload and get a quote the same day.
Migrating from CoreWeave
- Step 1Push your Docker image
docker tag my-llm:latest registry.podstack.ai/<org>/my-llm:latest docker push registry.podstack.ai/<org>/my-llm:latest - Step 2Sync model weights and datasets
aws s3 sync ./weights/ s3://my-bucket/weights/ \ --endpoint-url https://s3.podstack.ai - Step 3Launch a Pod
podstack pod create -f podstack.yaml
Frequently asked questions
Why look for a CoreWeave alternative?+
CoreWeave is built around large reserved-capacity contracts on a Kubernetes-based control plane. For developers and smaller ML teams that means sales-led onboarding, full-GPU-only allocation, hourly billing, and egress fees. PodStack is a developer-first GPU cloud - self-serve, fractional GPU from 12.5%, per-minute billing, zero egress - and is itself licensable.
Is PodStack built on Kubernetes like CoreWeave?+
No. PodStack is a proprietary, purpose-built platform - our own control plane, scheduler, and virtualisation layer (PodVirt) designed specifically for fractional GPU sharing. This lets us offer 12.5% fractional GPU and sub-second scaling that Kubernetes-based stacks struggle to deliver.
Can we license the PodStack platform to run our own GPU cloud?+
Yes. PodStack is sold both as a managed cloud and as a licensable platform. Enterprises and operators can license the full PodStack stack and deploy it in their own data centres - something CoreWeave does not offer. Contact sales@podstack.ai for licensing terms.
Is PodStack cheaper than CoreWeave?+
PodStack pricing is customised to your workload rather than published as flat rates. With zero egress fees, per-minute billing, and fractional GPU (pay for 12.5% of a card if that's all you need), the all-in cost for sub-utilised workloads is typically lower. Talk to sales for a quote.
What security certifications does PodStack have?+
PodStack runs on operator-owned hardware in ISO 27001 certified data centres, with DPDP compliance covered for teams that need it.
How do I migrate from CoreWeave to PodStack?+
Three steps: (1) push your Docker image to PodStack's registry, (2) sync model weights and datasets to a PodStack S3-compatible bucket, (3) launch a Pod via the portal or with `podstack pod create -f podstack.yaml`. Most teams migrate in under an hour.
Does PodStack support vLLM, Unsloth, ComfyUI?+
Yes. One-click templates for vLLM, Unsloth, ComfyUI, PyTorch, and TensorFlow. BYO Docker also supported.
GPU cloud, developer-first.
Launch a Pod in 60 seconds - or talk to us about platform licensing.
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