Lambda Labs Alternative
The Lambda alternative -
H100s available now.
Instant provisioning. Zero egress. Fractional GPU from 12.5%. Per-minute billing. And - uniquely - a licensable platform.
Why ML teams move off Lambda
Lambda On-Demand H100 is frequently sold out. PodStack has H100 capacity available now.
Pay for exactly the minutes you use. No rounding up to the hour on short jobs.
12.5%-100% of an H100. Lambda only sells full GPUs.
License the same stack and run it in your DC. Lambda does not offer this.
PodStack vs Lambda Labs - feature by feature
| Feature | PodStack | Lambda Labs |
|---|---|---|
| Platform stack | Proprietary, purpose-built for GPU | Custom over bare-metal |
| Platform license | Available - license + run in your own DC | No - managed only |
| H100 availability | Available now | Frequently sold out / waitlist |
| Fractional GPU | 12.5% - 100% via PodVirt | Full GPU only |
| Per-minute billing | Yes | Per-minute / hour |
| Egress fees | Zero | Charged |
| Developer tooling | CLI, SDK, REST API, podstack.yaml | CLI + API |
| Pricing | Custom - talk to sales | Public on-demand 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 Lambda
- 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 Lambda Labs alternative?+
Lambda has been capacity-constrained on H100 for extended periods - on-demand H100 is often unavailable or waitlisted. Lambda also sells full GPUs only, so sub-utilised inference workloads pay for capacity they never use. PodStack offers H100 capacity now, fractional GPU from 12.5%, per-minute billing, and zero egress fees.
Is PodStack built on open-source like OpenStack or Kubernetes?+
No. PodStack is a proprietary, purpose-built platform - our own control plane, scheduler, and virtualisation layer (PodVirt) designed specifically for fractional GPU sharing. This is why we can offer 12.5% fractional GPU and sub-second scaling.
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. Lambda does not offer this.
Can I get H100s on PodStack right now if Lambda is sold out?+
Yes. PodStack maintains H100 capacity with priority allocation for enterprise customers. For urgent H100 availability contact sales@podstack.ai - we can usually provision within hours.
Is PodStack cheaper than Lambda?+
PodStack pricing is customised to your workload rather than published as flat rates. With zero egress fees, per-minute billing, and fractional GPU (rent 25% of an H100 instead of a whole card), the effective cost for sub-utilised workloads is typically much 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 Lambda to PodStack?+
Three steps: (1) push your Docker image, (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.
Stop waitlisting. Start training.
H100 capacity available now - launch a Pod in under 60 seconds.
Open Portal →