Vast.ai Alternative

The Vast.ai alternative without the marketplace risk.

Operator-owned hardware. ISO 27001 certified. SLA-backed. Same GPUs, same workflow, none of the "host went offline mid-job" surprises.

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Why ML teams move off Vast.ai for production

No SLA

Vast.ai hosts can interrupt or vanish. No platform-level uptime guarantee.

Inconsistent hardware

Same GPU model, wildly different host networks, PCIe lanes, and CPU pairings.

No compliance path

No certification or audit trail for the host machine. Blocker for regulated workloads.

Peer-host data risk

Your weights and data sit on someone else's hardware in their physical location.

PodStack vs Vast.ai - feature by feature

FeaturePodStackVast.ai
Host modelOperator-owned data centresPeer-host marketplace
SLAEnterprise SLA availableNo SLA - best-effort
Hardware consistencyNVIDIA-certified, uniformVaries wildly per host
Fractional GPU12.5% - 100% via PodVirtFull GPU only
Per-minute billingYesVaries by host
Egress feesZeroHost-dependent
Data isolationCertified DCs, no third-party hostsData sits on host's hardware
PricingCustom - talk to salesHost-dependent spot market

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 Vast.ai

  1. Step 1
    Push your Docker image
    docker tag my-llm:latest registry.podstack.ai/<org>/my-llm:latest
    docker push registry.podstack.ai/<org>/my-llm:latest
  2. Step 2
    Sync weights and datasets to PodStack S3
    aws s3 sync ./weights/ s3://my-bucket/weights/ \
      --endpoint-url https://s3.podstack.ai
  3. Step 3
    Launch a Pod
    podstack pod create -f podstack.yaml

Frequently asked questions

Why look for a Vast.ai alternative?+

Vast.ai is a marketplace where third-party hosts rent out their own GPUs. That keeps prices low, but it means no SLA, hardware quality varies by host, your workload runs on someone else's hardware in their location, and there's no compliance story for regulated workloads. Teams shipping to production usually need consistency, support, and audited infrastructure - which is where PodStack fits.

Is PodStack as cheap as Vast.ai?+

Vast.ai's headline prices on Community / interruptible instances can be very low. PodStack pricing is customised to your workload, and once you factor in zero egress fees, per-minute billing, fractional GPU, and the fact that a Vast.ai host can disappear mid-job, PodStack's total cost of ownership for production workloads is usually lower. Talk to sales for a quote.

Is my data safe on Vast.ai?+

On Vast.ai, your workload runs on a stranger's hardware in their physical location. The data on disk is technically visible to the host. For anything sensitive - model weights, customer data, fine-tuning datasets - that's a non-starter. PodStack runs on operator-owned hardware in ISO 27001 certified data centres.

Does PodStack have a marketplace tier?+

No. Every PodStack GPU runs on hardware we operate. No peer hosts, no surprise interruptions, no host-dependent network paths. One platform, one SLA, one bill.

How do I migrate from Vast.ai to PodStack?+

Same flow as any container migration: push your Docker image to PodStack's registry, sync your weights/datasets to a PodStack S3 bucket, and launch a Pod via the portal or `podstack pod create -f podstack.yaml`. Migration usually takes under an hour.

Can I get H100s on PodStack?+

Yes. NVIDIA H100 80GB is available on PodStack with full SLA and fractional allocation from 12.5%. Contact sales@podstack.ai for enterprise reservations and pricing.

Does PodStack support PyTorch, vLLM, Unsloth, and ComfyUI like Vast.ai?+

Yes. PodStack ships one-click templates for PyTorch, TensorFlow, vLLM, Unsloth, and ComfyUI. You can also bring any Docker image.

Predictable infrastructure for production ML.

Launch a Pod in under 60 seconds.

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