Vast.ai Alternative
The Vast.ai alternative
without the marketplace risk.
Operator-owned hardware. ISO 27001 certified. SLA-backed. DPDP-compliant. Same GPUs, same workflow, none of the "host went offline mid-job" surprises.
Why ML teams move off Vast.ai for production
Vast.ai hosts can interrupt or vanish. No platform-level uptime guarantee.
Same GPU model, wildly different host networks, PCIe lanes, and CPU pairings.
No ISO 27001. No DPDP. No audit trail for the host machine. Blocker for regulated workloads.
Your weights and data sit on someone else's hardware in their physical location.
PodStack vs Vast.ai — feature by feature
| Feature | PodStack | Vast.ai |
|---|---|---|
| Host model | Operator-owned data centres | Peer-host marketplace |
| SLA | Enterprise SLA available | No SLA — best-effort |
| Compliance | ISO 27001, DPDP-ready | None — host-dependent |
| Hardware consistency | NVIDIA-certified, uniform | Varies wildly per host |
| Billing currency | INR | USD |
| Egress fees | Zero | Host-dependent |
| Data residency | India | Anywhere the host is |
Pricing side-by-side
Vast.ai prices vary widely per host. Range shown for On-Demand instances.
| GPU | PodStack | Vast.ai |
|---|---|---|
| NVIDIA L40S 48GB | ₹100/hr (incl. taxes) | ~$0.80–$1.50/hr (host-dependent) |
| NVIDIA A100 40GB | ₹208/hr | ~$1.00–$2.00/hr (host-dependent) |
| NVIDIA A100 80GB | ₹292/hr | ~$1.50–$3.00/hr (host-dependent) |
| NVIDIA H100 80GB | ₹333/hr | ~$2.50–$4.50/hr (host-dependent) |
Migrating from Vast.ai
- 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 weights and datasets to PodStack S3
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 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 lower. PodStack's prices are competitive on On-Demand workloads once you factor in zero egress fees, INR billing (no forex + GST stack), per-second billing, fractional GPU, and the fact that a Vast.ai host can disappear mid-job. For dev or hobby workloads, Vast may still win on raw $/hr. For production, PodStack's total cost of ownership is usually lower.
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 Indian data centres with DPDP compliance.
Does PodStack have a marketplace tier?+
No. Every PodStack GPU runs on hardware we operate inside Indian data centres. 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 at ₹333/hr with full SLA and fractional allocation. Contact sales@podstack.ai for enterprise reservations.
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.
Open Portal →