RunPod Alternative

The RunPod alternative built for developers.

Fractional GPUs from 12.5%. Per-minute billing. Zero egress fees. NVIDIA A100, H100, and L40S GPUs available now - when RunPod's queue starts at 30 minutes, our Pods start in seconds.

Open Portal →

Why ML teams are leaving RunPod

Capacity shortage

H100/A100 frequently unavailable on Community tier. Surge pricing on Secure Cloud.

Full-GPU-only pricing

Pay for a whole GPU even when inference uses 15% of it. PodStack is fractional from 12.5%.

Egress fees

Charges to pull model weights, datasets, and inference results back out. PodStack egress is zero.

Marketplace variability

Community tier runs on third-party hosts. PodStack runs on operator-owned hardware with an SLA.

PodStack vs RunPod - feature by feature

FeaturePodStackRunPod
Fractional GPU12.5% - 100% via PodVirtFull GPU only
Egress feesZeroCharged per GB
Billing granularityPer-minutePer-minute
Host modelOperator-owned data centresMarketplace hosts on Community tier
SLAEnterprise SLA availableBest-effort on Community tier
Cold startSeconds (Pods + VMs)Varies by region/availability
Developer toolingCLI, SDK, REST API, podstack.yamlCLI + API
PricingCustom - talk to salesPublic 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 RunPod in under an hour

  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 model weights and datasets
    aws s3 sync ./weights/ s3://my-bucket/weights/ \
      --endpoint-url https://s3.podstack.ai
  3. Step 3
    Launch a Pod
    # podstack.yaml
    gpu: a100-80gb
    gpuFraction: 1.0
    image: registry.podstack.ai/<org>/my-llm:latest
    volume:
      bucket: my-bucket
      mountPath: /workspace
    podstack pod create -f podstack.yaml

Frequently asked questions

Why are people looking for a RunPod alternative?+

RunPod has been capacity-constrained on popular GPUs like H100 and A100, forcing teams to queue for availability or pay surge prices. Community-tier workloads also run on third-party marketplace hosts with best-effort reliability, and egress charges add up when you pull weights and datasets back out.

Is PodStack cheaper than RunPod?+

PodStack pricing is customised to your workload rather than published as flat rates. With per-minute billing, zero egress fees, and fractional GPU (pay for 12.5% of a GPU if that's all you need), the all-in total cost is typically lower for sub-utilised and inference workloads. Talk to sales for a quote matched to your usage.

Can I run vLLM, Unsloth, and ComfyUI on PodStack like I do on RunPod?+

Yes. PodStack ships one-click templates for vLLM, Unsloth fine-tuning, ComfyUI, PyTorch, and TensorFlow. Bring your own Docker image or use the templates - the workflow is the same as RunPod.

How do I migrate from RunPod to PodStack?+

Three steps: (1) push your Docker image to a registry PodStack can pull from, (2) sync model weights and datasets to a PodStack S3-compatible bucket, (3) launch a Pod with podstack.yaml or the portal. Most teams are migrated in under an hour.

Does PodStack have an SLA like RunPod's Secure Cloud tier?+

Yes. PodStack offers enterprise SLAs on Pods, VMs, and Baremetal GPU. Unlike RunPod Community, every PodStack tier runs on operator-owned data centres - no marketplace hosts.

Is my data safe with PodStack?+

PodStack runs on operator-owned hardware in ISO 27001 certified data centres - no peer hosts with physical access to your disks. DPDP compliance is also covered for teams that need it.

Can I get H100s on PodStack right now if RunPod is out?+

PodStack maintains H100 capacity with priority allocation for enterprise customers. If you need urgent H100 availability, contact sales@podstack.ai and we can usually provision within hours.

Stop queueing. Start training.

Launch your first Pod in under 60 seconds.

Open Portal →