Yotta Shakti Cloud Alternative
The Yotta Shakti alternative
for developers and ML teams.
Self-serve, fractional GPU from 12.5%, per-minute billing, developer SDK and CLI. Built for developers, not just hyperscale contracts. And - uniquely - you can license the platform.
Why teams pick PodStack over Yotta Shakti
Sign up and have a Pod live in 60 seconds. No sales call to start.
Allocate 12.5%-100% of an A100 or H100 - useful for inference and sub-utilised jobs.
SDK, CLI, REST API, and podstack.yaml. Git push to deploy.
License the PodStack stack and run it inside your own DCs - for enterprise and government.
PodStack vs Yotta Shakti - feature by feature
| Feature | PodStack | Yotta Shakti |
|---|---|---|
| Platform stack | Proprietary, purpose-built for GPU | NVIDIA reference + custom orchestration |
| Platform license | Available - license + run in your own DC | No - managed only |
| Target customer | Developers, startups → enterprise | Hyperscale / large enterprise |
| Fractional GPU | 12.5% - 100% via PodVirt | Full GPU only |
| Self-serve signup | Yes - instant | Sales-led |
| Developer tooling | SDK, CLI, REST API, podstack.yaml | Portal-led |
| Per-minute billing | Yes | Per-hour / reserved |
| Pricing | Custom - talk to sales | Enterprise / reserved contracts |
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 Yotta in under an hour
- 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.yaml gpu: h100-80gb gpuFraction: 0.25 image: registry.podstack.ai/<org>/my-llm:latest volume: bucket: my-bucket mountPath: /workspacepodstack pod create -f podstack.yaml
Frequently asked questions
Why look for a Yotta Shakti Cloud alternative?+
Yotta Shakti is a serious GPU cloud - but it is built for hyperscale customers buying reserved capacity. If you are a startup, ML team, or developer that wants self-serve signup, per-minute billing, fractional GPU, and a developer SDK/CLI, PodStack fits better. We also offer the platform itself as a license - Yotta does not.
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 allocation and sub-second scaling that reference-architecture stacks cannot.
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. Contact sales@podstack.ai for licensing terms.
Does PodStack offer fractional GPU like Yotta?+
Yotta sells full GPUs (often on reserved contracts). PodStack offers true fractional GPU from 12.5% to 100% of a card via PodVirt. For inference or sub-utilised training, this typically cuts effective cost per hour by 3-5×.
Can I sign up for PodStack without a sales call?+
Yes. PodStack is self-serve: sign up at cloud.podstack.ai/portal, add a payment method, and launch a Pod in under 60 seconds. Enterprise sales is available for reserved capacity, dedicated clusters, and platform licensing.
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 Yotta Shakti Cloud 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.
Self-serve. Fractional. Licensable.
Launch a Pod in 60 seconds - or talk to us about licensing.
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