Cyfuture Cloud Alternative
The Cyfuture Cloud alternative
built around GPU — not bolted on.
GPU-native control plane. Fractional GPU from 12.5%. One-click vLLM, Unsloth, ComfyUI templates. Developer SDK and CLI. Same Indian sovereignty — plus a licensable platform.
Why ML teams pick PodStack over Cyfuture
Cyfuture is a generalist cloud with GPU added on. PodStack is built ground-up for GPU.
12.5%–100% of an A100 or H100. Stop overpaying for inference workloads.
vLLM, Unsloth, ComfyUI, PyTorch — one-click launch, BYO Docker also supported.
Run the same stack inside your own DCs. Enterprise and government only.
PodStack vs Cyfuture Cloud — feature by feature
| Feature | PodStack | Cyfuture Cloud |
|---|---|---|
| Platform stack | Proprietary, GPU-native | Generalist cloud, GPU as add-on |
| Platform license | Available — license + run in your own DC | No — managed only |
| Fractional GPU | 12.5% – 100% via PodVirt | Full GPU only |
| Developer tooling | SDK, CLI, REST API, podstack.yaml | Portal-led |
| ML templates | vLLM, Unsloth, ComfyUI, PyTorch one-click | BYO image |
| Per-second billing | Yes | Per-hour |
| Data residency | India (Bengaluru DCs) | India |
| Compliance | ISO 27001, DPDP-ready | ISO 27001 |
Pricing side-by-side
Cyfuture Cloud GPU prices indicative — published rates vary by SKU and region.
| GPU | PodStack | Cyfuture Cloud |
|---|---|---|
| NVIDIA L40S 48GB | ₹100/hr (incl. taxes) | ~₹140/hr |
| NVIDIA A100 40GB | ₹208/hr | ~₹260/hr |
| NVIDIA A100 80GB | ₹292/hr | ~₹340/hr |
| NVIDIA H100 80GB | ₹333/hr | ~₹410/hr |
Migrating from Cyfuture 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: a100-80gb gpuFraction: 0.5 image: registry.podstack.ai/<org>/my-llm:latestpodstack pod create -f podstack.yaml
Frequently asked questions
Why look for a Cyfuture Cloud alternative?+
Cyfuture Cloud is a generalist Indian cloud that has added GPU instances as part of its broader offering. For teams whose primary workload is ML training, fine-tuning, and inference, a GPU-native platform with fractional GPU, ML templates, and a real SDK/CLI is usually faster to ship on. PodStack is built ground-up around GPU workloads, not bolted on.
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.
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, government departments, and operators can license the full PodStack stack and deploy it inside their own data centres. Contact sales@podstack.ai for licensing terms.
Does PodStack support fractional GPU?+
Yes. PodStack supports true fractional GPU from 12.5% to 100% of a card via PodVirt. For inference and sub-utilised training, this typically reduces effective $/hr by 3–5×.
Does PodStack have one-click ML templates?+
Yes. PodStack ships one-click templates for vLLM, Unsloth fine-tuning, ComfyUI, PyTorch, and TensorFlow. You can also bring any Docker image.
Is PodStack sovereign and DPDP-compliant?+
Yes. PodStack is operated from Indian data centres, ISO 27001 certified, and DPDP-compliant. Government-empanelment ready for defence and regulated workloads.
How do I migrate from Cyfuture 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.
GPU-native. Sovereign. Licensable.
Launch a Pod in 60 seconds — or talk to us about licensing.
Open Portal →