Anocloud
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Same NVIDIA silicon. Up to half the cost. On Indian soil.

No long lock-in. Capacity reserved, not queued. Data stays in India by design — and every AI feature gets a unit price so your CFO can see whether it earns more than it costs.

Pillar 03The GPU bill, and where your data sleeps
Cost per answer

We measure the thing nobody measures — cost per answer, per document, per customer. Most AI projects still have no unit price. Yours will.

What we lead with
  • Same NVIDIA H100 and A100 hardware at 50–70% of pay-as-you-go pricing
  • Fractional GPUs — rent the slice you use, by the hour, not the whole card
  • Your choice of where it runs: global clouds, Indian sovereign cloud, your own racks or fully air-gapped
  • Cost per answer measured, then driven down with caching, batching and right-sized models
Typical stack
NVIDIA H100 · A100Podstack AIE2E NetworksNeevCloudGoogle CloudAWSAzure
50%Lower cost for the same NVIDIA hardware
₹0.17Cost per answer after tuning, from ₹0.41 (illustrative)
4Placement options, including fully air-gapped
Questions

What clients ask us first.

Podstack AI was co-founded by Anocloud’s CEO. We disclose that up front rather than in a footnote, and we will benchmark any Indian GPU provider you prefer.
No — the figures we publish are illustrative. We measure your real baseline in week one and price against that.
Yes. For workloads that may never touch the internet we deploy fully air-gapped on hardware you control.
Next step

Talk to us about sovereign compute.

Tell us what you are running today and what has to be true in ninety days.