Cyfuture AI
5.8/10India-based GPU cloud and AI platform that rents NVIDIA, AMD and Intel accelerators by the hour and offers managed Kubernetes, serverless inference and fine-tuning for AI teams.
Data last updated November 2026 · Our methodology
Overview
Cyfuture AI is the AI infrastructure arm of Cyfuture India, a Noida-based IT services and data center company that traces its history to 2001. The platform rents GPU instances from 1x to 8x configurations, including NVIDIA V100, L40S, A100, H100 SXM, RTX PRO 6000 and B300, AMD MI300X and MI325X, and Intel Gaudi 2. Multi-node clusters are available for larger training jobs. On top of raw compute it sells managed Kubernetes, container as a service, object and block storage, a vector database, serverless pay-per-token inference across 100+ open models, fine-tuning, RAG, and chatbot and voicebot products. GPUs are billed hourly in Indian rupees, with discounts for 1, 6 or 12 month reservations. Inference is priced per million tokens in US dollars, and the pricing page lists no platform, ingress or egress fees. Managed Kubernetes comes as fixed monthly node bundles starting at ₹10,700. New accounts get ₹100 of free credit without a credit card. Its strongest fit is Indian enterprises and public-sector bodies that need data to stay in the country. The company runs MeitY-empanelled Tier III facilities in Noida, Jaipur and Raipur, lists further sites in Mumbai and Bangalore, and claims ISO 27001, SOC 2, PCI DSS and India AI Mission empanelment. The main limitation is thin, inconsistent public information. The pricing page mixes INR and USD figures that do not reconcile, the published uptime SLA appears as both 99.95% and 99.99%, and there are almost no independent customer reviews. The documentation covers an inference API but no CLI or Terraform provider.
Our Rating
AI Software5.8/10
Hosting & Infrastructure5.9/10
Who Cyfuture AI is best for
Best software for GovernmentGood fit
MeitY empanelment, India AI Mission participation and in-country data residency suit Indian public-sector buyers.
Developers get hourly GPU instances, a token-priced inference API across 100+ models, and a pre-installed ML stack, though documentation and tooling are thin.
Enterprises get reserved GPU clusters, private cloud, dedicated Slack support with a named engineer, and ISO 27001 and SOC 2 claims.
Less suited
The PCI DSS claim and Indian data residency help regulated Indian financial institutions, and NABARD is named as a client.
Low entry GPU rates, hourly billing and free trial credit help early AI teams, but the small review base makes the vendor harder to judge.
Pros & Cons
Pros
- Entry GPU rates are low: an on-demand V100 starts at ₹54 per hour, and GetDeploying lists 12-month reserved V100 from $0.39 per GPU-hour.
- The pricing page lists no ingress, egress or platform fees, so data-heavy training jobs are easier to budget.
- Accelerators come from NVIDIA, AMD and Intel, including B300, H100, MI300X, MI325X and Gaudi 2, in 1x to 8x configurations.
- MeitY-empanelled Tier III data centers in India keep data in the country, which matters for Indian government and regulated buyers.
- Hourly GPU rental, serverless token-priced inference across 100+ models, fine-tuning and RAG are sold by one vendor.
Cons
- The pricing page mixes INR and USD figures that do not reconcile, so buyers need a written quote.
- Published uptime commitments conflict: the SLA document cites 99.95% and the enterprise cloud page cites 99.99%.
- Independent reviews are scarce: G2 has too few to rate, and Capterra and GetApp each show a single review.
- The documentation covers an inference API but no CLI, SDK packages or Terraform provider for managing infrastructure.
- All listed data centers are in India, so latency and regional choice are limited for users elsewhere.
Key Features
Cyfuture AI Pricing
Managed Kubernetes: 1 master + 1 worker
or ₹115,560/year (save 10%)
- Nodes with 4 vCPU and 16 GB RAM
- 12-month price includes 10% reserved discount
Managed Kubernetes: 1 master + 3 workers
or ₹182,520/year (save 10%)
- Nodes with 4 vCPU and 16 GB RAM
- 12-month price includes 10% reserved discount
Managed Kubernetes: 3 masters + 3 workers
or ₹246,240/year (save 10%)
- High-availability control plane
- Nodes with 4 vCPU and 16 GB RAM
- 12-month price includes 10% reserved discount
Managed Kubernetes: 3 masters + 5 workers
or ₹316,440/year (save 10%)
- High-availability control plane
- Nodes with 4 vCPU and 16 GB RAM
- 12-month price includes 10% reserved discount
Enterprise
- Quote on request
- Bare-metal options
- Dedicated Slack channel
- Custom clusters of 32+ H100 GPUs
- 24x7 phone support with named account engineer
GPU On-Demand (pay as you go)
- 1x to 8x GPU configurations
- Hourly billing with no minimum commitment
- No platform, ingress or egress fees listed
- Reserved 1, 6 or 12 month terms at lower hourly rates
- V100 from ₹54 per hour, H100 SXM from ₹329 per hour
Frequently Asked Questions
Yes. The pricing page offers ₹100 of free credit to new accounts, and no credit card is required.
GPU instances are billed by the hour with no minimum commitment. Reserved terms of 1, 6 or 12 months lower the hourly rate. For example, an H100 SXM 1x costs ₹329 per hour on demand and ₹219 per hour on a 12-month term.
The pricing page says there are no ingress, egress or platform fees. The enterprise cloud page words this as no egress fees within India, so confirm cross-border transfer terms.
The company lists MeitY-empanelled Tier III facilities in Noida, Jaipur and Raipur, and a facility in Bangalore. GetDeploying also lists Mumbai. A 100 MW AI data center and a 20 MW NSEZ facility are announced as upcoming.
The vendor claims ISO 27001, ISO 20000-1, SOC 1, SOC 2 and SOC 3, PCI DSS, HIPAA compliance, and MeitY empanelment. It also cites India AI Mission empanelment. Request audit reports before relying on them.
The SLA document linked from the site cites 99.95% uptime, while the enterprise cloud page advertises 99.99% with service credits. The data center page cites a 99.982% Tier III facility standard. Get the contractual figure in writing.
Standard support offers email and ticketing with an 8-hour response target. Business support targets a 2-hour response. Enterprise support adds 24x7 phone support, a dedicated Slack channel and a named account engineer.
Yes. The documentation describes a chat completions endpoint for serverless inference, with a Swagger reference, and a REST API for object storage. No CLI or Terraform provider is documented.
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