Which are the Top GPU as a Service providers in India?
In India, the top GPU as a Service (GPUaaS) providers include Cyfuture AI, AceCloud, AWS, Google Cloud Platform, Microsoft Azure, E2E Networks, Vultr, and Neysa. Among these, Cyfuture AI stands out by offering competitively priced GPU hosting with transparent INR-based billing, dedicated 24/7 human support, and a simplified infrastructure optimized for continuous AI inference and lightweight training workloads.
Pricing varies across providers, with Cyfuture AI generally providing lower-cost options for GPU servers (e.g., from about Rs8/month for basic GPU packages) compared to others like AWS and Google Cloud, which charge higher hourly or monthly rates for premium GPUs like NVIDIA H100 and A100. Feature-wise, providers differ in GPU models offered, cloud integrations, support levels, and billing flexibility.
Table of Contents
- Overview of Top GPU as a Service Providers in India
- Detailed Feature Comparison
- Pricing Models and Cost Comparison
- How Cyfuture AI Differentiates Itself
- Frequently Asked Questions
- Call to Action: Choose Cyfuture AI for GPU as a Service
- Conclusion
Overview of Top GPU as a Service Providers in India
The top GPU as a Service providers in India for 2025 serve the growing AI and ML industry by offering on-demand access to powerful GPUs such as NVIDIA H100, A100, L40S, and others.
Cyfuture AI is prominently recognized in the Indian market for AI workload-optimized GPU hosting with highly competitive pricing and transparent billing in INR. Cyfuture offers a full-stack GPU cloud combining GPU, storage, and network resources with 24/7 expert support.
AceCloud provides a broad range of NVIDIA GPUs with pay-as-you-go pricing and enterprise-grade support. They offer GPUs such as H100, A100, L40S, and more, with transparency in hourly and monthly billing.
AWS, Google Cloud Platform, and Microsoft Azure are global giants offering GPU instances with deep cloud ecosystem integrations, flexible reserved pricing, and various GPU models but at higher price points for Indian customers.
E2E Networks and Vultr are Indian providers offering competitive GPU cloud solutions with different pricing models and features oriented towards AI and ML use cases.
Neysa, a native Indian GPUaaS provider, focuses on cost-efficient GPU offerings for both entry-level and enterprise-grade GPU needs.
Detailed Feature Comparison
| Provider | GPU Models Available | Pricing Model | Notable Features | Support | Billing Currency |
|---|---|---|---|---|---|
| Cyfuture AI | NVIDIA A100, V100, L40S, RTX A6000, L4 | Monthly fees, Pay-per-use | INR-based transparent pricing; Full-stack infrastructure; 24/7 dedicated expert support | 24/7 human support | INR |
| AceCloud | NVIDIA H100, A100, L40S, RTX A6000 | Pay-as-you-go hourly/month | Ultra-low latency; Enterprise-grade security; One-click GPU provisioning | 24/7 support | INR |
| AWS | NVIDIA H100, A100, V100, T4, G5 | On-demand, reserved, spot | Deep integration with AWS AI/ML services; Global data centers | Paid support plans | USD |
| Google Cloud | NVIDIA H100, A100, T4, L4 | Per-second billing, discounts | Vertex AI & TPU integration; Hybrid/multi-cloud with Anthos | Paid support plans | USD |
| Microsoft Azure | NVIDIA H100, A100, V100, T4 | Pay-as-you-go, reserved | Azure Arc hybrid cloud; Enterprise IAM & compliance; VS Code/GitHub integration | Paid support plans | USD |
| E2E Networks | NVIDIA H100, H200, L40S, L4 | Hourly, monthly | Passthrough GPU mode; Kubernetes support | Limited support | INR |
| Vultr | NVIDIA GH200, H100, A100, L40 | Hourly & monthly | Instant VM provisioning; Private networking & IPv6; Simple dashboard & API | Limited support | USD |
| Neysa | NVIDIA H100, H200, L40S, L4 | Hourly, monthly commitment | Right-sized solutions; Cost-effective for diverse workloads | Limited support | USD |
Pricing Models and Cost Comparison
Cyfuture AI offers GPU hosting with transparent pricing starting as low as Rs8/month for basic GPU packages optimized for inference workloads, making it one of the most cost-effective in India. For powerful GPUs like the NVIDIA A100, monthly pricing is competitive with local currency billing that simplifies budgeting.
AceCloud charges about Rs315/hour for H100, Rs185/hour for A100, and offers monthly pricing around Rs16 lakh for eight H100 GPUs, making it roughly 60% cheaper than AWS and Google Cloud at similar configurations.
AWS and Google Cloud charge a premium for GPU usage in India, with AWS H100 servers costing about Rs42.9 lakh monthly for 8 GPUs and Google Cloud even more. They use multiple pricing models like on-demand, spot, and reserved instances that can impact cost-efficiency depending on usage.
E2E Networks charges around Rs207 per GPU per hour for H100 GPUs with some discount on monthly commitments but generally higher than Indian local providers.
Neysa presents hourly prices with savings up to 30-34% on monthly commitments but prices in USD.
How Cyfuture AI Differentiates Itself
- Local INR Pricing: Cyfuture offers transparent pricing in Indian Rupees making budgeting straightforward without hidden currency conversion charges.
- Dedicated 24/7 Expert Support: Round-the-clock access to cloud and AI specialists ensures seamless GPU cloud operations.
- Full-Stack GPU Solutions: Combines GPU, storage, network, and backup under one roof rather than just GPU instances.
- Optimized for AI Workloads: Specializes in practical AI and ML GPU usage scenarios including inference and lightweight training with no complex clustering.
- Cost-Effective Plans: GPU hosting starting as low as Rs8/month for entry packages, competitive monthly pricing for premium GPUs.
Conclusion
In the rapidly evolving AI landscape of India, selecting the right GPU as a Service provider can significantly impact cost, performance, and scalability. Cyfuture AI stands out as a leading option, offering competitive pricing, local currency billing, and a full-stack approach optimized for AI workloads. AceCloud, AWS, Google Cloud, Microsoft Azure, E2E Networks, Vultr, and Neysa also provide strong alternatives with varying strengths in global reach, feature sets, and pricing flexibility. Evaluating workload needs against pricing models and support options will guide enterprises and startups alike toward the best GPU cloud provider fit.
Frequently Asked Questions
What GPU models are most commonly offered by these providers?
NVIDIA H100, A100, V100, L40S, RTX A6000, and L4 series GPUs dominate service offerings as they cover a broad spectrum from AI training to inference workloads.
How do pricing models differ?
Models include pay-as-you-go hourly billing, monthly commitments, spot instances for temporary cost savings, and reserved instances with long-term discounts.
Which provider offers the best balance of cost and features in India?
Cyfuture AI leads with competitive local pricing and dedicated support, followed by AceCloud and E2E Networks offering strong GPU selections.
