GPU as a Service Pricing Explained Along with Cloud Storage Costs

Cyfuture Cloud offers flexible GPU as a Service (GPUaaS) pricing through pay-as-you-go (₹0.01-0.05/second per GPU), hourly rates (e.g., A100 at ₹150-250/hour, H100 at ₹600-1,000/hour), and subscription models with 10-65% discounts for 1-36 month commitments. Cloud storage costs ₹5-10/GB/month for NVMe SSD, with free inbound data transfer and ₹1-5/GB egress. Total costs factor in vCPUs (₹2-5/hour), RAM, and bandwidth, optimized for AI workloads in India data centers.

Pricing Models for GPUaaS

Cyfuture Cloud structures GPUaaS pricing around usage patterns for AI training, inference, and HPC. Pay-as-you-go bills per second or hour, ideal for bursty tasks like model testing—NVIDIA T4 starts at ₹25/hour, A100 at ₹150-250/hour, and premium H100 at ₹600-1,000/hour equivalents in INR. Hourly flexibility avoids idle costs but suits variable loads, such as seasonal retail AI spikes.

Subscription plans lock in discounts: 1-month at 10-15% off, 6-months at 25-35%, 12-months at 40-50%, and 36-months up to 65%. For example, a 12-month H100 commitment might drop from ₹8,760 monthly hourly equivalent to ₹4,200, ensuring availability for steady enterprise use. Reserved instances guarantee resources, while spot pricing cuts non-critical bills by 50-80%.

Factors like GPU type (memory-rich H100 > entry T4), quantity, vCPUs/RAM bundles (₹2-5/vCPU-hour), and software (containers free, premium OS extra) drive totals. Cyfuture's India data centers reduce APAC latency, minimizing bandwidth needs.

Cloud Storage Costs Breakdown

Storage complements GPUaaS for datasets in ML pipelines. Cyfuture charges ₹5-10/GB/month for high-speed NVMe SSD, scalable to petabytes without upfront buys. This covers persistent volumes for training data, checkpoints, and inference caches—e.g., 1TB costs ₹5,000-10,000/month.​

Data transfer adds layers: inbound free, outbound ₹1-5/GB beyond tiers, optimized by local DCs. I/O operations and snapshots incur minimal fees, but monitoring dashboards help avoid surprises. Compared to global providers, Cyfuture's model skips hidden egress traps, pairing low-latency storage with GPUs for end-to-end AI efficiency.

Optimization Strategies

Right-size resources: Use A10 for inference, H100 for training; auto-scale via dashboards. Long-term users negotiate volume discounts; hybrid models (pay-as-you-go + reserved) balance flexibility and savings. Cyfuture emphasizes transparency—no surprise fees—enabling 70% cost cuts vs. on-prem hardware.

For a 10-GPU A100 cluster running 100 hours/month: Base compute ~₹1.5-2.5 lakhs, plus 500GB storage at ₹2,500-5,000, totals under ₹3 lakhs pre-discounts. Tools like usage forecasting prevent overprovisioning.​

Conclusion

Cyfuture Cloud's GPUaaS pricing—hourly, subscription, pay-as-you-go—delivers cost-effective NVIDIA power with storage at ₹5-10/GB/month, tailored for India's AI ecosystem. Flexible models ensure scalability without capex, with discounts rewarding commitment. Businesses save via optimization, accessing H100/A100 fleets predictably.

Follow-Up Questions

1. How do Cyfuture's GPU prices compare to AWS or Azure?
Cyfuture undercuts hyperscalers by 30-50% on H100/A100 due to India DCs and no egress premiums—e.g., H100 at ₹600-1,000/hour vs. AWS p5.48xlarge equivalents over ₹2,000/hour.

2. What are hidden costs in GPUaaS + storage?
Minimal at Cyfuture: Watch egress (₹1-5/GB), snapshots, and premium images. No inbound/storage surprises; dashboards track all.

3. Best plan for AI startups on tight budgets?
Pay-as-you-go with spot for testing (50-80% off), scaling to 1-month subscriptions. Pair with 100-500GB storage for under ₹50,000/month initial runs.

4. Does Cyfuture offer free tiers or trials?
Yes, limited credits for new users to test A100/T4 + storage, plus 24/7 support for optimization.​