GPU as a Service with Scalable Cloud Storage: Cost and Performance Overview

Cyfuture Cloud's GPU as a Service (GPUaaS) offers NVIDIA GPUs like T4, A100, and H100 starting at ₹30/hour, paired with scalable object and block storage up to petabytes. It delivers 70-80% cost savings versus on-premise setups through pay-as-you-go pricing, near-identical performance for AI/ML workloads, instant scaling, and no CapEx, ideal for bursty demands.

What is GPUaaS with Scalable Storage?

GPU as a Service provides on-demand access to powerful NVIDIA GPUs via the cloud for AI training, inference, rendering, and HPC tasks. Cyfuture Cloud integrates this with scalable storage options like S3-compatible object storage for massive datasets and high-IOPS block volumes for low-latency access. Users provision multi-GPU clusters, pre-loaded with CUDA, TensorFlow, and PyTorch, while storage auto-scales to handle terabytes-to-petabytes without downtime. This eliminates hardware procurement, maintenance, and overprovisioning, ensuring 99.99% uptime.

Provisioning is seamless: select GPU type (e.g., 8x H100), attach storage volumes, and deploy via intuitive dashboard or Kubernetes. Data locality optimizes performance by co-locating compute and storage in Indian data centers, reducing latency for Delhi-based users. Hybrid VPC support allows seamless migration from on-prem.

Cost Breakdown

Cyfuture Cloud's pricing is transparent and competitive, undercutting AWS/GCP by 30-50%. Hourly rates start at ₹30 for T4, ₹200-300 for A100, and higher for H100, with per-minute billing for short jobs. No hidden fees for data transfer or basic storage; reserved instances offer discounts for long-term use. A 3-year example for 8 GPUs at 240 hours/month: ~₹2.3 crore total, including power, cooling, and updates—versus ₹4.4-5.1 crore on-premise.

Storage costs scale linearly: ~₹1-2/GB/month for object storage, with free ingress. Total ownership drops 50%+ by avoiding underutilization (often 40% on-prem).

Performance Metrics

Cloud GPUs match on-prem performance for most workloads, with H100 delivering 4x faster AI training than A100 via high-bandwidth memory. Cyfuture's optimized instances reduce job times by 20-30% through pre-configured environments. Latency edges out only for microsecond needs; otherwise, NVLink and InfiniBand enable linear scaling across 100+ GPUs.

Scalable storage ensures no I/O bottlenecks: up to 100 GB/s throughput on block storage, ideal for large ML datasets. Benchmarks show 95%+ efficiency on ResNet-50 training versus bare metal. Indian data centers minimize egress delays for regional users.

Key Benefits for Enterprises

Scalability: Auto-scale GPUs and storage from 1 to thousands, paying only for use—perfect for variable ML pipelines.

Cost Efficiency: Shift from CapEx to OpEx; free trials (10-50 GPU hours) de-risk adoption.

Operations: 24/7 support, auto-updates, and Blender/PyTorch optimizations cut dev time.

India-Focused: Low-latency from Mumbai/Delhi DCs, compliant with data localization.

Conclusion

Cyfuture Cloud's GPUaaS with scalable storage redefines affordability and agility, slashing costs by 70%+ while matching top-tier performance for AI/HPC. Ideal for startups to enterprises avoiding hardware pitfalls, it future-proofs workloads in 2026's AI boom. Start with a free trial for immediate ROI.

Follow-Up Questions

1. How does Cyfuture's pricing compare to AWS/GCP?
Cyfuture offers 30-50% lower hourly rates (e.g., A100 at ₹200-300 vs. higher global peers), with no surprise storage/egress fees and India-optimized latency.

2. What storage options pair with GPUaaS?
S3-compatible object storage (scalable to PB), NVMe block storage (high IOPS), and snapshots for backups—all billed per GB used, with seamless GPU mounting.​

3. Is performance identical to on-premise?
Near-identical for AI/ML (95%+ efficiency); on-prem wins only in ultra-low latency niches. Cyfuture's NVLink clusters excel in scaling.​

4. How to get started?
Sign up at cyfuture.cloud, select GPU config, attach storage, and deploy in minutes. Free trials and 24/7 support included.​