H100 GPU Cloud Pricing Explained Simply

Cyfuture Cloud offers H100 GPU cloud server instances starting at competitive on-demand rates around $2.80-$3.50 per GPU per hour, with significant discounts for reserved commitments dropping to as low as $1.85 per hour for 12-month terms. Pricing follows flexible models like pay-as-you-go, reserved instances, and custom quotes tailored for AI workloads, ensuring no hidden fees for Indian and APAC users. This structure makes high-performance H100 access affordable without upfront hardware costs.​

Pricing Breakdown

Cyfuture Cloud simplifies H100 GPU cloud pricing into clear, transparent tiers that cater to startups, enterprises, and researchers handling AI training, inference, or HPC tasks. On-demand pricing hovers at $2.80-$3.50 per GPU/hour, ideal for bursty workloads where you pay only for active usage—perfect for testing models or short training runs without long-term locks. Reserved options unlock deeper savings: 1-month commitments reduce rates to about $2.50/hour, 6-months to $2.00/hour, and 12-months to $1.85/hour or lower, based on cluster size and configuration. Multi-GPU setups (e.g., 4x or 8x H100 clusters) maintain per-GPU economics while boosting peer-to-peer bandwidth up to 900 GB/s and NVLink interconnects for seamless scaling.​

Factors influencing costs include instance specs like 80GB HBM3 memory, FP8/FP16 performance exceeding 1,000 TFLOPS, vCPU count (typically 32-64), and system RAM (512GB+). Cyfuture Cloud eliminates common pitfalls—no egress fees, no idle surcharges, and India-based data centers cut latency for APAC users while complying with local regulations. Compared to hyperscalers like AWS ($3.90/GPU) or GCP ($3.00/GPU), Cyfuture delivers 20-40% better value through specialized GPU as a Service focus. Custom quotes via [email protected]  factor in workload duration, storage (NVMe SSDs), and networking (100 Gbps+), often bundling managed services for zero DevOps overhead.​​

Conclusion

Cyfuture Cloud's H100 pricing empowers AI innovation with predictable costs, rapid provisioning, and regional optimization—delivering Hopper architecture power at fractions of on-premise or big-cloud expenses. Businesses save up to 50% on long-term deals while scaling from single GPUs to clusters effortlessly.​

Follow-up Questions & Answers

> How do I get started with H100 on Cyfuture Cloud? Sign up at cyfuture.cloud, select H100 instances via the GPU dashboard, and deploy in minutes with pay-as-you-go billing—no contracts needed.​

> What workloads perform best on H100? Large language model training, generative AI inference, deep learning, and HPC simulations thrive on its 80GB memory and Transformer Engine.​

> Are there spot or serverless options? Yes, spot instances offer up to 70% off for interruptible jobs, and serverless GPU endpoints handle auto-scaling inference without cluster management.​

> How does Cyfuture compare to AWS/GCP for H100? Lower base rates ($2.80 vs $3.90), no egress costs, and India latency advantages make it 20-40% cheaper for APAC AI teams.​​

- Can I get a custom quote? Contact

- [email protected]

- with workload details for tailored pricing on multi-GPU clusters or hybrid setups.​