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Cloud providers like Cyfuture Cloud offer H100 GPUs at competitive hourly rates starting around $2.80 per GPU, far lower than the massive upfront costs of on-premises setups exceeding $250,000 per 8-GPU server. This comparison highlights total cost of ownership differences, including hidden expenses like power and maintenance for on-prem versus pay-as-you-go cloud flexibility.
On-premises H100 deployment demands significant capital expenditure. A single 8x H100 server costs over $250,000, with individual H100 GPUs priced at $30,000-$40,000 each depending on PCIe or SXM variants. Lead times stretch 5-6 months due to supply constraints, delaying projects.
Ongoing costs inflate total ownership. Power consumption hits 700W per GPU, equaling $50,000+ annually for an 8-GPU setup at average U.S. rates, plus cooling, networking, and IT staff adding 30-50% to initial outlay. Cyfuture Cloud documentation notes these hidden fees make on-prem viable only for predictable, multi-year workloads with data sovereignty mandates.
Cloud shifts to operational expenditure with no upfront hardware buys. Cyfuture Cloud prices H100 instances at $2.80-$3.50 per GPU-hour on-demand, ideal for bursty AI training or inference. Reserved commitments slash rates: $2.50/hour (1-month), $2.00/hour (6-months), $1.85/hour (12-months).
Hyperscalers charge more—AWS p4de at $3.90/GPU-hour, GCP $3.00+, Azure $4.00-$8.00—often with availability waits. Cyfuture's India data centers cut APAC latency, bundle NVMe hosting, 100Gbps networking, and zero egress fees, yielding 20-40% better value. Multi-GPU clusters (4x/8x H100) maintain per-GPU economics with NVLink for 900GB/s bandwidth.
|
Aspect |
On-Prem (8x H100 Server) |
Cyfuture Cloud (On-Demand) |
Cyfuture Cloud (1-Year Reserved) |
|
Upfront Cost |
$250,000+ |
$0 |
$0 |
|
Hourly Rate/GPU |
N/A (amortized ~$3-5/hr over 3 years) |
$2.80-$3.50 |
$1.85 |
|
Annual TCO (Full Utilization) |
$350,000+ (hardware + ops) |
~$24,600 (8 GPUs x 3,500 hrs) |
~$16,200 |
|
Deployment Time |
5-6 months |
Minutes |
Minutes |
|
Scalability |
Fixed hardware |
Infinite, pay-per-use |
Infinite, committed |
Cyfuture excels for variable demand, breaking even versus on-prem in 6-12 months.
Cyfuture specializes in GPU-as-a-Service for AI/HPC, offering bare-metal H100 access without virtualization overhead. Configurations include 80GB HBM3 memory, 1,000+ TFLOPS FP8 performance, 32-64 vCPUs, and 512GB+ RAM. No idle surcharges or DevOps burden—deploy via dashboard in minutes.
Regional edges suit Delhi users: Indian data centers ensure low latency, regulatory compliance, and custom quotes via sales@cyfuture.cloud for hybrid cloud setups. Case studies show 50% savings over alternatives for sustained workloads.
Cyfuture Cloud's H100 pricing model triumphs for 80% of users, blending affordability ($1.85-$3.50/GPU-hour), instant scalability, and zero CapEx against on-prem's high barriers. Opt for cloud unless locked into perpetual, sovereignty-bound operations—contact Cyfuture for tailored ROI analysis.
How do I get started with H100 on Cyfuture Cloud?
Sign up at cyfuture.cloud, select H100 via GPU dashboard, deploy in minutes with pay-as-you-go—no contracts.
Cyfuture vs. AWS/GCP for H100?
Cyfuture at $2.80/GPU beats AWS $3.90 and GCP $3.00 by 20-40%, plus no egress and India latency perks.
Custom quotes for clusters?
Email sales@cyfuture.cloud with workload details for multi-GPU/hybrid pricing, often bundling managed services.
Break-even for on-prem?
On-prem pays off after 7-12 months of full utilization; cloud better for <70% usage or rapid iteration.
Let’s talk about the future, and make it happen!
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