Compute Comparison

Cyfuture AI

Specialist Cloud

Cyfuture AI is an Indian cloud provider offering H100 and A100 GPU instances for AI and ML workloads with competitive pricing tailored to the South Asian market and local support for Indian enterprises. On-demand billing and India-based data centers make it a practical choice for Indian AI teams with data residency requirements or latency-sensitive inference workloads. A strong domestic option for Indian organizations that want GPU compute without routing data through international cloud providers.

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Cheapest On-Demand

$0.490/hr

Cheapest Spot

GPU Listings

4

Billing

On-demand

Performance Benchmarks

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Provider Info

Headquarters

Noida, India

Founded

2001

Regions

IN

Min Commitment

None

Support

Standard

Strengths

  • India presence
  • Competitive pricing
  • Local support

Limitations

  • Primarily India focused — limited global regions
  • Less mature platform vs global providers
  • Limited English documentation

Best For

Indian AI teamsSouth Asian workloadsCost-sensitive projects

Full GPU Catalog

GPU ModelvRAMOn-DemandSpotAvailabilityRegion
RTX 409024 GB$0.490HighIN
A4048 GB$0.640HighIN
A100 80GB80 GB$1.23MedIN
H100 80GB80 GB$2.26MedIN

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Cyfuture AI GPU pricing overview

Cyfuture AI is a specialist GPU cloud provider headquartered in Noida, India. Cyfuture AI is an Indian cloud provider offering H100 and A100 GPU instances for AI and ML workloads with competitive pricing tailored to the South Asian market and local support for Indian enterprises. On-demand billing and India-based data centers make it a practical choice for Indian AI teams with data residency requirements or latency-sensitive inference workloads. A strong domestic option for Indian organizations that want GPU compute without routing data through international cloud providers. Billing is On-demand with a minimum commitment of None. Available regions include IN. On-demand GPU instances can be provisioned in minutes with no upfront cost, making Cyfuture AI suitable for both short-duration experiments and sustained production workloads.

Cyfuture AI vs other GPU providers

Cyfuture AI competes with providers including Lambda Labs, CoreWeave, RunPod, Paperspace, Vast.ai, and the major hyperscalers (AWS, Google Cloud, Azure) for GPU compute workloads spanning LLM training, fine-tuning, and inference serving. Key differentiators include: India presence; Competitive pricing; Local support. Use the side-by-side comparison tool above to see Cyfuture AI pricing against any other provider across shared GPU models. For a broader market view, the live GPU prices table shows all 4 Cyfuture AI listings alongside 94+ providers in a single sortable view.

Best use cases for Cyfuture AI

Cyfuture AI is best suited for: Indian AI teams, South Asian workloads, Cost-sensitive projects. Support tiers range from Standard, making it viable for both individual researchers and enterprise teams with SLA requirements. There are currently 4 active GPU listings on Cyfuture AI, covering H100 80GB, A100 80GB, A40, RTX 4090. For workloads requiring the highest single-GPU throughput, H100 SXM5 instances with NVLink interconnect deliver the best performance per dollar at scale. For cost-sensitive fine-tuning or inference of models up to 13B parameters, A100 40GB or RTX 4090 instances typically offer the best value.

Cyfuture AI billing model and cost structure

Cyfuture AI uses On-demand pricing. On-demand instances are billed per second or per hour depending on the instance type, with no termination fees. Spot pricing is not currently available on this provider — all instances are on-demand. Reserved instance pricing, where available, can reduce costs by 30–60% for predictable long-running workloads. Always compare the effective hourly rate including egress, storage, and networking costs when evaluating total cost of ownership across providers.

Choosing the right GPU on Cyfuture AI

GPU selection depends on model size, precision, and whether your workload is compute-bound or memory-bandwidth-bound. For LLM training above 30B parameters, H100 80GB SXM5 instances with NVLink are the standard choice — the 3,350 GB/s HBM3 bandwidth and 989 TFLOPS FP16 throughput make them 2–2.5× faster than A100 for transformer workloads. For inference of 7B–13B models in FP16 or BF16, A100 40GB offers the best cost-per-token on most providers. RTX 4090 instances are ideal for fine-tuning, prototyping, and quantized inference (INT4/INT8) of models up to 70B. Read the H100 vs A100 guide or the GPU benchmarks for ML guide for a full breakdown.

How Cyfuture AI pricing data is collected

Prices shown are sourced from Cyfuture AI's public pricing API or pricing page and refreshed every 15 minutes. On-demand rates reflect the current list price for a single GPU instance in the cheapest available region. Spot prices, where available, reflect interruptible instance rates at the time of the last snapshot. All prices are in USD per hour. Daily snapshots are retained for 90 days and visualised in the GPU price history charts — useful for identifying seasonal pricing patterns and evaluating whether current rates are above or below the 30-day average.

Evaluating managed LLM inference APIs as an alternative to self-hosted GPU compute? Compare live LLM token prices across OpenAI, Anthropic, Google, Groq, and 14+ other providers. The cheapest GPU cloud guide covers the break-even analysis between self-hosted and managed inference at different request volumes.

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On-demand from $0.490/hr — 4 GPU configurations available. On-demand billing.

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Cyfuture AI
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