Cyfuture AI vs Modal: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Cyfuture AI and Modal. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
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.
- India presence
- Competitive pricing
- Local support
- Primarily India focused — limited global regions
- Less mature platform vs global providers
- Limited English documentation
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Modal is a serverless GPU cloud purpose-built for AI workloads, offering per-second billing with zero idle cost. GPU catalog: B300, B200, H200 SXM, H100 SXM5, RTX PRO 6000, A100 80GB, A100 40GB, L40S, A10, L4, T4. Starter and Team plans include free monthly compute credits. Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand. Python-native SDK. SOC 2 and HIPAA compliant.
- B300, B200, H200 — competitive Blackwell/Hopper pricing
- Per-second billing with zero idle cost — no minimum hours
- Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand
- Python-native SDK — no infra management
- Starter and Team plans include free monthly compute credits
- SOC 2, HIPAA, data residency controls
- Less control over underlying infrastructure vs raw VMs
- Pricing can be unpredictable for sustained high-throughput workloads
- Smaller GPU catalog than dedicated cluster providers
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Key differences
Cyfuture AI
AI cloud from India
Modal
B300, B200, H200, H100 — serverless GPU, per-second billing