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Cyfuture AI vs Runcrate: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Cyfuture AI and Runcrate. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Specialist
Specialist
Founded
2001
2024
Headquarters
Noida, India
US
Billing model
On-demand
Per-second on-demand
Min commitment
None
None
Support tier
Standard
Standard
Regions
1 regions
3 regions

Strengths & Best For

Cyfuture AI

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.

Strengths
  • India presence
  • Competitive pricing
  • Local support
Weaknesses
  • Primarily India focused — limited global regions
  • Less mature platform vs global providers
  • Limited English documentation
Best For
Indian AI teamsSouth Asian workloadsCost-sensitive projects
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Runcrate

Runcrate is a GPU cloud founded in 2024 offering on-demand instances with per-second billing and no minimum commitment — the meter stops the moment you stop the instance. The platform aggregates GPU capacity across eight global regions spanning North America, Europe, and Asia, covering 14 GPU models from RTX A6000 and A100 through H100 and RTX PRO 6000. Full root access via SSH, Docker support, and custom images are included on every instance. An OpenAI-compatible inference API serves open-source models billed per token, and reserved or dedicated capacity is available for teams with monthly volume commitments.

Strengths
  • Per-second billing — no minimum commitment
  • OpenAI-compatible inference API
  • 14 GPU models including H100 and RTX PRO 6000
  • 8 global regions across NA, EU, and Asia
  • Full root SSH access with Docker and custom images
  • Reserved and dedicated capacity available
Weaknesses
  • No enterprise SLAs or uptime guarantees
  • Smaller provider — limited scale vs hyperscalers
  • No managed platform or containers
Best For
Teams needing flexible per-second GPU billingOpen-source model inference via APIMulti-region GPU workloadsCost-sensitive on-demand training and fine-tuning
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Key differences

Cyfuture AI

AI cloud from India

Runcrate

GPU cloud with per-second billing and an OpenAI-compatible inference API

AttributeCyfuture AIRuncrate
Provider typespecialistspecialist
Billing modelOn-demandPer-second on-demand
Min commitmentNoneNone
Regions1 (IN)3 (US, EU, APAC)
Support tierStandardStandard
Best forIndian AI teams, South Asian workloadsTeams needing flexible per-second GPU billing, Open-source model inference via API
Founded / HQ2001 · Noida, India2024 · US