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Gcore vs Yotta: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Specialist
Specialist
Founded
2014
2019
Headquarters
Luxembourg
Mumbai, India
Billing model
On-demand, Reserved
On-demand, Reserved
Min commitment
None
None
Support tier
Standard → Enterprise
Standard → Enterprise
Regions
5 regions
2 regions

Strengths & Best For

Gcore

Gcore is a global GPU cloud and CDN provider offering H100, A100, L40S, and L4 instances across 40+ points of presence worldwide, with ultra-low latency networking and built-in DDoS protection for edge AI inference workloads. On-demand and reserved billing options are available, making it a versatile GPU cloud for teams that need both compute and network performance at a global scale. A top choice for latency-sensitive AI inference applications that need to serve users across multiple continents.

Strengths
  • 40+ global PoPs with ultra-low latency networking
  • Built-in DDoS protection
  • H100, A100, L40S, L4 availability
  • CDN + GPU compute in one provider
Weaknesses
  • Smaller provider — limited scale vs hyperscalers
  • Less mature ML tooling vs specialist AI clouds
  • Support quality varies by region
Best For
Global inference deployment needing low latencyLatency-sensitive AI applications serving multiple continentsTeams needing edge compute with DDoS protection
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Yotta

Yotta Infrastructure is an Indian hyperscale data center and cloud provider offering H100 and A100 GPU instances with Indian data residency and enterprise-grade infrastructure for AI training and HPC workloads. On-demand and reserved billing options are available, making it one of the most capable domestic GPU cloud options for Indian enterprises with data sovereignty requirements. A strong choice for APAC-based organizations needing high-performance GPU compute within India.

Strengths
  • Indian data residency
  • Hyperscale infrastructure
  • H100 availability
  • Enterprise SLAs
Weaknesses
  • Smaller provider — limited scale vs hyperscalers
  • Fewer regions than major cloud providers
  • Less mature ecosystem and fewer integrations
Best For
India-based AI teamsAPAC enterprise workloadsRegional data residency
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Region Coverage

Gcore — 5 regions
EUUSAPACMELATAM
Yotta — 2 regions
IN-WestIN-South

Popular Comparisons

Key differences

Gcore

Global GPU cloud and CDN — H100, A100, L40S across 40+ PoPs worldwide

Yotta

Indian hyperscale GPU cloud

AttributeGcoreYotta
Provider typespecialistspecialist
Billing modelOn-demand, ReservedOn-demand, Reserved
Min commitmentNoneNone
Regions5 (EU, US, APAC, +2)2 (IN-West, IN-South)
Support tierStandard → EnterpriseStandard → Enterprise
Best forGlobal inference deployment needing low latency, Latency-sensitive AI applications serving multiple continentsIndia-based AI teams, APAC enterprise workloads
Founded / HQ2014 · Luxembourg2019 · Mumbai, India