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AzurevsSpheron

Azure vs Spheron: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Azure
Spheron
Provider type
Hyperscaler
Marketplace
Founded
2010
2022
Headquarters
Redmond, WA
United States
Billing model
Pay-as-you-go, Reserved (1yr/3yr), Spot, Savings Plans
On-demand (per-minute), Spot, Reserved
Min commitment
None (pay-as-you-go)
20-minute minimum runtime
Support tier
Basic → Premier
Community → Standard
Regions
5 regions
3 regions

Strengths & Best For

Azure

Microsoft Azure offers ND H100 v5 (8× H100, NVLink) and NC A100 v4 (4× A100) GPU VM series across 60+ regions, with enterprise compliance certifications including HIPAA, FedRAMP, and SOC 2 built in. Azure AI Foundry hosts Grok models from xAI alongside OpenAI, Anthropic, Meta, and Mistral models. Azure Machine Learning provides managed training and inference pipelines. Deep Active Directory, hybrid cloud, and Microsoft 365 integration makes Azure the natural GPU cloud for Microsoft-centric organizations. Savings plans (1yr/3yr) and reserved instances offer up to 53% off on-demand rates.

Strengths
  • 60+ regions — widest geographic coverage of any GPU cloud
  • Enterprise compliance: HIPAA, FedRAMP, SOC 2, ISO 27001
  • Azure AI Foundry: Grok, OpenAI, Anthropic, Meta, Mistral models
  • Active Directory and hybrid cloud integration
  • Savings plans up to 53% off on-demand rates
  • Azure Machine Learning managed ML pipelines
Weaknesses
  • Most complex billing and quota system of any hyperscaler
  • GPU quota increases require support tickets and can take days
  • Higher on-demand rates vs specialist GPU clouds
Best For
Enterprise ML with compliance requirementsMicrosoft-centric organizations (M365, Active Directory)Teams needing widest global region coverageRegulated industries (healthcare, finance, government)
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Spheron

Spheron is a GPU marketplace sourcing from certified data center partners globally. GPU catalog: B300 Blackwell, B200 Blackwell, H200, H100, MI300X, GH200, A100, RTX PRO 6000, RTX 5090, L40S, RTX 4090 — on-demand and spot. GB200 and GB300 available to reserve. NVIDIA R100 Rubin (288 GB HBM4) pre-order. Per-minute billing, 20-minute minimum. Accepts USDT/USDC.

Strengths
  • B300, H100, RTX 4090 — competitive live pricing
  • Spot pricing available on H200, H100, A100
  • MI300X — AMD high-VRAM option
  • NVIDIA R100 Rubin pre-order available
  • Per-minute billing, 20-minute minimum, no contracts
  • Accepts USDT and USDC crypto payments
Weaknesses
  • Marketplace model — hardware consistency varies by partner
  • 20-minute minimum runtime (not per-second)
  • No enterprise SLAs
Best For
Cost-sensitive AI workloads needing multi-provider flexibilityTeams wanting vetted marketplace GPU accessSpot-tolerant batch training and inferenceCrypto-native teams
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Live GPU Pricing

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Region Coverage

Azure — 5 regions
eastuswestus2westeuropesoutheastasiaaustraliaeast
Spheron — 3 regions
USEUAPAC

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Key differences

Azure

ND H100 v5, NC A100 v4, Grok on Azure AI Foundry — 60+ regions with enterprise compliance

Spheron

B300, H100, B200, H200 — per-minute billing, 20-min minimum

AttributeAzureSpheron
Provider typehyperscalermarketplace
Billing modelPay-as-you-go, Reserved (1yr/3yr), Spot, Savings PlansOn-demand (per-minute), Spot, Reserved
Min commitmentNone (pay-as-you-go)20-minute minimum runtime
Regions5 (eastus, westus2, westeurope, +2)3 (US, EU, APAC)
Support tierBasic → PremierCommunity → Standard
Best forEnterprise ML with compliance requirements, Microsoft-centric organizations (M365, Active Directory)Cost-sensitive AI workloads needing multi-provider flexibility, Teams wanting vetted marketplace GPU access
Founded / HQ2010 · Redmond, WA2022 · United States