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Cirrascale vs Verda: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2009
2022
Headquarters
San Diego, CA
Oslo, Norway
Billing model
On-demand, Reserved
On-demand, Spot, Reserved (1mo–2yr)
Min commitment
None
None
Support tier
Standard → Enterprise
Standard → Enterprise (ML craftsmen + infra engineers)
Regions
1 regions
2 regions

Strengths & Best For

Cirrascale

Cirrascale Cloud Services provides enterprise-grade AI infrastructure featuring H100 NVL, H100 SXM5, and H200 GPU clusters with InfiniBand networking for high-throughput distributed LLM training and large-scale AI workloads. Dedicated cluster deployments and reserved configurations give enterprises full control over their GPU infrastructure without shared-tenancy concerns. A specialist provider for AI labs and enterprises that need dedicated H100 or H200 cluster capacity at scale.

Strengths
  • H100/H200 cluster focus
  • InfiniBand networking
  • Dedicated deployments
  • Enterprise SLAs
Weaknesses
  • Bare-metal focused — requires more infrastructure management
  • Limited self-service tooling
  • Smaller ecosystem vs cloud providers
Best For
Large-scale AI trainingEnterprise LLM workloadsDedicated cluster users
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Verda

Verda is a full-stack European AI cloud built for the full AI lifecycle — from rapid prototyping to foundation training and scalable inference. GPU catalog: GB300 SXM6, B300 SXM6, B200 SXM6, H200 SXM5, H100 SXM5, A100 SXM4, RTX PRO 6000, L40S — on-demand and spot. Instant clusters with InfiniBand interconnect up to 144× GPUs self-service. Serverless containers with scale-to-zero. GB300 NVL72 available (NVLink v5). $155M funding (NIB joined July 2026). SOC 2 Type II, ISO 27001/27017/27018/27701, GDPR, C5 certified. In-house AI Lab co-engineering with customers (1X World Model, SGLang, vLLM). 99.9% uptime.

Strengths
  • GB300, B300, B200 — competitive Blackwell pricing with spot options
  • Spot pricing available across all GPU tiers
  • Instant clusters up to 144× GPUs with InfiniBand, self-service
  • In-house AI Lab: co-engineering with 1X, SGLang, vLLM
  • SOC 2 Type II, ISO 27001/27017/27018/27701, GDPR, C5
  • GB300 NVL72 with NVLink v5 available
Weaknesses
  • Primarily EU regions — limited US/APAC coverage
  • Newer provider — smaller ecosystem vs hyperscalers
  • Reserved discounts are modest (2–25% off on-demand)
Best For
EU AI teams needing GDPR and ISO 27001 complianceFull AI lifecycle — prototyping through foundation trainingTeams wanting co-engineering support from AI LabConfidential computing workloads (hardware-attested inference)
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Key differences

Cirrascale

Enterprise AI infrastructure with H100 and H200 clusters

Verda

GB300, B300, B200, H200 — full-stack EU AI cloud, SOC 2 Type II

AttributeCirrascaleVerda
Provider typespecialistspecialist
Billing modelOn-demand, ReservedOn-demand, Spot, Reserved (1mo–2yr)
Min commitmentNoneNone
Regions1 (US)2 (EU-North, EU-West)
Support tierStandard → EnterpriseStandard → Enterprise (ML craftsmen + infra engineers)
Best forLarge-scale AI training, Enterprise LLM workloadsEU AI teams needing GDPR and ISO 27001 compliance, Full AI lifecycle — prototyping through foundation training
Founded / HQ2009 · San Diego, CA2022 · Oslo, Norway