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SF Compute vs Verda: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2023
2022
Headquarters
San Francisco, CA
Oslo, Norway
Billing model
On-demand, Contract
On-demand, Spot, Reserved (1mo–2yr)
Min commitment
None (on-demand); contract options available
None
Support tier
Standard
Standard → Enterprise (ML craftsmen + infra engineers)
Regions
1 regions
2 regions

Strengths & Best For

SF Compute

SF Compute offers H100 SXM5 80GB GPU clusters with both short-term on-demand and longer-term contract pricing. The platform targets AI training and research teams that need reliable H100 access at competitive rates. October 2026 on-demand rate: $5.04/GPU-hr. SF Compute provides VMs, bare metal, and managed Slurm cluster options, making it flexible for different workflow types. A practical choice for teams that want H100 compute without the overhead of hyperscaler pricing.

Strengths
  • H100 SXM5 80GB at competitive on-demand rates
  • Bare metal and managed Slurm options
  • Short and long-term contract flexibility
  • US West region — low latency for West Coast teams
Weaknesses
  • Limited GPU catalog — primarily H100
  • Smaller provider — less geographic diversity
  • Less mature ecosystem vs established GPU clouds
Best For
AI training teams needing H100 clustersResearch teams wanting Slurm-managed GPU computeTeams comparing H100 on-demand rates across providers
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SF Compute Rating

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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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Verda Rating

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Key differences

SF Compute

H100 cluster compute — contract and on-demand GPU access from $5.04/hr

Verda

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

AttributeSF ComputeVerda
Provider typespecialistspecialist
Billing modelOn-demand, ContractOn-demand, Spot, Reserved (1mo–2yr)
Min commitmentNone (on-demand); contract options availableNone
Regions1 (US)2 (EU-North, EU-West)
Support tierStandardStandard → Enterprise (ML craftsmen + infra engineers)
Best forAI training teams needing H100 clusters, Research teams wanting Slurm-managed GPU computeEU AI teams needing GDPR and ISO 27001 compliance, Full AI lifecycle — prototyping through foundation training
Founded / HQ2023 · San Francisco, CA2022 · Oslo, Norway