Exoscale vs SF Compute: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Exoscale and SF Compute. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Exoscale is a Swiss cloud provider offering A100 and L40S GPU instances with strict Swiss privacy law and GDPR compliance, making it a strong on-demand GPU cloud option for regulated industries requiring Swiss data sovereignty. Per-minute billing with no minimum commitment provides cost-efficient access to GPU compute for AI inference and training workloads in Swiss and EU data centers. A strong choice for financial services, healthcare, and other regulated sectors that need GPU compute within Swiss jurisdiction.
- Swiss data sovereignty
- GDPR + Swiss privacy law
- Regulated industry focus
- EU/CH data centers
- Very small GPU catalog
- Limited to European regions
- Not ML-focused — limited AI tooling
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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.
- 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
- Limited GPU catalog — primarily H100
- Smaller provider — less geographic diversity
- Less mature ecosystem vs established GPU clouds
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Key differences
Exoscale
Swiss cloud with GPU and strong data sovereignty
SF Compute
H100 cluster compute — contract and on-demand GPU access from $5.04/hr