SF Compute vs Thalassa Cloud: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for SF Compute and Thalassa Cloud. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
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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Thalassa Cloud is a European GPU cloud offering H100 and A100 instances from Mediterranean data centers with competitive on-demand pricing and GDPR-compliant EU data residency for AI training and inference workloads. Flexible billing and European infrastructure make it accessible for Southern European AI teams that need local GPU compute without routing data through Northern European or US providers. A cost-effective European GPU cloud for teams in Greece and the broader Mediterranean region.
- European presence
- Competitive pricing
- GDPR compliant
- Very small provider — limited scale
- Limited to European regions
- No enterprise SLAs
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Key differences
SF Compute
H100 cluster compute — contract and on-demand GPU access from $5.04/hr
Thalassa Cloud
Mediterranean GPU cloud