SF Compute vs UpCloud: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for SF Compute and UpCloud. 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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UpCloud is a Finnish cloud provider known for its MaxIOPS storage and reliable infrastructure, now offering H100 and A100 GPU instances for AI and ML workloads across Finnish, EU, US, and APAC data centers. On-demand billing and a strong uptime track record make it a dependable choice for European teams that need GPU compute paired with high-performance storage for data-intensive AI training pipelines. A solid European GPU cloud for teams that value reliability and storage performance alongside GPU compute.
- MaxIOPS storage
- Reliable uptime
- European presence
- Competitive pricing
- Limited GPU catalog vs specialist AI clouds
- Less ML-focused tooling
- Smaller ecosystem vs hyperscalers
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Key differences
SF Compute
H100 cluster compute — contract and on-demand GPU access from $5.04/hr
UpCloud
Finnish cloud with GPU options