Bentaus vs SF Compute: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Bentaus and SF Compute. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Bentaus offers H100 and A100 GPU cloud instances for AI training and inference workloads with competitive on-demand and spot pricing. Fast provisioning, full root SSH access, and Docker support make it accessible for research teams and startups that need flagship NVIDIA hardware without enterprise contracts. Spot instances provide significant cost savings for interruptible batch workloads.
- H100 and A100 on-demand and spot
- Competitive spot pricing for batch workloads
- Fast provisioning with full root SSH access
- Small provider — limited GPU availability at scale
- No enterprise SLAs
- Limited regions and GPU SKU variety
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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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Live GPU Pricing
Region Coverage
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Key differences
Bentaus
H100 and A100 GPU cloud — competitive on-demand and spot pricing
SF Compute
H100 cluster compute — contract and on-demand GPU access from $5.04/hr