SF Compute vs Zettabyte: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for SF Compute and Zettabyte. 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
No reviews yet — add yours ↗
Zettabyte provides scalable H100, H200, and A100 GPU infrastructure for large-scale AI training and inference, with enterprise reliability and on-demand and reserved billing options for organizations that need consistent GPU cluster access. High-capacity configurations and a focus on enterprise-grade uptime make it a strong choice for AI labs and enterprises running production LLM workloads at scale. A reliable on-demand GPU cloud for teams that need scalable infrastructure with enterprise-level reliability.
- Scalable infrastructure
- Enterprise reliability
- Large-scale training
- Small provider — limited scale for very large clusters
- Less mature platform vs CoreWeave
- Limited ecosystem integrations
No reviews yet — add yours ↗
Live GPU Pricing
Region Coverage
Popular Comparisons
Provider pages
Key differences
SF Compute
H100 cluster compute — contract and on-demand GPU access from $5.04/hr
Zettabyte
Scalable GPU infrastructure