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CloudGPUvsSF Compute

CloudGPU vs SF Compute: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for CloudGPU and SF Compute. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute
CloudGPU
SF Compute
Provider type
Specialist
Specialist
Founded
2023
Headquarters
San Francisco, CA
Billing model
On-demand (per-minute)
On-demand, Contract
Min commitment
None
None (on-demand); contract options available
Support tier
Community
Standard
Regions
1 regions
1 regions

Strengths & Best For

CloudGPU

CloudGPU rents on-demand GPUs billed per minute, with root SSH access and templates for Ollama, JupyterLab, ComfyUI and LLaMA-Factory. Prices come from CloudGPU's public price feed.

Strengths
  • Per-minute billing — pay only for what you use
  • Root SSH access on every instance
  • Ready-to-use templates: Ollama, JupyterLab, ComfyUI, LLaMA-Factory
  • Wide consumer and data-center GPU selection
Weaknesses
  • Smaller provider — limited scale vs hyperscalers
  • No enterprise SLAs or compliance certifications
  • Region information not published per instance
Best For
Developers wanting per-minute billing with no commitmentTeams running Ollama or ComfyUI workloadsCost-sensitive inference and fine-tuning
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CloudGPU Rating

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SF Compute

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.

Strengths
  • 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
Weaknesses
  • Limited GPU catalog — primarily H100
  • Smaller provider — less geographic diversity
  • Less mature ecosystem vs established GPU clouds
Best For
AI training teams needing H100 clustersResearch teams wanting Slurm-managed GPU computeTeams comparing H100 on-demand rates across providers
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SF Compute Rating

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Live GPU Pricing

CloudGPU — Available GPUs
RTX 3090$0.29/hr
V100 32GB$0.35/hr
RTX 4090$0.39/hr
RTX 5090$0.69/hr
A100 40GB$0.79/hr
A100 80GB$1.59/hr
SF Compute — Available GPUs
H100 80GB$5.04/hr

These providers do not share common GPU models in current live data. Prices shown are on-demand hourly rates.

Region Coverage

CloudGPU — 1 regions
Global
SF Compute — 1 regions
US

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Provider pages

CloudGPU pricing and specs SF Compute pricing and specs

Key differences

CloudGPU

On-demand GPUs billed per minute — RTX 3090 to A100, root SSH, Ollama and ComfyUI templates

SF Compute

H100 cluster compute — contract and on-demand GPU access from $5.04/hr

AttributeCloudGPUSF Compute
Provider typespecialistspecialist
Billing modelOn-demand (per-minute)On-demand, Contract
Min commitmentNoneNone (on-demand); contract options available
Regions1 (Global)1 (US)
Support tierCommunityStandard
Best forDevelopers wanting per-minute billing with no commitment, Teams running Ollama or ComfyUI workloadsAI training teams needing H100 clusters, Research teams wanting Slurm-managed GPU compute
Founded / HQ · 2023 · San Francisco, CA