Compute Comparison
vs
All providers →

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

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

Overview

Provider type
Specialist
Specialist
Founded
2023
2023
Headquarters
United States
San Francisco, CA
Billing model
On-demand, Spot
On-demand, Contract
Min commitment
None
None (on-demand); contract options available
Support tier
Community → Standard
Standard
Regions
1 regions
1 regions

Strengths & Best For

Corelink

Corelink is a GPU cloud offering H100, H200, A100, and L40S instances with flexible billing, spot availability, and competitive on-demand pricing for AI training and inference workloads. The self-serve platform makes it easy to provision GPU capacity for LLM fine-tuning, distributed training, and model deployment without enterprise contracts. A straightforward on-demand GPU cloud for startups and research teams that need H100 access at competitive rates.

Strengths
  • Competitive H100 pricing
  • Spot availability
  • Flexible billing
  • Wide GPU selection
Weaknesses
  • Smaller provider — limited scale vs hyperscalers
  • Fewer regions than major cloud providers
  • Less mature ecosystem and fewer integrations
Best For
Cost-sensitive AI trainingSpot-tolerant workloadsStartups needing H100 access
Visit Corelink
Corelink Rating

No reviews yet — add yours ↗

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
Visit SF Compute
SF Compute Rating

No reviews yet — add yours ↗

Live GPU Pricing

Live prices load below.

Region Coverage

Popular Comparisons

Key differences

Corelink

Competitive GPU cloud for AI training and inference

SF Compute

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

AttributeCorelinkSF Compute
Provider typespecialistspecialist
Billing modelOn-demand, SpotOn-demand, Contract
Min commitmentNoneNone (on-demand); contract options available
Regions1 (US)1 (US)
Support tierCommunity → StandardStandard
Best forCost-sensitive AI training, Spot-tolerant workloadsAI training teams needing H100 clusters, Research teams wanting Slurm-managed GPU compute
Founded / HQ2023 · United States2023 · San Francisco, CA