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GPUniqvsSF Compute

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

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

Overview

Attribute
GPUniq
SF Compute
Provider type
Marketplace
Specialist
Founded
2023
2023
Headquarters
Various
San Francisco, CA
Billing model
Per-second (marketplace)
On-demand, Contract
Min commitment
None
None (on-demand); contract options available
Support tier
Standard
Standard
Regions
1 regions
1 regions

Strengths & Best For

GPUniq

GPUniq is a live GPU marketplace offering a wide range of hardware including NVIDIA B200 192GB, H200 141GB, H100 80GB, A100 80GB, and RTX 4090 with per-second billing. Prices are dynamic and set by marketplace supply and demand — observed minimums range from $0.48/hr (A100) to $9.42/hr (B200). The marketplace model means pricing can be significantly below fixed-rate providers during low-demand periods. A strong option for teams that want access to next-generation hardware (B200, H200) at marketplace rates.

Strengths
  • B200 192GB and H200 141GB availability
  • Per-second billing — pay only for what you use
  • Dynamic marketplace pricing — can be well below fixed rates
  • Wide GPU catalog from RTX 4090 to B200
Weaknesses
  • Marketplace model — prices and availability fluctuate
  • No guaranteed availability for specific GPU models
  • Newer provider — limited public track record
Best For
Teams wanting B200 or H200 at marketplace ratesCost-sensitive workloads with flexible schedulingShort-burst GPU jobs benefiting from per-second billing
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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

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Region Coverage

GPUniq — 1 regions
Various
SF Compute — 1 regions
US

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Provider pages

GPUniq pricing and specs SF Compute pricing and specs

Key differences

GPUniq

GPU marketplace — B200, H200, H100, A100, RTX 4090 with per-second billing

SF Compute

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

AttributeGPUniqSF Compute
Provider typemarketplacespecialist
Billing modelPer-second (marketplace)On-demand, Contract
Min commitmentNoneNone (on-demand); contract options available
Regions1 (Various)1 (US)
Support tierStandardStandard
Best forTeams wanting B200 or H200 at marketplace rates, Cost-sensitive workloads with flexible schedulingAI training teams needing H100 clusters, Research teams wanting Slurm-managed GPU compute
Founded / HQ2023 · Various2023 · San Francisco, CA