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SF Compute vs Vast.ai: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Marketplace
Founded
2023
2017
Headquarters
San Francisco, CA
San Francisco, CA
Billing model
On-demand, Contract
Per-second on-demand, Interruptible, Reserved
Min commitment
None (on-demand); contract options available
None
Support tier
Standard
Community → Enterprise
Regions
1 regions
4 regions

Strengths & Best For

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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Vast.ai

Vast.ai is a GPU marketplace where prices are set by supply and demand across 40+ data centers. 68+ GPU types spanning Blackwell, Hopper, Ada Lovelace, Ampere, Turing, Volta, Pascal — from B300 and H200 down to RTX 3090. Three pricing tiers: On-Demand (higher availability), Interruptible (lower cost, interruptible), Reserved (committed pricing). Per-second billing, no lock-in. SOC 2 certified. Check the live table for current rates.

Strengths
  • B300, H200, H100 — competitive frontier pricing on marketplace rates
  • RTX 5090, RTX 4090 — consumer GPU inference at marketplace rates
  • 68+ GPU types from RTX 3060 to B300 — wide selection
  • Per-second billing, no minimum hours, no lock-in
  • Interruptible tier: lower cost than on-demand
  • SOC 2 certified
Weaknesses
  • Marketplace model — hardware quality and reliability varies by host
  • No enterprise SLAs or uptime guarantees
  • Interruptible instances can be reclaimed at any time
Best For
Budget AI training and fine-tuningBatch inference on consumer GPUsTeams needing maximum GPU varietyResearchers avoiding waitlists and quotas
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Live GPU Pricing

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Region Coverage

Vast.ai — 4 regions
USEUAPACVarious (40+ data centers)

Popular Comparisons

Key differences

SF Compute

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

Vast.ai

B300, H200, RTX 5090 — 68+ GPU types, per-second billing

AttributeSF ComputeVast.ai
Provider typespecialistmarketplace
Billing modelOn-demand, ContractPer-second on-demand, Interruptible, Reserved
Min commitmentNone (on-demand); contract options availableNone
Regions1 (US)4 (US, EU, APAC, +1)
Support tierStandardCommunity → Enterprise
Best forAI training teams needing H100 clusters, Research teams wanting Slurm-managed GPU computeBudget AI training and fine-tuning, Batch inference on consumer GPUs
Founded / HQ2023 · San Francisco, CA2017 · San Francisco, CA