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Latitude.shvsSF Compute

Latitude.sh vs SF Compute: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Latitude.sh
SF Compute
Provider type
Bare-metal
Specialist
Founded
2020
2023
Headquarters
São Paulo, Brazil
San Francisco, CA
Billing model
On-demand, Monthly (reserved), Yearly (reserved)
On-demand, Contract
Min commitment
None
None (on-demand); contract options available
Support tier
Standard → Enterprise
Standard
Regions
4 regions
1 regions

Strengths & Best For

Latitude.sh

Latitude.sh provides bare-metal GPU servers with no virtualization overhead across 26 global regions. GPU catalog: HGX B300 (8×, 2304 GB VRAM, 800 Gbps dual-plane RoCE), RTX PRO 6000 (8×, 768 GB VRAM), H100 80GB. Monthly and yearly reserved pricing tiers are available at lower rates than on-demand hourly. 20 TB free outbound transfer per server. Automated bare-metal with Kubernetes (LKS), virtual machines, managed Postgres, and private networking. SOC 2 Type 2 certified. AMD EPYC Gen 4 CPUs with DDR5 RAM and NVMe storage.

Strengths
  • HGX B300 (8-GPU) — latest Blackwell bare-metal
  • RTX PRO 6000 (8-GPU) — 768 GB VRAM for large inference
  • H100 — competitive single-GPU bare-metal
  • 20 TB free outbound transfer per server
  • 26 global regions including Brazil (LATAM coverage)
  • Monthly and yearly reserved pricing tiers available
Weaknesses
  • Bare-metal only — no managed Kubernetes or MLOps tooling beyond LKS
  • Limited GPU catalog (3 GPU SKUs)
  • Fewer regions than hyperscalers
Best For
Performance-critical workloads needing bare-metalLatency-sensitive inference with no virtualization overheadLATAM teams needing Brazil regionTeams wanting automated bare-metal with Kubernetes
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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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Live GPU Pricing

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Region Coverage

Latitude.sh — 4 regions
US-EastEU-WestBR-SouthVarious (26 regions)
SF Compute — 1 regions
US

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Provider pages

Latitude.sh pricing and specs SF Compute pricing and specs

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Key differences

Latitude.sh

HGX B300, RTX PRO 6000, H100 — bare-metal in 26 regions

SF Compute

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

AttributeLatitude.shSF Compute
Provider typebare-metalspecialist
Billing modelOn-demand, Monthly (reserved), Yearly (reserved)On-demand, Contract
Min commitmentNoneNone (on-demand); contract options available
Regions4 (US-East, EU-West, BR-South, +1)1 (US)
Support tierStandard → EnterpriseStandard
Best forPerformance-critical workloads needing bare-metal, Latency-sensitive inference with no virtualization overheadAI training teams needing H100 clusters, Research teams wanting Slurm-managed GPU compute
Founded / HQ2020 · São Paulo, Brazil2023 · San Francisco, CA