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Latitude.sh vs Modal: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Latitude.sh
Modal
Provider type
Bare-metal
Specialist
Founded
2020
2021
Headquarters
São Paulo, Brazil
New York, NY
Billing model
On-demand, Monthly (reserved), Yearly (reserved)
Per-second serverless
Min commitment
None
None
Support tier
Standard → Enterprise
Community → Enterprise
Regions
4 regions
3 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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Modal

Modal is a serverless GPU cloud purpose-built for AI workloads, offering per-second billing with zero idle cost. GPU catalog: B300, B200, H200 SXM, H100 SXM5, RTX PRO 6000, A100 80GB, A100 40GB, L40S, A10, L4, T4. Starter and Team plans include free monthly compute credits. Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand. Python-native SDK. SOC 2 and HIPAA compliant.

Strengths
  • B300, B200, H200 — competitive Blackwell/Hopper pricing
  • Per-second billing with zero idle cost — no minimum hours
  • Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand
  • Python-native SDK — no infra management
  • Starter and Team plans include free monthly compute credits
  • SOC 2, HIPAA, data residency controls
Weaknesses
  • Less control over underlying infrastructure vs raw VMs
  • Pricing can be unpredictable for sustained high-throughput workloads
  • Smaller GPU catalog than dedicated cluster providers
Best For
ML engineers wanting zero-ops GPU infrastructureServerless LLM inference and multi-modal workloadsRL rollouts and AI agent sandboxes at scaleTeams wanting one platform from prototype to production
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Region Coverage

Latitude.sh — 4 regions
US-EastEU-WestBR-SouthVarious (26 regions)
Modal — 3 regions
US-EastUS-WestEU

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Provider pages

Latitude.sh pricing and specs Modal pricing and specs

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Key differences

Latitude.sh

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

Modal

B300, B200, H200, H100 — serverless GPU, per-second billing

AttributeLatitude.shModal
Provider typebare-metalspecialist
Billing modelOn-demand, Monthly (reserved), Yearly (reserved)Per-second serverless
Min commitmentNoneNone
Regions4 (US-East, EU-West, BR-South, +1)3 (US-East, US-West, EU)
Support tierStandard → EnterpriseCommunity → Enterprise
Best forPerformance-critical workloads needing bare-metal, Latency-sensitive inference with no virtualization overheadML engineers wanting zero-ops GPU infrastructure, Serverless LLM inference and multi-modal workloads
Founded / HQ2020 · São Paulo, Brazil2021 · New York, NY