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

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

Overview

Attribute

Enverge

Latitude.sh

Provider type

Specialist

Bare-metal

Founded

2023

2020

Headquarters

United States

São Paulo, Brazil

Billing model

On-demand

On-demand, Monthly (reserved), Yearly (reserved)

Min commitment

None

Support tier

Standard

Standard → Enterprise

Regions

1 regions

4 regions

Strengths & Best For

Enverge

Enverge provides H100, A100, and L40S GPU cloud infrastructure for AI startups and research teams with flexible on-demand and reserved billing options designed for iterative model development and inference workloads. Fast provisioning and AI-focused support make it accessible for teams that need GPU compute without the overhead of enterprise cloud contracts. A practical on-demand GPU cloud for early-stage AI teams that want straightforward access to professional NVIDIA hardware.

Strengths

Flexible billing
Fast provisioning
AI-focused support

Weaknesses

Very small provider — limited scale
No enterprise SLAs
Limited documentation and support resources

Best For

AI startupsResearch teamsInference workloads

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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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