How long does it take to get a GPU running on Latitude.sh?

💡 Answer

Getting started on Latitude.sh is straightforward with a setup time of Seconds. The platform supports the following developer tools:

Docker support: Yes
SSH access: Yes
Jupyter notebooks: No
API / CLI management: Yes
Custom Docker images: Yes

Whether you prefer interactive development through a web-based notebook or fully automated infrastructure management through CLI scripts, Latitude.sh provides the tooling to support your workflow.

For CLI tools, SDK downloads, and deployment guides, check Latitude.sh official website.

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Latitude.sh GPU Provider Review & Key Facts (May 2026)

Snapshot of Latitude.sh: GPU models, pricing, billing granularity, infrastructure, developer tools, support channels, and compliance. Data verified May 2026.

Latitude.sh GPU Provider Review & Key Facts (May 2026)
Latitude.sh
Bare metal GPU cloud across 23 global locations
Visit Latitude.sh
Overview
Trustpilot Rating 3.7
Headquarters Brazil
Provider Type Bare Metal
Best For AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI
GPU Hardware
GPU Models A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000
Max VRAM (GB) 96
Max GPUs/Instance 8
Interconnect NVLink
Pricing
Starting Price ($/hr) $0.35/hr
Billing Granularity Per-hour
Spot/Preemptible No
Reserved Discounts N/A
Free Credits $200 via referral program
Egress Fees None
Storage Local NVMe included (up to 4x 3.8TB), Block Storage $0.10/GB/mo, Filesystem Storage $0.05/GB/mo
Infrastructure
Regions 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo
Uptime SLA 99.9%
Developer Experience
Frameworks ML-optimized images PyTorch TensorFlow (user-installed) CUDA
Docker Support Yes
SSH Access Yes
Jupyter Notebooks No
API / CLI Yes
Setup Time Seconds
Kubernetes Support No
Business Terms
Min Commitment None
Compliance Single-tenant isolation DPA available
Latitude.sh