Does Latitude.sh offer H100, A100, or RTX 4090 GPUs?

💡 Answer

Latitude.sh maintains a diverse GPU catalog that spans entry-level to flagship accelerators:

A30, RTX A5000, RTX A6000, L40S, RTX 6000 Ada, A100 SXM, H100 SXM, GH200, RTX PRO 6000

The platform supports instances with up to 8 GPUs connected via NVLink, and the highest single-GPU memory available is 96 GB. Whether you need a single RTX 4090 for fine-tuning or a multi-H100 cluster for pre-training, Latitude.sh offers hardware options at multiple price points.

View real-time GPU availability and hardware details on 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