Does Latitude.sh have data centers in Europe, Asia, or the US?
💡 Answer
Infrastructure overview for Latitude.sh:
- Headquarters: Brazil
- GPU regions: 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo
- Uptime SLA: 99.9%
- Private networking: Yes
Multi-region availability allows you to deploy models closer to end users, reducing inference latency. It also provides redundancy options for critical workloads.
View the full list of data center regions at Latitude.sh official website.
More FAQs about Latitude.sh
- Is Latitude.sh better for training or inference?
- What is Latitude.sh Trustpilot rating and total review count?
- What pre-installed software is available on Latitude.sh GPU instances?
- How long does it take to get a GPU running on Latitude.sh?
- Is serverless GPU available at Latitude.sh for inference?
- How many GPUs can I use in a single instance at Latitude.sh?
- How do spot or preemptible instances work at Latitude.sh?
- Is data egress free at Latitude.sh?
- Does Latitude.sh have a free tier or trial period for new users?
- Does Latitude.sh offer H100, A100, or RTX 4090 GPUs?
- How is Latitude.sh priced compared to other cloud GPU providers?
Guides Where Latitude.sh Is Featured
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- Cloud GPU Providers with Per-Second Billing
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- Cloud GPU Providers with Serverless GPU Inference
- Cloud GPU Providers with Spot / Preemptible Instances
- Cloud GPU Providers with SSH Access
- Cloud GPU Providers with Zero Egress Fees
These guides include Latitude.sh alongside other cloud GPU providers, grouped by hardware, pricing, features, and infrastructure.
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.
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Latitude.sh
Bare metal GPU cloud across 23 global locations
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|---|---|
| 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