What billing model does Latitude.sh use for cloud GPU services?
💡 Answer
Latitude.sh offers cloud GPU instances starting at $0.35/hr. Billing is calculated on a Per-hour basis, which means you only pay for the exact compute time you use rather than rounding up to full hourly increments.
Spot/preemptible instances: No
Reserved instance discounts:
Latitude.sh supports the following payment methods: Credit Cards, Apple Pay, Google Pay, Wire Transfer, Crypto (USDC), ACH, Regional (Boleto/PIX, Alipay, iDEAL).
For live pricing across all GPU models and current availability, see Latitude.sh official website.
More FAQs about Latitude.sh
- What are the primary use cases for Latitude.sh?
- How many Trustpilot reviews does Latitude.sh have, and what is its score?
- What deep learning frameworks are available out of the box at Latitude.sh?
- Does Latitude.sh offer Jupyter Notebook support for GPU development?
- Can I deploy models on Latitude.sh that only run when called?
- What availability zones does Latitude.sh offer?
- What multi-GPU options are available at Latitude.sh for large-scale training?
- What savings can I get from spot instances at Latitude.sh?
- Does Latitude.sh charge for downloading model weights or training outputs?
- Is there a way to test Latitude.sh GPU instances without paying?
- How many GPU models does Latitude.sh have in its fleet?
Guides Where Latitude.sh Is Featured
- Best Cloud GPU Providers with AMD MI300X
- Best Cloud GPUs for AI Model Training
- Cheapest Cloud GPUs Under $1/hr
- Cloud GPU Providers with API & CLI Management
- Cloud GPU Providers with Docker & Custom Images
- Cloud GPU Providers with Free Credits
- Cloud GPU Providers with Jupyter Notebook Support
- Cloud GPU Providers with Kubernetes Support
- Cloud GPU Providers with Multi-Node GPU Clusters
- Cloud GPU Providers with NVLink or InfiniBand
- Cloud GPU Providers with Per-Second Billing
- Cloud GPU Providers with Persistent Storage
- Cloud GPU Providers with Serverless GPU Inference
- Cloud GPU Providers with Spot / Preemptible Instances
- Cloud GPU Providers with SSH Access
- Cloud GPU Providers with Zero Egress Fees
These guides include Latitude.sh alongside other cloud GPU providers, grouped by hardware, pricing, features, and infrastructure.
Latitude.sh GPU Provider Review & Key Facts (August 2026)
Snapshot of Latitude.sh: GPU models, pricing, billing granularity, infrastructure, developer tools, support channels, and compliance. Data verified August 2026.
|
Latitude.sh
Bare metal GPU cloud across 23 global locations
|
|
|---|---|
| Overview | |
| Trustpilot Rating | 2.8 |
| Headquarters | Brazil |
| Provider Type | Bare Metal |
| Best For | AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI |
| GPU Hardware | |
| GPU Models | A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000 |
| Max VRAM (GB) | 96 |
| Max GPUs/Instance | 8 |
| Interconnect | NVLink |
| Pricing | |
| Starting Price ($/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