What are the primary use cases for Latitude.sh?
💡 Answer
The primary use cases for Latitude.sh include: AI training, inference, bare metal GPU, fine-tuning, research, dedicated workloads, generative AI
Latitude.sh operates as a Bare Metal provider with pricing starting from $0.35/hr. The platform is well-suited for teams and individuals who need flexible GPU access without long-term commitments.
Available hardware: A30, RTX A5000, RTX A6000, L40S, RTX 6000 Ada, A100 SXM, H100 SXM, GH200, RTX PRO 6000
Explore Latitude.sh's full GPU lineup and decide if it fits your use case at their official website.
More FAQs about 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?
- What billing model does Latitude.sh use for cloud GPU services?
Guides Where Latitude.sh Is Featured
- Best Cloud GPU Providers with NVIDIA L40S
- Best Cloud GPUs for Video Rendering & VFX
- Cheapest Cloud GPUs Under $0.50/hr
- Cloud GPU Providers with API & CLI Management
- Cloud GPU Providers with Docker & Custom Images
- Cloud GPU Providers with Free Credits
- Cloud GPU Providers with Jupyter Notebook Support
- Cloud GPU Providers with Kubernetes Support
- Cloud GPU Providers with Multi-Node GPU Clusters
- Cloud GPU Providers with NVLink or InfiniBand
- Cloud GPU Providers with Per-Second Billing
- Cloud GPU Providers with Persistent Storage
- Cloud GPU Providers with Serverless GPU Inference
- Cloud GPU Providers with Spot / Preemptible Instances
- Cloud GPU Providers with SSH Access
- Cloud GPU Providers with Zero Egress Fees
These guides include Latitude.sh alongside other cloud GPU providers, grouped by hardware, pricing, features, and infrastructure.
Latitude.sh GPU Provider Review & Key Facts (July 2026)
Snapshot of Latitude.sh: GPU models, pricing, billing granularity, infrastructure, developer tools, support channels, and compliance. Data verified July 2026.
|
Latitude.sh
Bare metal GPU cloud across 23 global locations
|
|
|---|---|
| Overview | |
| Trustpilot Rating | 3.1 |
| Headquarters | Brazil |
| Provider Type | Bare Metal |
| Best For | AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI |
| GPU Hardware | |
| GPU Models | A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000 |
| Max VRAM (GB) | 96 |
| Max GPUs/Instance | 8 |
| Interconnect | NVLink |
| Pricing | |
| Starting Price ($/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