How many GPUs can I use in a single instance at Latitude.sh?
💡 Answer
Distributed training support at Latitude.sh:
NVLink interconnect with up to 8 GPUs per instance. Multi-node training: No.
For context, training a 70B parameter model typically requires 8+ GPUs with high-bandwidth interconnect. The available GPU models at Latitude.sh include:
A30, RTX A5000, RTX A6000, L40S, RTX 6000 Ada, A100 SXM, H100 SXM, GH200, RTX PRO 6000
Visit the to see multi-GPU instance configurations and pricing.
See how Latitude.sh handles distributed training infrastructure at their 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?
- Does Latitude.sh have data centers in Europe, Asia, or the US?
- 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
- Best Cloud GPU Providers with NVIDIA RTX A6000
- Best Cloud GPUs for AI Model Training
- Cheapest Cloud GPUs Under $1/hr
- Cloud GPU Providers with API & CLI Management
- Cloud GPU Providers with Docker & Custom Images
- Cloud GPU Providers with Free Credits
- Cloud GPU Providers with Jupyter Notebook Support
- Cloud GPU Providers with Kubernetes Support
- Cloud GPU Providers with Multi-Node GPU Clusters
- Cloud GPU Providers with NVLink or InfiniBand
- Cloud GPU Providers with Per-Second Billing
- Cloud GPU Providers with Persistent Storage
- Cloud GPU Providers with Serverless GPU Inference
- Cloud GPU Providers with Spot / Preemptible Instances
- Cloud GPU Providers with SSH Access
- Cloud GPU Providers with Zero Egress Fees
These guides include Latitude.sh alongside other cloud GPU providers, grouped by hardware, pricing, features, and infrastructure.
Latitude.sh GPU Provider Review & Key Facts (May 2026)
Snapshot of Latitude.sh: GPU models, pricing, billing granularity, infrastructure, developer tools, support channels, and compliance. Data verified May 2026.
|
Latitude.sh
Bare metal GPU cloud across 23 global locations
|
|
|---|---|
| Overview | |
| Trustpilot Rating | 3.7 |
| Headquarters | Brazil |
| Provider Type | Bare Metal |
| Best For | AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI |
| GPU Hardware | |
| GPU Models | A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000 |
| Max VRAM (GB) | 96 |
| Max GPUs/Instance | 8 |
| Interconnect | NVLink |
| Pricing | |
| Starting Price ($/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