Latitude.sh

Who is Latitude.sh best for? AI training, inference, bare metal GPU, fine-tuning, research, dedicated workloads, generative AI

Latitude.sh is categorized as a Bare Metal cloud GPU provider. The platform offers GPU models including A30, RTX A5000, RTX A6000, L40S, RTX 6000 Ada, A100 SXM, H100 SXM, GH200, RTX PRO 6000 with entry-level pricing at $0.35/hr.

Whether you are fine-tuning a language model, running inference at scale, or training computer vision models, the right fit depends on your specific requirements for GPU type, VRAM, interconnect, and budget..

Try Latitude.sh with a free trial — sign up at their official website.

Latitude.sh holds a Trustpilot rating of 3.7/5.0 with 3 reviews as of June 29, 2026. The company has been operating since 2001.

Trustpilot reviews provide insight into the day-to-day experience of using a cloud GPU provider, including billing transparency, instance availability, and technical support quality. Read the full reviews on Trustpilot.

Check the latest features and pricing at Latitude.sh official website.

Pre-installed frameworks at Latitude.sh: ML-optimized images, PyTorch, TensorFlow (user-installed), CUDA

Custom images: Yes — bring your own Docker container with any framework, library, or CUDA version you need.
Jupyter: No — interactive development environment for experimentation.
Persistent storage: Yes — keep datasets and checkpoints across sessions.

This combination lets you work with any ML stack, from standard PyTorch/TensorFlow workflows to specialized inference frameworks, with the flexibility to customize your environment.

For environment setup guides and CUDA compatibility, visit Latitude.sh official website.

Getting started on Latitude.sh is straightforward with a setup time of Seconds. The platform supports the following developer tools:

Docker support: Yes
SSH access: Yes
Jupyter notebooks: No
API / CLI management: Yes
Custom Docker images: Yes

Whether you prefer interactive development through a web-based notebook or fully automated infrastructure management through CLI scripts, Latitude.sh provides the tooling to support your workflow.

For CLI tools, SDK downloads, and deployment guides, check Latitude.sh official website.

Serverless GPU at Latitude.sh: No

Serverless GPU inference allows you to deploy models that automatically scale up when requests arrive and scale down to zero when idle, eliminating the cost of keeping GPUs running during quiet periods. This is particularly cost-effective for applications with variable or unpredictable traffic patterns.

Latitude.sh standard GPU pricing starts at $0.35/hr with Per-hour billing.

For serverless GPU endpoint setup guides and pricing, see Latitude.sh official website.

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.

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.

Spot/preemptible instances at Latitude.sh: No

Spot instances offer significantly reduced pricing (typically 50-90% cheaper) in exchange for the possibility that your instance may be interrupted when demand is high. This makes them ideal for fault-tolerant workloads like distributed training with checkpointing, batch inference, and hyperparameter sweeps.

Latitude.sh standard pricing starts at $0.35/hr with Per-hour billing.

Check current spot instance availability and discount rates at Latitude.sh official website.

When evaluating Latitude.sh, it is important to understand their data transfer policy: None

Egress charges are often an overlooked cost in cloud GPU budgeting. A provider with zero egress fees allows you to freely download model outputs, move datasets, and serve inference results without unexpected bandwidth bills.

Latitude.sh storage options: Local NVMe included (up to 4x 3.8TB), Block Storage $0.10/GB/mo, Filesystem Storage $0.05/GB/mo

See how data transfer costs scale with volume at Latitude.sh official website.

Here is what Latitude.sh currently offers for new users looking to evaluate the platform:

$200 via referral program

Given that the cheapest GPU option at Latitude.sh costs $0.35/hr, free credits provide a practical opportunity to run real workloads and compare Latitude.sh against other cloud GPU providers before committing financially.

For current credit offers and eligibility, visit Latitude.sh official website.

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.

The entry-level pricing at Latitude.sh begins at $0.35/hr, making it accessible for individual researchers and small teams. All usage is metered on a Per-hour basis, ensuring you are not overcharged for partial usage windows.

Latitude.sh also provides:
- Spot/preemptible instances: No
- Reserved instance discounts:
- Payment methods: Credit Cards, Apple Pay, Google Pay, Wire Transfer, Crypto (USDC), ACH, Regional (Boleto/PIX, Alipay, iDEAL)

Visit the to see pricing for specific GPU models like H100, A100, and RTX 4090.

Check current on-demand and reserved pricing at Latitude.sh official website.