Use Case

Fine-tuning.

Train and customize AI models with efficient, cost-effective compute designed for large-scale fine-tuning.

Accelerate fine-tuning at any scale.

Run full-scale fine-tuning with high-performance GPUs and parallelized workloads.

Optimized efficiency

Leverage top-tier GPUs with ultra-fast networking and disk I/O.

Scale on demand

Scale up for massive training runs or down for targeted fine-tuning.

Cost-effective compute without compromise.

Get the compute power you need without overpaying for idle resources.

Flexible pricing

Only pay for active training time with no idle GPU or overhead costs.

Optimize resources

Tailor GPU, memory, and storage configurations to your specific needs.

Simplify your fine-tuning workflow compute without compromise.

Streamline the process with user-friendly tools and environments.

Pre-config setups

Deploy environments with all necessary dependencies pre-installed.

Instant deployment

Serve fine-tuned models directly after training completion.
Developer Tools

Built-in developer tools & integrations.

Powerful APIs, CLI, and integrationsthat fit right into your workflow.

Full API access.

Automate everything with a simple, flexible API.

CLI & SDKs.

Deploy and manage directly from your terminal.

GitHub & CI/CD.

Push to main, trigger builds, and deploy in seconds.

Build what's next.

The most cost-effective platform for building, training, and scaling machine learning models—ready when you are.