AI/ML & Data Science on Leafcloud

Leverage Leafcloud's sustainable cloud infrastructure for your artificial intelligence, machine learning, and data science workloads.

GPU Computing

Access powerful GPU resources for training models, running inference, and accelerating compute-intensive workloads.

• Installing GPU Drivers - Set up NVIDIA drivers and CUDA toolkit
• Using a GPU - Configure and utilize GPU instances for your workloads

Jupyter Notebooks

Set up interactive development environments for data analysis and machine learning experiments.

• All-in-one Jupyter Image - Quick start with our pre-configured Jupyter image
• Setting up Jupyter - Manual Jupyter Notebook installation and configuration
• JupyterLab with Miniconda - Advanced setup with Miniconda environment management

Private LLM Deployment

Run your own large language models on Kubernetes for privacy and control.

• Setup Private LLM on Kubernetes - Deploy and manage private LLM instances

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Why Leafcloud for AI/ML?

• Sustainable Computing - Train models with renewable energy
• Flexible GPU Options - Access to latest NVIDIA GPUs
• High Performance - Low-latency networking and fast storage
• Cost Effective - Pay only for what you use
• Data Privacy - Keep your models and data in Europe

Start building your AI/ML solutions on sustainable infrastructure today.