Serverless GPU Infrastructure for Scalable and Efficient AI Training

Designed for Developers, Built for Business. Simple-to-use. Easy Collaboration. Efficient Deployment.

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Bitdeer AI dashboard showing running notebooks and completed training jobs

Intuitive Management Dashboard

Comprehensive Job and Notebook Management

Effortlessly manage notebooks and training jobs from our intuitive centralized dashboard. Monitor real-time job statuses and logs, track progress, allocate resources efficiently, and control access with ease—optimizing performance and ensuring scalability.

Comparison of training options for small vs large models in Bitdeer AI

Pay-Per-Use

Cost-Effective Computing

Maximize cost-efficiency by customizing your compute capacity model. Benefit from flexible pricing with reserved GPU plans or an auto-scaling elastic plan that charges based on actual usage.

Bitdeer AI training job architecture with PyTorch and TensorFlow pipelines

Scalable AI Training Capabilities

Distributed Training at Scale

Easily manage distributed training jobs across containerized workloads. Our AI Studio supports various frameworks such as PyTorch, TensorFlow and MPI, enabling training your models at different scales, reducing time to deployment.

JupyterLab interface with multiple notebooks displaying charts and code

Interactive Jupyter Lab Experience

Simplify AI Model Management and development

Utilize ML compute instances with Jupyter Notebook for interactive coding, data analysis, and model exploration. With a user-friendly interface, advanced visualization tools, and real-time collaboration, streamline workflows for model development and insights efficiently.