


What is Taiga Cloud?
Taiga Cloud is a European AI cloud computing provider offering GPU resources for machine learning workloads. It delivers NVIDIA GPUs like H100 and A100 in sovereign EU data centers, processes all data within European borders, and runs on carbon-free energy to help AI researchers and businesses deploy compute-intensive models without infrastructure management.
What sets Taiga Cloud apart?
Taiga Cloud distinguishes itself with a self-service portal and API integration that allows ML engineers and researchers to deploy GPU resources in minutes without waiting for approval cycles. The no-overbooking policy for CPU and RAM resources gives data scientists full access to their allocated computing power, unlike many cloud providers that share these critical resources between customers. With zero charges for inbound and outbound data transfer and a non-blocking network design, Taiga Cloud removes hidden costs that often plague high-data-volume AI projects.
Taiga Cloud Use Cases
- AI model training
- Deep learning inference
- High-performance computing
- Large-scale data analytics
Who uses Taiga Cloud?
Features and Benefits
- Access cloud GPU services hosted exclusively in European data centers, ensuring all data remains stored and processed within EU borders for regulatory compliance.
European Data Sovereignty
- Utilize advanced GPUs including H100, H200, A100, and A6000 models for high-performance AI workloads and large language model training.
Latest NVIDIA GPUs
- Run compute-intensive workloads on data centers powered by carbon-free energy with PUE values of 1.15 or less to minimize environmental impact.
Renewable-Powered Infrastructure
- Deploy GPU resources through either a self-service portal or API integration, with hourly billing for cost-effective resource management.
Flexible Access Options
- Transfer data efficiently with non-blocking network performance, Infiniband connectivity, and DE-CIX access designed for AI and ML workloads.
High-Performance Networking
Taiga Cloud Pros and Cons
Clean and intuitive interface makes project management easy even for beginners
Very cost-effective compared to similar project management tools
Flexible support for different project management approaches like Kanban and Scrum
Open source nature allows customization to specific needs
Performance issues when handling larger projects and boards
Limited reporting and analytics capabilities
Lacks native mobile apps for convenient access
Restricted features in free version with small team size limits