Building Next-Gen AI Training Environments

Scalable Infrastructure for AI Education

Empower your team with tailored AI learning infrastructure at ETH Zurich. DomaLearn provides end-to-end solutions designed for research labs, universities, and corporate training, ensuring efficient resource utilization and high throughput for model development.

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Our Core Offerings

Comprehensive AI Learning Infrastructure Solutions

From cluster design to management and optimization, DomaLearn ensures a robust environment for AI model training and educational programs. Our approach emphasizes modularity, reliability, and ease of integration into existing workflows.

Infrastructure Design

We plan and architect scalable, fault-tolerant computing clusters optimized for intensive AI workloads, balancing compute power, storage, and networking for peak performance.

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Deployment & Management

Deploy resource management tools and orchestrate workflows with automation for efficient operations, minimizing manual intervention and maximizing uptime.

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Monitoring & Support

Implement real-time performance monitoring and receive expert guidance to troubleshoot issues quickly and maintain smooth learning sessions.

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Join the Future

Start Building Your Infrastructure Today

Contact DomaLearn to discuss your requirements and receive a detailed proposal tailored to your AI learning objectives. Let’s collaborate to create a stable and efficient environment for your projects.

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Meet Our Team

Our multidisciplinary team brings expertise in systems engineering, AI research, and educational program management, committed to delivering high-quality infrastructure solutions.

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Dr. Markus Keller

Lead Infrastructure Architect

Dr. Keller specializes in distributed systems and high-performance computing, ensuring reliable training environments and seamless resource scaling.

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Dr. Sofia Müller

Principal AI Infrastructure Engineer

She oversees the end-to-end deployment of distributed compute workloads, fine-tuning resource allocation to maintain consistent throughput for model training at DomaLearn.

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Lukas Müller

Cloud Infrastructure Specialist

He configures container orchestration frameworks and implements secure network topologies, ensuring smooth integration with existing data ecosystems.

Infrastructure Features

Robust Foundations for AI Workloads

DomaLearn provides a comprehensive infrastructure platform that addresses the unique needs of AI research. From dynamic resource management to end-to-end pipeline automation, our solution is engineered for performance and reliability.

Dynamic Scaling

Automatically adjust compute capacity in response to workload demands, ensuring efficient utilization without manual intervention.

Flexibility

Pipeline Automation

Seamlessly orchestrate data ingestion, preprocessing, and model training tasks through integrated workflow management tools.

Automation

Network Security

Implement multi-layered security policies and encrypted communication channels to protect sensitive research data.

Security

Real-Time Monitoring

Gain actionable insights into system performance with dashboards, alerts, and log analytics.

Observability

Data Versioning

Track dataset changes and model artifacts over time to reproduce experiments and maintain auditability.

Traceability

Collaboration Suite

Enable cross-team collaboration with shared repositories, role-based access controls, and integrated communication channels.

Collaboration

Elevate Your AI Projects

Leverage DomaLearn’s infrastructure expertise to streamline setup and maintenance of AI environments. Researchers and engineers gain immediate access to production-grade resources, minimizing setup time and maximizing focus on innovation.

Tailored Hardware Options

Select from GPU-accelerated nodes, high-throughput storage, and custom network topologies to match specific computational requirements.

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End-to-End Workflow

From data ingestion to model deployment, our platform supports the entire lifecycle with integrated version control and automated pipelines.

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Around-the-Clock Support

Our technical team monitors system health continuously, providing responsive troubleshooting and updates to maintain operational continuity.

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Let's connect and elevate your AI workflows

Get in Touch

Contact Information

Fill out the form below and our team will respond promptly with details tailored to your AI infrastructure needs.

Office Address

ETH Zurich, Rämistrasse 101, 8092 Zurich, Switzerland

Phone

+41 76 062 0800

Email

info@domalearn.info

Deployment Process

Structured Implementation Roadmap

A clear framework for setting up and optimizing your AI infrastructure.

  • Initial Assessment
    We analyze project goals and current resources to recommend an infrastructure blueprint aligned with research objectives.
  • Architectural Design
    Our engineers create detailed schematics for compute, storage, and network components, ensuring scalability and efficiency.
  • Live Deployment
    Execute automated provisioning scripts and configuration management to launch a production-ready AI environment at ETH Zurich.
Headquarters

ETH Zurich, Rämistrasse 101, 8092 Zurich, Switzerland

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