Shonan Dataworks ML Cloud™

A Secure Machine Learning Laboratory

Shonan Dataworks ML Cloud™ is a powerful, Jupyter notebook-based machine-learning laboratory platform, purpose-built to support secure data-science research collaboration. It provides a controlled environment for researchers and enterprise teams to explore, build and deploy advanced ML models with confidence.

ML Cloud platform workflow from workspace launch to JupyterLab

Our Vision: A Collaborative ML Laboratory

  • Standardized data-science workspaces

    Each user is provisioned with a secure, isolated JupyterHub environment, offering familiar tools in a controlled cloud setting.

  • Transparent collaboration

    Built-in content management and versioning enable seamless collaboration between internal teams and external researchers, with clear change tracking and history.

  • Simple project administration

    Through an intuitive interface, administrators can allocate computing resources, manage libraries and data sources, and coordinate research participants.

  • Reproducible research

    The platform ensures that experiments can be precisely replicated, thanks to consistent program code, library versions and execution environments.

  • Utilization insights

    A customizable dashboard delivers detailed analytics on platform usage to help optimize research resource planning.

Administrative Control

  • Rigorous data security

    Each dataset and workspace is assigned a security level, ensuring only authorized users with adequate security clearance can access sensitive information.

  • Resource allocation management

    Administrators control the distribution of CPU, GPU and software resources through a centralized dashboard.

  • Team-based research structure

    Projects are organized into ML Teams, with Team Admins overseeing participants, data and assets.

  • Audit transparency

    Every action, from user access, research activity, team management to system configuration setting, is comprehensively logged for accountability and compliance.

Robust Security Features

  • Principle of least privilege

    Fine-grained permissions grant users access only to the resources they need.

  • Secure platform access

    OAuth integration and cloud-native authentication allow secure storage and management of user directories.

  • Isolated cloud environmental control

    Infrastructure-as-Code provisions discrete test, staging and production environments, keeping projects segmented.

  • Configurable login policies

    Administrators define password complexity, expiry and reuse rules to meet corporate standards.

  • Brute-force detection & alerts

    Automated rate limiting and notification of repeated failed login attempts protect against intrusion.

Advanced Cloud Resource Management

  • Dynamic resource allocation

    Server resources are provisioned on demand for research execution and automatically released when idle.

  • Real-time environment monitoring

    Health dashboards track CPU/memory usage and alert administrators when thresholds are exceeded.

  • Billing transparency

    A billing dashboard tracks cloud resource consumption, enabling cost control and budget forecasting.

Kubernetes analytics dashboard showing pod metrics and capacityBilling analytics dashboard showing cloud cost metrics

Shonan Dataworks™ serves sophisticated Machine Learning

We not only provide managed, isolated hosting, or deploy to customer cloud accounts, but also encourage engagement with our network of data science practitioners to help you achieve your research goals.

Data Scientists

example engagement...YOUR researchers securely collaborate with SD data scientists (and others, as required!)

configurable options...YOUR researchers, optionally supported by SD

Team Admins

example engagement...YOUR practitioners' controllership encouraged; SD may also support these tasks

configurable options...YOUR managers, optionally supported by SD

Platform Admins

example engagement...YOUR senior research management has full control over the laboratory, with SD support

configurable options...YOUR senior management, optionally supported by SD

Cloud Account

example engagement...WE provide an instance in our AWS cloud account for the engagement

configurable options...YOUR AWS account, or secure provision by SD

Platform Maintenance

example engagement...WE perform platform maintenance, feature enhancement, patching, etc

configurable options...SD (100%)