Vocareum AI Gateway, AI Notebook & Sandbox, and Cloud Labs
Vocareum offers a campus-wide platform to manage Generative AI, cloud resources, and hands-on learning environments. The suite includes the AI Gateway for secure, budget-controlled access to AI resources; the AI Notebook for cloud-based, Jupyter-powered AI education and research with LMS integration and GPU support; and Cloud Labs for safe, scalable sandbox environments across major cloud providers. The solution is designed for classrooms, faculty, staff, and higher-ed institutions, with LMS integration and policy-based access control.
How it works
- Centralized AI access with governance. The AI Gateway provides secure, budget-controlled access to Generative AI models and tools, with fine-grained policy controls and usage analytics.
- Notebook-based learning and research. The AI Notebook offers a Jupyter-compatible environment integrated with the LMS, enabling easy migration of notebooks, access to GPUs, and support for leading AI models.
- Hands-on cloud labs. Cloud Labs deliver safe, scalable environments across AWS, Azure, Google Cloud, and Databricks, integrated with LMS for streamlined course management.
- Unified platform management. The Cloud Management Console and companion tools give administrators a centralized view of resources, usage, and policy enforcement.
Key Offerings
- AI Gateway: central hub for secure, budget-controlled access to Generative AI across campus with AI assistant integration and policy controls.
- AI Notebook: cloud-based, Jupyter-powered notebooks with LMS integration, GPU support, and access to models like ChatGPT, Claude, Gemini, Llama, and more.
- Cloud Labs: sandboxed, safe labs across AWS, Azure, Databricks, and GCP for hands-on cloud learning with LMS integration.
- Policy-based Access Control: granular policies to manage who can access what AI resources and under which constraints.
- LMS Integration: seamless integration with your Learning Management System for course management, assignment work, and grading workflows.
- GPU-Enabled Computing: single-click GPU access from major providers to support ML/AI coursework and experiments.
- Budget & Resource Management: controlled spend and resource allocation to scale with campus needs.
- Analytics & Reporting: usage analytics and performance insights to inform teaching decisions and compliance.
- Trusted by Institutions: adopted by thousands of organizations and millions of learners for AI-enabled education.
Safety and Compliance
- Centralized policy enforcement and access controls help ensure compliant and responsible use of AI resources in educational settings.
- Integration with FERPA, GDPR, and other privacy policies to protect student data within LMS-linked workflows.
Core Features
- Centralized AI Gateway for secure, budget-controlled access to generative AI across campus
- AI Notebook: Jupyter-based, LMS-integrated environment with GPU support and multiple AI models
- Cloud Labs: secure, scalable sandbox environments across AWS, Azure, Databricks, and Google Cloud
- Policy-driven access control and fine-grained permissions
- LMS integration for seamless course management and submission workflows
- Single-click GPU access from multiple cloud providers
- Analytics and reporting on AI usage and resource allocation
- Cloud Management Console for unified resource governance