AI Notebook
Cloud-based & budget optimized GPUs for the classroom
The Jupyter-based AI Notebook by Vocareum provides cloud-based GPUs w/ budget control & optimization for AI education. Immerse your learners in a browser-based AI learning experience, leveraging the power of accelerated GPU support & seamless Jupyter Notebook integration.
With direct integration to your LMS, instructors and their students get single-click access to GPUs for class instruction and assignments.
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FEATURES
Auto-grading for rubric-based assessments
Provide feedback directly in learners' codes / submissions
Compare student assignment submissions to ensure integrity
Automatic ranking of learners' submissions on leaderboard
Automatic homework distribution to graders
Integrated to Your LMS
Integration with all popular LMS including Canvas, Blackboard, D2L, Moodle, Sakai, edX, Coursera, and more via LTI
Team Projects and Peer Reviews
Support for team coding projects in a shared workspace, with the ability for learners to review and execute peer code
Single Platform for All Learning Needs
Use it for bootcamps or online, residentials, exams
Rich Collaboration Capabilities
Pending description
Data
Rich Collaboration Capabilities
AWS and Azure Lab
AWS and Azure Lab can help manage the budgets, resource policies, and delivery of credentials to learners.
Assignment Management
Instructors can set up rules and resources for assignments and assessments.
Exam Management
Provide secure and timed coding exams with passcodes and auto-grading.
Resource Management
Instructors can create budgets, policies, and limits.
Rest API
Rest API is available for custom integration solutions.
Features
- Effortless Deployment and Collaboration: Simplify the deployment and sharing of AI models in production environments. Streamline workflows, integrate with cloud services, and ensure smooth deployment and inference, facilitating effortless transitions from development to production.
- Comprehensive Assessment Suite: Save time with auto-grading, manual grading, peer-graded, and multiple-choice assessments
- Large Dataset Delivery: Seamlessly access and deliver large datasets, providing your learners with hands-on experience in tackling real-world AI challenges.
- Training Job Scheduling: Enable efficient learning with our built-in training job scheduler, optimizing productivity and flexibility in AI projects.
- Persistent Data Storage: Preserve data and work between sessions, ensuring uninterrupted learning journeys and eliminating the need for frequent data reuploads or instance restarts.
- Cost-Effective GPU Batch Processing: Keep costs low by limiting interactive notebook sessions to CPU and running training jobs on GPU spot instances.
- Seamless LMS Integration: Integrate with popular LMS such as Canvas, Blackboard, and Moodle for a cohesive and streamlined learning experience, simplifying course management and enhancing learner engagement.
FAQ's
- What kind of GPUs are available?
- You can configure any GPU available in AWS us-west-2 datacenter.
- How do I access the GPUs?
- Access GPUs through the Vocareum Notebook that integrates seamlessly with your LMS.
- How much does it cost?
- $10/month/active learner + AWS GPU charges (Vocareum ensures direct pass-through, retaining no GPU revenue).
- How do I manage variable GPU costs?
- Set a per user budget, create batch jobs and time constraints all through the Vocareum Notebook. You can also leverage spot instances for more cost control.
- How do I set up a Vocareum Notebook?
- More information here.