Heidi by Adaptive Computing is a cloud-based supercomputing platform designed to democratize access to High-Performance Computing (HPC) and Artificial Intelligence (AI) for students and educators. Tailored for K–12 and higher education, Heidi empowers schools and universities to simulate real-world phenomena, develop AI applications, and explore STEM disciplines—without the need for costly infrastructure. With an intuitive interface, preloaded datasets, and over 150 open-source HPC and AI applications, Heidi simplifies complex computing and brings supercomputing into the classroom.

Features

• On-Demand Data Center (ODDC): Multi-cloud access with automated infrastructure deployment.
• Preloaded HPC & AI Applications: Includes TensorFlow, PyTorch, Keras, Image Classification, and more.
• Scalable & Secure Cloud-Based Infrastructure: Accessible from any device, ensuring flexibility and security.
• Comprehensive Curriculum: Enables students to learn how to build and deploy HPC and AI clusters.
• Plug-and-Play Deployment: Easily integrates into school environments with minimal setup.
• Built-in Analytics: Provides actionable insights for educators to track student progress and system usage.
• Collaboration-Friendly: Supports team-based projects and collaborative learning environments.

Benefits

• Affordability: Cost per student is less than the price of a textbook, making it accessible for schools of all sizes.
• Accessibility: No need for expensive hardware—students can access supercomputing power from any device.
• Educational Impact: Enhances STEM education by providing real-world computing experiences.
• Ease of Use: Intuitive interface and preloaded tools reduce the learning curve for both students and educators.
• Scalability: Grows with institutional needs, from small classrooms to large university deployments.
• Future-Ready Skills: Prepares students for careers in AI, data science, and high-performance computing.