Lablup Inc., established in 2015, is a technology company dedicated to making artificial intelligence (AI) accessible and scalable. Their flagship product, Backend.AI, is a hyperscale AI infrastructure operating platform designed to simplify, integrate, and accelerate AI training and inference processes. By leveraging proprietary container-level GPU virtualization, Backend.AI enables multiple users and workloads to share GPU resources efficiently, thereby reducing costs and maximizing utilization. This platform supports a wide range of AI accelerators and offers smart scaling for AI inference, facilitating seamless orchestration of compute resources across on-premises, cloud, and hybrid environments. Backend.AI is widely adopted across various industries, including finance, healthcare, research, and automotive, providing an easy-to-use yet powerful full-stack environment for AI infrastructure. Key Features and Functionality: - Container-Based Computing Cluster Platform: Backend.AI offers a flexible cluster backend tailored for AI frameworks, supporting scales from single PCs to large-scale infrastructures. - GPU Virtualization and Fractional GPU Allocation: The platform utilizes proprietary container-level GPU virtualization, allowing multiple users and workloads to share GPU resources efficiently, reducing costs and maximizing utilization. - Support for Various Computing and ML Frameworks: Backend.AI supports a range of AI accelerators and offers smart scaling for AI inference, facilitating seamless orchestration of compute resources across on-premises, cloud, and hybrid environments. - Web-Based User Interface: The platform provides an intuitive web UI for managing resources, monitoring performance, and visualizing data, enhancing user experience and operational efficiency. - RESTful APIs and Client Libraries: Backend.AI offers RESTful APIs and client libraries for seamless integration with existing tools and workflows, ensuring flexibility and adaptability. - Scalable Architecture: Designed to handle large datasets and complex models, the platform's scalable architecture meets the demands of extensive computational tasks. - Security Features: Backend.AI includes role-based access control and security features to protect sensitive data, ensuring compliance and data integrity. Primary Value and User Solutions: Backend.AI addresses the challenges AI developers and researchers face in efficiently managing and scaling computing resources. By providing a streamlined, container-based computing cluster platform with GPU virtualization and resource management capabilities, it enables users to build, train, and serve AI models of any size efficiently. The platform's support for various computing and machine learning frameworks, along with its scalable architecture, allows organizations to shorten time-to-deployment and reduce total cost of ownership. Backend.AI's seamless orchestration of compute resources across different environments empowers enterprises to focus on innovation and development without the complexities of infrastructure management.