Control Plane
Want to Easily and Accurately Manage AI Computation and Operations?
AI-Stack provides a unified, intuitive control plane for centralized management and monitoring of compute resources, task scheduling, and model performance. Leveraging Role-Based Access Control (RBAC) and detailed resource quota settings, the platform ensures optimal resource allocation and security.
Centralized Management
Manage all computing resources and machine learning workloads from a single platform.
Security Compliance
AI-Stack supports multi-user and multi-team environments, ensuring the security of data and resources.
Intuitive Interface
Integrating feedback from dozens of clients, we designed the control interface with the most intuitive workflow for quick adoption by new users.
Maximize Your GPU Utilization
One-Click GPU Resource Scheduling
Intuitive task settings ensure maximum resource utilization and reduce idle time. Workloads are scheduled and executed automatically based on priority, resource requirements, and current resource status. Various dynamic scheduling strategies cater to different resource needs, enhancing resource efficiency.
Consolidated Management of Multiple GPUs on a Single Platform
With industry-leading heterogeneous management capabilities, AI-Stack unifies control of both major GPU brands, NVIDIA and AMD, on a single platform. It efficiently integrates massive compute power for High-Performance Computing (HPC), accelerating large language model training.
Customized AI Computing Environment
Custom Images
Users can create and use custom images to establish specific computing environments for running workloads. Pre-install the necessary software, neural network libraries, and other tools to create an environment that perfectly aligns with your work requirements. This flexibility enhances the efficiency of developing and running deep learning and large language models.
Batch Task Processing
Users can batch create and manage multiple tasks, simplifying workflows, and monitoring execution status.
Learn how to use AI-Stack
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Ecosystem Layers