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ACACloud Product Introduction

ACACloud integrates globally leading computing power service capabilities, dedicated to providing customers with comprehensive intelligent computing services. It helps developers quickly build high-performance model APIs, enabling them to focus on product innovation without worrying about the high computing power costs associated with large-scale promotion.

Core Product Services

Cloud Computing Power Service

  1. Provides cloud services based on GPU computing power
  2. Including elastic GPU cloud servers and GPU bare-metal servers
  3. Fully supports multimodal AI intelligent computing businesses
  4. Instantly available for use, billed based on actual usage, effectively reducing costs

Model API Service

Curated and validated models to accelerate enterprise AI application development

Training-Inference Convergence Service

  1. An integrated service platform
  2. Meets online service needs such as AI training, inference, online programming, and evaluation

Product Features

Visual Interaction

  1. Graphical interface for a unified service experience
  2. Visual interaction for job management, supporting job creation, submission, and scheduling management via the web interface
  3. Visual management of cluster resources

Infrastructure Convergence

  1. Computing Power Convergence: CPU and GPU converged clusters, providing a heterogeneous computing power resource pool with CPU + GPU
  2. Network Convergence: IB network supports parallel computing for cross-node data access and transmission; VPC is used for general computing data transmission or management traffic transmission

Cluster Scheduling

  1. Heterogeneous computing power support
  2. Cross-cluster scheduling of computing power resources
  3. HPC job scheduling, supporting multiple schedulers such as Slurm and PBS Pro
  4. Support for scheduling GPU resources via virtualization and containerization methods

Fine-Grained Operations

  1. Multi-Tenant Operation and Billing
  2. Customizable Billing Units
  3. Multiple Billing Models: Subscription-by-Period and Pay-as-You-Go
  4. Visual Bill Management

Multi-Level Governance

  1. Support for channels and distribution partners
  2. Multiple subscription and delivery methods
  3. Multi-role permission management

Security and Compliance

  1. Tenant Data Isolation
  2. Large Model Platform Based on Privacy-Preserving Computation
  3. Compliance Assurance: Product Compliance, Service Transparency, Data Localization

High Efficiency & Performance

  1. High-performance computing power for premium services, supported by integrated tools

Intelligent Operations and Maintenance (O&M)

  1. Unified O&M Management of Infrastructure
  2. Real-Time Monitoring of Computing Power Clusters
  3. Support from Automated O&M Systems

Intelligent Computing Expansion

  1. Containerized management of AI training and inference GPU clusters
  2. GPU virtualization, supporting GPU resource virtualization and resource pooling to enable GPU oversubscription
  3. K8S containerized architecture for GPU computing power management, supporting elastic scaling to achieve flexible scheduling of GPU computing power