GPU Server

GPU Virtual Servers Optimized for Cloud Computing

GPU Server allows users to assign only the amount of necessary virtual computing resources at the time when needed, without having to purchase CPU, GPU, memory or other infrastructure resources from servers. It is ideal for workloads that require fast computation such as AI model experiment, prediction and inference, and users can select resources with optimal performance depending on job type and size.

Overview

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Service Architecture

User → Internet → Samsung Cloud Platform
Samsung Cloud Platform Internet Gateway → (Apply for Public IP) → IGW Firewall → VPC → [Cloud Monitoring, Logging and audit, Backup]
VPC → [File Storage, Object Storage, Block Storage]
VPC : Subnet [Security Group - GPU - GPU Server]

Key Features

  • Virtual Server creation/management
    1. Select GPU card quantity based on task type and required specifications(A100 and H100)
    2. Offer various OS standard images for creating resources conveniently(RHEL and Ubuntu)
    3. Securely connect to the OS using key pairs
    4. Manage tag creation/revision
  • Storage and network connection
    1. Provide additional storage besides OS disk
    2. Set up subnet/IP and enable the use/turn off NAT IP setting
    3. Provide Security Group integration setting
      ※ Custom images do not support backup services
  • Convenient service management
    1. Manage creation or deletion of custom images
    2. Manage custom image copies between accounts

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