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GPU Cloud

Train the most demanding AI, ML, and Deep Learning models. Scale from a single machine to an entire fleet of VMs with a few clicks.

Specifications

GPU Cloud has the following traits:

  • CPU

    From 26 to 240 CPUs
  • x86 architecture

  • arm architecture

  • RAM

    From 204800 to 1843200 MB
  • GPU

    From 1 to 8 GPUs
  • Bare metals

  • Virtual machines

  • Maximum network bandwidth

    Unknown

Features

Here's GPU Cloud's characteristics:

  • Block storage

    Detachable and on-demand virtual storage
  • Snapshot

    Storage save and restore
  • Network management

    Control of network, subnets or routes
  • Floating IP

    Virtual public IP addresses that can be assigned to a server
  • Public IPv4

    Public network manageable with IPv4
  • Public IPv6

    Public network manageable with IPv6
  • Private IPv4

    Private network manageable with IPv4
  • Private IPv6

    Private network manageable with IPv6
  • Marketplace

    Platform where users can browse and deploy pre-configured software applications
  • SSH management

    Store and assign SSH authentications
  • Autoscaling

    Automatically adjusts the number of resources based on triggers
  • Firewall

    Filters incoming and outgoing traffic, blocking unauthorized access based on predefined rules
  • Traffic cost pool

    Allows mutualization of network credits from all the instances
  • Monitoring

    Built-in system performance visualization.
  • Logging

    Built-in event and log visualization
  • Console

    VNC/IPMI Console is a remote access feature that provides direct, interactive access to an instance's console.

Pricing overview

It seems that we do not have standardized samples.

If you are part of this company do not hesitate to catch us for an update.