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    • Compute Instance configuration
      • Persistent storage (volumes)
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    • Inference Instance configuration
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  • 🔗API Reference
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    • GPU Cloud instances
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On this page
  • How to display GPUs available?
  • Pods characteristics
  • How to select my Pod?
  • I need a persistent storage!

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Compute instances

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Last updated 2 months ago

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How to display GPUs available?

On the Compute page, you'll find a list of all our available instances, sorted by model and number of GPUs. Filters are available to help you find the right offer for your needs.

Pods characteristics

Characteristics
Definition

vRAM

Virtual Random Access Memory: The amount of memory allocated to a virtual machine for its operations, functioning similarly to physical RAM in a physical machine.

Memory in GB

The total amount of memory available for use in a system, typically measured in gigabytes (GB), which can be used for running applications and processes.

vCPU

Virtual Central Processing Unit: An abstraction of physical CPU cores, allocated to virtual machines to handle computational tasks.

Storage

The space available for storing data, applications, and system files, measured in gigabytes (GB) or terabytes (TB).

NVLink

A high-speed interconnect technology developed by NVIDIA to enable fast communication between GPUs, and between GPUs and CPUs, for improved performance and efficiency in

computational tasks.

⚠️ The Storage of your Pod is non persistent.

How to select my Pod?

Through “GPU” and “Specs” tabs, you can display information corresponding to each Pod. Please find above the corresponding definitions. Then, you can click “launch”!

I need a persistent storage!

If you need a persistent storage to store your dataset at the end of your instance, you can thick the appropriate checkbox to display only Pods for which the persistent storage is available.

Please consider those rules for Volumes management
  • Volumes should be hosted in the same Cloud and region as Pod selected

  • Once created, volume size can be increased but not decreased, to preserve your data

  • A single volume can contain several datasets, but it is not possible to link a single Pod with more than one Volume.

According to the Pod you'll choose, you will have the possibility to create a volume directly from the launching path, hosted in the appropriate cloud & region.

It means that it will only host your data during the instance. Then, if you haven't subscribed to a volume, your dataset will be deleted. Learn

🚀
how to get a volume in Sesterce Cloud!