🚀GPU Cloud instances
Last updated
Last updated
Via “Available instances” page, you can select the GPU model and the number of GPUs that you need within your Pod. Corresponding GPUs will be displayed below, and you will be able to choose the Pod that fits your needs.
| 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. |
Through “GPU” and “Specs” tabs, you can display information corresponding to each Pod. Please find above the corresponding definitions. Then, you can click “launch”!
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.
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.
