I encountered difficulties accessing specific pricing details for Google Cloud GPUs directly from the official Google Cloud website. However, I can provide general guidance on how Google Cloud GPU pricing typically works.

Google Cloud GPU Pricing Overview

1. Pricing Model:

   • Google Cloud GPUs are usually priced per GPU, per hour. This means you are billed for the time your VM instance, equipped with a GPU, is running.

2. Factors Affecting Cost:

   • Type of GPU: Different GPU models have different prices. For example, NVIDIA Tesla GPUs like the T4, V100, and P100 may have varying costs.
   • Region: Prices may vary based on the region (geographic location) where your VM instance is deployed.
   • Sustained Use Discounts: Google Cloud offers sustained use discounts that automatically apply when a VM instance is used for a significant portion of the billing month.

3. Additional Costs:

   • Remember that the cost of the underlying VM instance is separate from the GPU. You’ll pay for the VM’s vCPUs, memory, and storage, in addition to the GPU.
   • Egress network traffic (data sent from your GCP resources to outside GCP) can incur additional costs.

4. Estimating Costs:

   • It’s recommended to use the Google Cloud Pricing Calculator to estimate costs more accurately. This tool allows you to specify your GPU requirements and other related resources to get a better idea of the overall expenses.

For the most accurate and up-to-date pricing information, visiting the official Google Cloud Pricing page or using the Google Cloud Pricing Calculator would be the best approach. You can find these resources on the Google Cloud Platform website.