AI
The complete guide to Google Colab Compute Prices and Performance
Google Colab is a cloud-based notebook that provides access to CPU, GPU, and TPU resources. These resources can be used to train deep learning models, run data analysis, and perform other computationally intensive tasks. Let’s take a look at all the compute options that Google Colab has to offer.
Compute
As of July 2023
| GPU Type | CPU | System Memory (RAM) | GPU Memory (VRAM) | Cost | Free Tier |
|---|---|---|---|---|---|
| None (CPU Only) | 2 | 12GB | None | $.008/hr | Yes |
| None (CPU Only) | 8 | 51GB | None | $.019/hr | No |
| T4 | 2 | 12GB | 16GB | $.196/hr | Yes |
| T4 | 8 | 51GB | 16GB | $.224/hr | No |
| V100 | 2 | 12GB | 16GB | $.536/hr | No |
| V100 | 8 | 51GB | 16GB | $.564/hr | No |
| A100 | 12 | 83GB | 40GB | $1.308/hr | No |
Disk Storage
As of July 2023
| Accelerator | Free Tier | Pro Tier |
|---|---|---|
| None (CPU only) | 107 GB | 225 GB |
| GPU | 78 GB | 166 GB |
Some datasets and workloads may require more disk storage. Take a look at how to manage your Google Colab state and storage for more information.
Network
As of July 2023. Testing shows the network can be highly variable.
| Network | Mbit/s |
|---|---|
| Up | 300-800 |
| Down | 600-2500 |
Conclusion
Overall, Google Colab provides a convenient and cost-effective way to access powerful computing resources for a wide range of tasks. While availability may vary, users can take advantage of usage statistics and monitoring tools to optimize their experience.