Is it possible to install TPUs in the local environment?
If not, any alternate option.
TPUs(Tensor Processing Units) are specialized hardware developed by Google and are typically deployed in Google Cloud data centers. There are some of the requirements for installing a TPU in the local environment:
- A dedicated server with at least 8 cores and 128 GB of RAM
- A high-performance graphics card (GPU)
- A high-speed network connection
- A specialized TPU chassis with cooling system
You can use Google Colab, which is a Jupyter notebook environment that provides access to TPUs. You need to change the notebook runtime setting and select the Hardware Accelerator as ‘TPU’ and click Save as mentioned in below screenshot.
or You can setup the cloud TPU environment using GCP by referring the steps mentioned in the link.
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Are Laptops coming up with this specialty "A specialized TPU chassis with cooling system’ or that product is available in the market like NVidia graphic cards to integrate with the device (laptop or desktop).
Not sure about that. Setting up TPUs in a local environment is very expensive and requires specialized hardware and cooling system. Hence, Installing a TPU in your local environment is not recommended for most users. If you need access to a TPU, it is generally better to use Google Cloud or another cloud provider.