Optimum-TPU support and is optimized for v5e and v6e TPUs.
The TPU naming follows this format: <tpu_version>-<number_of_tpus>
TPU version:
For example, a v5litepod-8 is a v5e TPU with 8 tpus.
The HBM (High Bandwidth Memory) capacity per chip is 16GB for V5e, V5p and 32GB for V6e. So a v5e-8 (v5litepod-8), has 16GB*8=128GB of HBM memory
There are several key metrics to consider when evaluating TPU performance:
The actual performance you achieve will depend on your specific workload characteristics and how well it matches these hardware capabilities.
During the TPU VM creation use the following TPU VM base images for optimum-tpu:
For installation instructions, refer to our TPU setup tutorial. We recommend you use the alpha version with optimum-tpu, as optimum-tpu is tested and optimized for those.
More information at https://cloud.google.com/tpu/docs/runtimes#pytorch_and_jax
For more information on the different TPU hardware, you can look at: https://cloud.google.com/tpu/docs/v6e https://cloud.google.com/tpu/docs/v5p https://cloud.google.com/tpu/docs/v5e
Pricing informatin can be found here https://cloud.google.com/tpu/pricing
TPU availability can be found https://cloud.google.com/tpu/docs/regions-zones