(tpu-v5e-intro)= # {{ product_v5e }} {{ product_v5e }} is a cost-efficient generation built for training and serving transformer, text-to-image and convolutional models. Each chip has {{ v5e_tensorcores }} TensorCore and a pod holds {{ v5e_chips_per_pod }} chips in a {{ v5e_topology }}. Use the specification topic to size a slice, the configurations topic to choose a slice shape, and the VM types topic to see what each VM provides. :::::{container} manifest-nav - **[{{ product_v5e }} specifications](../topics/tpu-v5e-specifications.md)** Per-chip and per-pod specifications for {{ product_v5e }}. - **[{{ product_v5e }} supported configurations](../topics/tpu-v5e-configurations.md)** The slice shapes you can request for {{ product_v5e }}, and how many chips and hosts each uses. - **[{{ product_v5e }} VM types](../topics/tpu-v5e-vm-types.md)** The VM types available for {{ product_v5e }} and the host resources each one provides. % manifest:published-in unfiltered,v5e - **[Choose a {{ product_v5e }} slice shape](../topics/tpu-v5e-slice-planning.md)** Choose the slice shape for a {{ product_v5e }} TPU VM from the number of chips your workload needs, then check your quota before you create the VM. % manifest:end ::::: :::::{container} manifest-nav **Related information** [{{ product_v5e }} specifications](../topics/tpu-v5e-specifications.md) [{{ product_v5e }} supported configurations](../topics/tpu-v5e-configurations.md) [{{ product_v5e }} VM types](../topics/tpu-v5e-vm-types.md) [Create a TPU VM](../topics/tpu-create-vm.md) ::::: ```{toctree} :maxdepth: 2 :hidden: tpu-v5e-specifications tpu-v5e-configurations tpu-v5e-vm-types tpu-v5e-slice-planning ```