A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 15, 03:30 UTC
[Docs] Make TPU ref prettier in google_tpu.md (#20356)
Signed-off-by: windsonsea <haifeng.yao@daocloud.io>
Michael Yao committed
Jul 2, 2025 at 17:04 UTC
ae9c4d416fb6406eddd3337af63ad4d42027af46
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docs/getting_started/installation/google_tpu.md
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@@ -58,9 +58,9 @@ assigned to your Google Cloud project for your immediate exclusive use.
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For more information about using TPUs with GKE, see:
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-- <https://cloud.google.com/kubernetes-engine/docs/how-to/tpus>
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-- <https://cloud.google.com/kubernetes-engine/docs/concepts/tpus>
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-- <https://cloud.google.com/kubernetes-engine/docs/concepts/plan-tpus>
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+- [About TPUs in GKE](https://cloud.google.com/kubernetes-engine/docs/concepts/tpus)
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+- [Deploy TPU workloads in GKE Standard](https://cloud.google.com/kubernetes-engine/docs/how-to/tpus)
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+- [Plan for TPUs in GKE](https://cloud.google.com/kubernetes-engine/docs/concepts/plan-tpus)
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## Configure a new environment
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