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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

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[doc] add project flag to gcloud TPU command (#19664)

Signed-off-by: David Xia <david@davidxia.com>

David Xia committed Jun 16, 2025 at 21:00 UTC 119f683949dfed10df769fe63b2676d7f1eb644e
1 file changed +2 -2
docs/getting_started/installation/ai_accelerator/tpu.inc.md
+2 -2
@@ -90,10 +90,10 @@ gcloud alpha compute tpus queued-resources create QUEUED_RESOURCE_ID \
90 | RUNTIME_VERSION | The TPU VM runtime version to use. For example, use `v2-alpha-tpuv6e` for a VM loaded with one or more v6e TPU(s). For more information see [TPU VM images]. |
91 | SERVICE_ACCOUNT | The email address for your service account. You can find it in the IAM Cloud Console under *Service Accounts*. For example: `tpu-service-account@<your_project_ID>.iam.gserviceaccount.com` |
92
93 -Connect to your TPU using SSH:
93 +Connect to your TPU VM using SSH:
94
95 ```bash
96 -gcloud compute tpus tpu-vm ssh TPU_NAME --zone ZONE
96 +gcloud compute tpus tpu-vm ssh TPU_NAME --project PROJECT_ID --zone ZONE
97 ```
98
99 [TPU versions]: https://cloud.google.com/tpu/docs/runtimes