1
0
Fork 0
mirror of https://github.com/imjasonh/gcloud-help synced 2026-07-18 14:56:05 +00:00

gcloud: Wed Jul 30 10:59:26 UTC 2025

This commit is contained in:
Automated 2025-07-30 10:59:26 +00:00
parent 0acbd64d02
commit 0f69685b06
221 changed files with 11951 additions and 506 deletions

View file

@ -6,8 +6,7 @@ SYNOPSIS
[--description=DESCRIPTION]
[--encryption-kms-key-name=ENCRYPTION_KMS_KEY_NAME]
[--endpoint-id=ENDPOINT_ID] [--gdc-zone=GDC_ZONE]
[--gdce-zone=GDCE_ZONE] [--labels=[KEY=VALUE,...]] [--network=NETWORK]
[--region=REGION]
[--labels=[KEY=VALUE,...]] [--network=NETWORK] [--region=REGION]
[--request-response-logging-rate=REQUEST_RESPONSE_LOGGING_RATE
--request-response-logging-table=REQUEST_RESPONSE_LOGGING_TABLE]
[GCLOUD_WIDE_FLAG ...]
@ -40,9 +39,6 @@ OPTIONAL FLAGS
--gdc-zone=GDC_ZONE
The name of the GDC zone. If set, the endpoint is for GDCc.
--gdce-zone=GDCE_ZONE
The name of the GDCE zone. If set, the endpoint is in GDCE.
--labels=[KEY=VALUE,...]
List of label KEY=VALUE pairs to add.

View file

@ -77,10 +77,10 @@ OPTIONAL FLAGS
type
The type of the accelerator. Choices are 'nvidia-a100-80gb',
'nvidia-b200', 'nvidia-h100-80gb', 'nvidia-h100-mega-80gb',
'nvidia-h200-141gb', 'nvidia-l4', 'nvidia-tesla-a100',
'nvidia-tesla-k80', 'nvidia-tesla-p100', 'nvidia-tesla-p4',
'nvidia-tesla-t4', 'nvidia-tesla-v100'.
'nvidia-b200', 'nvidia-gb200', 'nvidia-h100-80gb',
'nvidia-h100-mega-80gb', 'nvidia-h200-141gb', 'nvidia-l4',
'nvidia-tesla-a100', 'nvidia-tesla-k80', 'nvidia-tesla-p100',
'nvidia-tesla-p4', 'nvidia-tesla-t4', 'nvidia-tesla-v100'.
count
The number of accelerators to attach to each machine running the

View file

@ -4,6 +4,7 @@ NAME
SYNOPSIS
gcloud beta ai model-garden models deploy --model=MODEL
[--accelerator-count=ACCELERATOR_COUNT]
[--accelerator-type=ACCELERATOR_TYPE] [--accept-eula] [--asynchronous]
[--container-args=[ARG,...]] [--container-command=[COMMAND,...]]
[--container-deployment-timeout-seconds=CONTAINER_DEPLOYMENT_TIMEOUT_SECONDS]
@ -50,9 +51,15 @@ REQUIRED FLAGS
in the format of {publisher_name}/{model_name}@{model_version_name},
e.g. google/gemma2@gemma-2-2b. If it is a Hugging Face model, it should
be in the convention of Hugging Face models, e.g.
meta-llama/Meta-Llama-3-8B.
meta-llama/Meta-Llama-3-8B. If it is a Custom Weights model, it should
be in the format of gs://{gcs_bucket_uri}, e.g.
gs://-model-garden-public-us/llama3.1/Meta-Llama-3.1-8B-Instruct.
OPTIONAL FLAGS
--accelerator-count=ACCELERATOR_COUNT
The accelerator count to serve the model. Accelerator count should be
non-negative.
--accelerator-type=ACCELERATOR_TYPE
The accelerator type to serve the model. It should be a supported
accelerator type from the verified deployment configurations of the