[QUESTION] Creating a Prediction Service on Vertex AI (chapter 19: training_and_deploying_at_scale.ipynb)

I try the following code in the paragraph "Creating a Prediction Service on Vertex AI" in chapter 19. The first cells are running normally. Then comes the code with a bug:

```python
endpoint = aiplatform.Endpoint.create(display_name="michael-mnist-endpoint")

endpoint.deploy(
mnist_model,
min_replica_count=1,
max_replica_count=5,
machine_type="n1-standard-32",
#accelerator_type='NVIDIA_TESLA_K80',
accelerator_type="NVIDIA_TESLA_T4",
accelerator_count=4
)
```

I get the following stacktrace:
```stacktrace
INFO:google.cloud.aiplatform.models:Creating Endpoint
INFO:google.cloud.aiplatform.models:Create Endpoint backing LRO: projects/980799330137/locations/us-central1/endpoints/2848656506683916288/operations/8057826248975450112
INFO:google.cloud.aiplatform.models:Endpoint created. Resource name: projects/980799330137/locations/us-central1/endpoints/2848656506683916288
INFO:google.cloud.aiplatform.models:To use this Endpoint in another session:
INFO:google.cloud.aiplatform.models:endpoint = aiplatform.Endpoint('projects/980799330137/locations/us-central1/endpoints/2848656506683916288')
INFO:google.cloud.aiplatform.models:Deploying Model projects/980799330137/locations/us-central1/models/8350220166423904256 to Endpoint : projects/980799330137/locations/us-central1/endpoints/2848656506683916288
INFO:google.cloud.aiplatform.models:Deploy Endpoint model backing LRO: projects/980799330137/locations/us-central1/endpoints/2848656506683916288/operations/2642810647015849984
---------------------------------------------------------------------------
ResourceExhausted Traceback (most recent call last)
[](https://mubp1prpov-496ff2e9c6d22116-0-colab.googleusercontent.com/outputframe.html?vrz=colab_20240523-060110_RC00_636443439#) in ()
1 endpoint = aiplatform.Endpoint.create(display_name="michael-mnist-endpoint")
2
----> 3 endpoint.deploy(
4 mnist_model,
5 min_replica_count=1,

4 frames
[/usr/local/lib/python3.10/dist-packages/google/api_core/future/polling.py](https://mubp1prpov-496ff2e9c6d22116-0-colab.googleusercontent.com/outputframe.html?vrz=colab_20240523-060110_RC00_636443439#) in result(self, timeout, retry, polling)
259 # pylint: disable=raising-bad-type
260 # Pylint doesn't recognize that this is valid in this case.
--> 261 raise self._exception
262
263 return self._result

ResourceExhausted: 429 The following quotas are exceeded: CustomModelServingCPUsPerProjectPerRegion,CustomModelServingT4GPUsPerProjectPerRegion 8: The following quotas are exceeded: CustomModelServingCPUsPerProjectPerRegion,CustomModelServingT4GPUsPerProjectPerRegion
```

I'm not sure how to configure the google cloud.

**Versions**
- OS: [MacOSX 14.1.2]
- Python: [3.11.8]
- TensorFlow: [2.15.0]
- Scikit-Learn: [1.4.2]