build: vllm upgrade to 0.9.1

[CandiedCode]

Description

Brief description of what this PR is about

• upgrade vllm to 0.9.0.1.

Type of change

Please delete options that are not relevant.

• Bug fix (non-breaking change which fixes an issue)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• New feature (non-breaking change which adds functionality)
• This change requires a documentation update

Checklist:

• Please add the link of Integration Tests Executor run with related tests.
• Have you manually built the docker image and verify the change?
• Have you run related tests? Check how to set up the test environment here; One example would be pytest tests.py -k "TestCorrectnessLmiDist" -m "lmi_dist"
• Have you added tests that prove your fix is effective or that this feature works?
• Has code been commented, particularly in hard-to-understand areas?
• Have you made corresponding changes to the documentation?

Feature/Issue validation/testing

Please describe the Unit or Integration tests that you ran to verify your changes and relevant result summary. Provide instructions so it can be reproduced.
Please also list any relevant details for your test configuration.

[CandiedCode]

@zachgk we would like to use the latest vLLM image on Sagemaker 🙏🏽. Any help/recommendations to get this updated?

[qthequartermasterman]

I believe this PR is blocked by deepjavalibrary/djl#3723. I am unable to build LMI without 2.7.0 JNI.

[qthequartermasterman]

@zachgk Is there any update on this?

[ethnzhng]

Hi, an updated image djl-inference:0.34.0-lmi16.0.0-cu128 has been released and contains vLLM 0.10.2.

See https://github.com/aws/deep-learning-containers/blob/master/available_images.md#large-model-inference-containers for more details