Simplify ep kernels installation

[youkaichao]

Essential Elements of an Effective PR Description Checklist

• The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
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Purpose

To simplify the installation of ep-related kernels. It follows the DeepEP PR deepseek-ai/DeepEP#201 .

Test Plan

Tested locally, since we don't have hopper machines in the ci.

Test Result

Passed

(Optional) Documentation Update

[github-actions]

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[gemini-code-assist]

Summary of Changes

Hello @youkaichao, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request simplifies the installation process for expert parallel (EP) kernels by reducing the number of required steps and removing the need for a separate GDRCopy build. It introduces a dedicated script for configuring necessary NVIDIA driver settings and adjusts the NVSHMEM build process to align with these changes, focusing on IBGDA support.

Highlights

• Installation Steps Simplified: Reduced the required installation steps for EP kernels from 3 to 2, streamlining the process.
• GDRCopy Build Removed: Eliminated the manual build and installation step for GDRCopy from the Python libraries installation script.
• Dedicated Driver Configuration Script: Introduced a new script (configure_system_drivers.sh) specifically for configuring the NVIDIA driver to enable IBGDA.
• NVSHMEM Build Configuration: Updated the NVSHMEM build flags to explicitly disable GDRCopy (NVSHMEM_USE_GDRCOPY=0) and IBRC support, while ensuring IBGDA support is enabled.

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[gemini-code-assist]

Code Review

The pull request simplifies the installation of EP-related kernels. The suggestions provided aim to improve the configuration script and remove a minor redundancy in the library installation script.

[houseroad]

Looks good.