[QWEN NEXT] Fused MoE kernels Optimization configs

[samanamp]

Purpose

This includes optimized configs for GB200 on tp=1,2,4

Test Plan

python benchmarks/kernels/benchmark_moe_old.py --model $MODEL --dtype "fp8_w8a8" --tp 4

Test Result

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• The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
• The test plan, such as providing test command.
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[gemini-code-assist]

Code Review

This pull request introduces optimized configurations for Fused MoE kernels on the NVIDIA GB200 architecture. The changes consist of adding three new JSON configuration files for different tensor parallelism sizes (tp=1, 2, and 4) for a model with 512 experts and fp8_w8a8 data type. The configurations appear to be the result of performance tuning, are well-structured, and follow the existing conventions. The changes are straightforward and I don't see any issues. The PR looks good to merge.