Add bfloat16 tuned fused moe config for Dpsk-MTP layer on B200

[Fridge003]

Motivation

When launching dpsk-r1-fp4 with MTP and TP4, the draft model will use bfloat16 fused moe triton kernels.
So it requires some tuning.

Modifications

Accuracy Tests

Benchmarking and Profiling

# Launch
export SGLANG_ENABLE_SPEC_V2=1
python3 -m sglang.launch_server \
    --model-path nvidia/DeepSeek-R1-0528-FP4-v2 \
    --trust-remote-code \
    --attention-backend trtllm_mla \
    --moe-runner-backend flashinfer_trtllm \
    --quantization modelopt_fp4 \
    --tp 4 \
    --speculative-algorithm EAGLE \
    --kv-cache-dtype fp8_e4m3

# Profile
python3 -m sglang.bench_one_batch_server --model nvidia/DeepSeek-R1-0528-FP4-v2 --base-url http://localhost:30000 --batch-size 16 --input-len 1024 --output-len 20 --skip-warmup --profile --profile-steps 10

Main:

This PR:

Checklist

• Format your code according to the Format code with pre-commit.
• Add unit tests according to the Run and add unit tests.
• Update documentation according to Write documentations.
• Provide accuracy and speed benchmark results according to Test the accuracy and Benchmark the speed.
• Work with maintainers to merge your PR. See the PR Merge Process