feat: add Moore Threads multi-GPU Suite E support

[Keke946]

Summary

• Add and validate multi-chip Suite E support for the Moore Threads vLLM-MUSA runner.
• Submit MTT S4000 scaling results across 1, 2, 4, and 8 GPUs using tensor parallelism.
• Use Meta-Llama-3-8B-Instruct with FP16 on vLLM-MUSA 0.4.2.

Results

GPUs	Best output throughput	Speedup vs. 1 GPU	Scaling efficiency
1	409.71 tok/s	1.00x	100.0%
2	498.36 tok/s	1.22x	60.8%
4	570.06 tok/s	1.39x	34.8%
8	530.78 tok/s	1.30x	16.2%

The 4-GPU configuration gives the highest throughput. At 8 GPUs, communication and synchronization overhead outweigh the additional compute, reducing throughput below the 4-GPU result.

Validation

• Suite E completed at all required chip counts: 1x, 2x, 4x, and 8x.
• Three measured runs completed at client concurrency 8, 32, and 128 for every chip count.
• Accuracy result was produced and marked valid by the benchmark (subset_score: 0.07; this old MUSA stack has a known batching-quality limitation).
• python runners/validate_submission.py --dir results/community/mtt_s4000x8_suite_E_moorethreads_vllm_musa_e0266927_ca7cadca passes.
• Validator warning: power telemetry is unavailable, so tokens/sec/watt is not reported.

Environment

• Hardware: 8 × MTT S4000 48 GB
• Runner: moorethreads_vllm_musa_e0266927
• Framework: vLLM-MUSA 0.4.2
• Run ID: ca7cadca