feat: new router and benchmark setup

configs/glm5-nvfp4-fp8compute-8xb200.yaml

@@ -0,0 +1,32 @@
+# GLM-5-NVFP4 on 8 x B200 with FP8 tensor-core compute.
+# Weights remain stored in NVFP4, so HBM budget follows FP4 storage.
+
+model:
+  config_json: ../models/GLM-5-NVFP4/config.json
+  name: glm-5-nvfp4
+  compute_dtype: fp8
+  weight_dtype: fp4
+  dtype_bytes: 1
+  block_size_tokens: 512
+
+hardware:
+  type: 8xb200
+  hbm_bytes: 1150.0e9
+  dram_bytes: 1.5e12
+  max_batch_slots: 256
+
+cluster:
+  num_instances: 8
+  meta_store:
+    ttl_seconds: 300.0
+  router:
+    mode: prefix_affinity
+    prefix_k: 8
+    load_alpha: 1.0
+
+sim:
+  trace_path: bailian-traces/glm_coder_blksz_512_040915-040917.jsonl
+  max_requests: null
+  output_dir: runs/glm5_nvfp4_fp8compute_8xb200
+  sample_interval_s: 1.0
+  seed: 42