Add latest rocm/vllm Docker details in vLLM inference benchmark guide (#4824)

* update rocm/vllm Docker details to latest release

* Add previous vLLM version

* fix 'further reading' xrefs

* improve model grouping names

* fix links

* update model picker text

docs/data/how-to/rocm-for-ai/inference/vllm-benchmark-models.yaml

@@ -1,14 +1,14 @@
 vllm_benchmark:
   unified_docker:
     latest:
-      pull_tag: rocm/vllm:rocm6.3.1_instinct_vllm0.8.3_20250415
-      docker_hub_url: https://hub.docker.com/layers/rocm/vllm/rocm6.3.1_instinct_vllm0.8.3_20250415/images/sha256-ad9062dea3483d59dedb17c67f7c49f30eebd6eb37c3fac0a171fb19696cc845
+      pull_tag: rocm/vllm:rocm6.3.1_vllm0.8.3_20250415
+      docker_hub_url: https://hub.docker.com/layers/rocm/vllm/rocm6.3.1_vllm_0.8.5_20250513/images/sha256-5c8b4436dd0464119d9df2b44c745fadf81512f18ffb2f4b5dc235c71ebe26b4
       rocm_version: 6.3.1
-      vllm_version: 0.8.3
-      pytorch_version: 2.7.0 (dev nightly)
-      hipblaslt_version: 0.13
+      vllm_version: 0.8.5
+      pytorch_version: 2.7.0+gitf717b2a
+      hipblaslt_version: 0.15
   model_groups:
-    - group: Llama
+    - group: Meta Llama
       tag: llama
       models:
       - model: Llama 3.1 8B
@@ -56,7 +56,7 @@ vllm_benchmark:
         model_repo: amd/Llama-3.1-405B-Instruct-FP8-KV
         url: https://huggingface.co/amd/Llama-3.1-405B-Instruct-FP8-KV
         precision: float8
-    - group: Mistral
+    - group: Mistral AI
       tag: mistral
       models:
       - model: Mixtral MoE 8x7B
@@ -108,7 +108,7 @@ vllm_benchmark:
         url: https://huggingface.co/Qwen/QwQ-32B
         precision: float16
         tunableop: true
-    - group: DBRX
+    - group: Databricks DBRX
       tag: dbrx
       models:
       - model: DBRX Instruct
@@ -121,7 +121,7 @@ vllm_benchmark:
         model_repo: amd/dbrx-instruct-FP8-KV
         url: https://huggingface.co/amd/dbrx-instruct-FP8-KV
         precision: float8
-    - group: Gemma
+    - group: Google Gemma
       tag: gemma
       models:
       - model: Gemma 2 27B

docs/data/how-to/rocm-for-ai/training/megatron-lm-benchmark-models.yaml

@@ -1,6 +1,6 @@
 megatron-lm_benchmark:
   model_groups:
-    - group: Llama
+    - group: Meta Llama
       tag: llama
       models:
       - model: Llama 3.3 70B
@@ -20,7 +20,7 @@ megatron-lm_benchmark:
         mad_tag: pyt_megatron_lm_train_deepseek-v3-proxy
       - model: DeepSeek-V2-Lite
         mad_tag: pyt_megatron_lm_train_deepseek-v2-lite-16b
-    - group: Mistral
+    - group: Mistral AI
       tag: mistral
       models:
       - model: Mixtral 8x7B