[Doc][Recipe] Fix for redhat fp8 xeon support issue (#62245)

recipes/models/Qwen/Qwen2.5-VL-7B-Instruct.yaml

@@ -60,6 +60,7 @@ variants:
     precision: fp8
     vram_minimum_gb: 9
     description: "RedHatAI FP8 (E4M3) with dynamic per-token activation quantization"
+    supported_hardware: [trillium]
     extra_args:
       - "--kv-cache-dtype"
       - "fp8"

recipes/models/Qwen/Qwen3-4B.yaml

@@ -66,6 +66,7 @@ variants:
     label: "FP8 Dynamic (RedHat)"
     vram_minimum_gb: 5
     description: "RedHatAI FP8 (E4M3) with dynamic per-token activation quantization"
+    supported_hardware: [trillium]
     extra_args:
       - "--kv-cache-dtype"
       - "fp8"

recipes/models/meta-llama/Llama-3.1-8B-Instruct.yaml

@@ -88,6 +88,7 @@ variants:
     label: "FP8 Dynamic (RedHat)"
     vram_minimum_gb: 10
     description: "RedHatAI FP8 (E4M3) with dynamic per-token activation quantization"
+    supported_hardware: [h100, h200]
     extra_args:
       - "--kv-cache-dtype"
       - "fp8"
@@ -98,6 +99,7 @@ variants:
     label: "FP8 (RedHat)"
     vram_minimum_gb: 10
     description: "RedHatAI FP8 quantization"
+    supported_hardware: [h100, h200]
     extra_args:
       - "--kv-cache-dtype"
       - "fp8"
@@ -108,6 +110,7 @@ variants:
     label: "FP8 Block (RedHat)"
     vram_minimum_gb: 10
     description: "RedHatAI FP8 block quantization"
+    supported_hardware: [h100, h200, xeon6]
     extra_args:
       - "--kv-cache-dtype"
       - "fp8"

recipes/models/meta-llama/Llama-3.3-70B-Instruct.yaml

@@ -75,6 +75,7 @@ variants:
     label: "FP8 (RedHat)"
     vram_minimum_gb: 84
     description: "RedHatAI FP8 (E4M3) with dynamic per-token activation quantization"
+    supported_hardware: [h100, h200, b200, gb200]
     extra_args:
       - "--kv-cache-dtype"
       - "fp8"
@@ -95,6 +96,7 @@ variants:
     label: "FP8 Block (RedHat)"
     vram_minimum_gb: 84
     description: "RedHatAI FP8 block quantization"
+    supported_hardware: [h100, h200, b200, gb200, xeon6]
     extra_args:
       - "--kv-cache-dtype"
       - "fp8"
@@ -105,6 +107,7 @@ variants:
     label: "NVFP4 (RedHat)"
     vram_minimum_gb: 46
     description: "RedHatAI NVFP4 quantization"
+    supported_hardware: [b200, gb200]
 
 compatible_strategies:
   - single_node_tp

recipes/models/meta-llama/Llama-4-Scout-17B-16E-Instruct.yaml

@@ -67,6 +67,7 @@ variants:
     label: "FP8 (RedHat)"
     vram_minimum_gb: 131
     description: "RedHatAI FP8 (E4M3) with dynamic per-token activation quantization"
+    supported_hardware: [h100, b200, gb200]
     extra_args:
       - "--kv-cache-dtype"
       - "fp8"
@@ -77,6 +78,7 @@ variants:
     label: "NVFP4 (RedHat)"
     vram_minimum_gb: 65
     description: "RedHatAI compressed-tensors NVFP4 quantization for Blackwell GPUs"
+    supported_hardware: [b200, gb200]
     extra_args:
       - "--kv-cache-dtype"
       - "fp8"
@@ -89,6 +91,7 @@ variants:
     label: "FP8 Block (RedHat)"
     vram_minimum_gb: 131
     description: "RedHatAI FP8 block quantization"
+    supported_hardware: [h100, b200, gb200]
     extra_args:
       - "--kv-cache-dtype"
       - "fp8"