diff --git a/docs/manual/olares/settings/gpu-resource.md b/docs/manual/olares/settings/gpu-resource.md
index 7d6bdbe5d..552a0956a 100644
--- a/docs/manual/olares/settings/gpu-resource.md
+++ b/docs/manual/olares/settings/gpu-resource.md
@@ -11,8 +11,17 @@ Olares allows you to harness the full power of your GPUs to accelerate demanding
 
 This guide helps you understand and configure GPU allocation modes to maximize hardware performance.
 
-::: tip Nvidia GPU only
-Currently, only Nvidia GPU is supported.
+::: tip GPU support
+Olares supports **only Nvidia GPUs** of **Turing architecture or later** (Turing, Ampere, Ada Lovelace, and Blackwell). 
+
+- Quick check: GTX/RTX **16 series and newer** consumer cards are supported.
+- For other models, cross-check with the [compatible GPU table](https://github.com/NVIDIA/open-gpu-kernel-modules?tab=readme-ov-file#compatible-gpus).
+- Other models: Cross-check with the [compatible GPU table](https://github.com/NVIDIA/open-gpu-kernel-modules?tab=readme-ov-file#compatible-gpus).
+- Unknown model: Run `lspci | grep -i nvidia` to query the GPU architecture code and determine compatibility.  
+:::
+
+:::warning AI Performance
+Even if your GPU architecture is supported, **low VRAM capacity may cause AI applications to fail**. Ensure your GPU has enough memory for your workloads.
 :::
 
 ## Understand GPU allocation modes
diff --git a/docs/zh/manual/olares/settings/gpu-resource.md b/docs/zh/manual/olares/settings/gpu-resource.md
index d9b2b7c54..cdc8b8e61 100644
--- a/docs/zh/manual/olares/settings/gpu-resource.md
+++ b/docs/zh/manual/olares/settings/gpu-resource.md
@@ -13,8 +13,15 @@ Olares 为你提供了强大、灵活的显卡管理功能，让你充分释放
 
 本文档帮你了解并配置显卡分配模式，发挥硬件最大效能。
 
-::: tip 注意
-当前仅支持英伟达显卡。
+:::tip 支持的显卡
+Olares 仅支持 **NVIDIA 显卡**，且要求架构为 **Turing 或更新**（Turing、Ampere、Ada Lovelace、Blackwell）。
+- 快速判断：消费级显卡支持 GTX/RTX **16 系列及以上**。
+- 其他型号：对照 [兼容显卡表](https://github.com/NVIDIA/open-gpu-kernel-modules?tab=readme-ov-file#compatible-gpus)。
+- 型号未知：可运行 `lspci | grep -i nvidia` 查询显卡架构代码。 
+:::
+
+:::warning 性能提醒
+即使显卡架构受支持，**显存过小也可能导致部分 AI 应用无法运行**。请确认显卡拥有足够的显存以满足需求。
 :::
 
 ## 显卡分配模式