From 09cd6c5d3eab2faf643a908f88bc1c99fe6e4de2 Mon Sep 17 00:00:00 2001 From: Jiang-Jia-Jun Date: Wed, 12 Nov 2025 11:03:23 +0800 Subject: [PATCH] Modify README --- README_CN.md | 4 +--- README_EN.md | 4 +--- 2 files changed, 2 insertions(+), 6 deletions(-) diff --git a/README_CN.md b/README_CN.md index 213440c0b..d2df9ccb6 100644 --- a/README_CN.md +++ b/README_CN.md @@ -42,7 +42,7 @@ - 🤝 **OpenAI API服务与vLLM兼容**：单命令部署，兼容[vLLM](https://github.com/vllm-project/vllm/)接口 - 🧮 **全量化格式支持**：W8A16、W8A8、W4A16、W4A8、W2A16、FP8等 - ⏩ **高级加速技术**：推测解码、多令牌预测（MTP）及分块预填充 -- 🖥️ **多硬件支持**：NVIDIA GPU、昆仑芯XPU、海光DCU、昇腾NPU、天数智芯GPU、燧原GCU、沐曦GPU、英特尔Gaudi等 +- 🖥️ **多硬件支持**：NVIDIA GPU、昆仑芯XPU、海光DCU、天数智芯GPU、燧原GCU、沐曦GPU、英特尔Gaudi等 ## 要求 @@ -61,8 +61,6 @@ FastDeploy 支持在**英伟达（NVIDIA）GPU**、**昆仑芯（Kunlunxin）XPU - [沐曦 GPU](./docs/zh/get_started/installation/metax_gpu.md) - [英特尔 Gaudi](./docs/zh/get_started/installation/intel_gaudi.md) -**注意:** 我们正在积极拓展硬件支持范围。目前，包括昇腾（Ascend）NPU 等其他硬件平台正在开发测试中。敬请关注更新！ - ## 入门指南 通过我们的文档了解如何使用 FastDeploy： diff --git a/README_EN.md b/README_EN.md index d89502481..ddb1a1dd6 100644 --- a/README_EN.md +++ b/README_EN.md @@ -40,7 +40,7 @@ English | [简体中文](README_CN.md) - 🤝 **OpenAI API Server and vLLM Compatible**: One-command deployment with [vLLM](https://github.com/vllm-project/vllm/) interface compatibility. - 🧮 **Comprehensive Quantization Format Support**: W8A16, W8A8, W4A16, W4A8, W2A16, FP8, and more. - ⏩ **Advanced Acceleration Techniques**: Speculative decoding, Multi-Token Prediction (MTP) and Chunked Prefill. -- 🖥️ **Multi-Hardware Support**: NVIDIA GPU, Kunlunxin XPU, Hygon DCU, Ascend NPU, Iluvatar GPU, Enflame GCU, MetaX GPU, Intel Gaudi etc. +- 🖥️ **Multi-Hardware Support**: NVIDIA GPU, Kunlunxin XPU, Hygon DCU, Iluvatar GPU, Enflame GCU, MetaX GPU, Intel Gaudi etc. ## Requirements @@ -59,8 +59,6 @@ FastDeploy supports inference deployment on **NVIDIA GPUs**, **Kunlunxin XPUs**, - [MetaX GPU](./docs/get_started/installation/metax_gpu.md) - [Intel Gaudi](./docs/get_started/installation/intel_gaudi.md) -**Note:** We are actively working on expanding hardware support. Additional hardware platforms including Ascend NPU are currently under development and testing. Stay tuned for updates! - ## Get Started Learn how to use FastDeploy through our documentation: