From 3d7e2d3bbe06ba405be269b5c8794c191f3666f1 Mon Sep 17 00:00:00 2001 From: Andy <550896603@qq.com> Date: Fri, 21 Jun 2024 15:23:49 +0800 Subject: [PATCH] update README --- README-CN.md | 12 ++++++++---- README.md | 12 +++++++++--- assets/6.gif | Bin 0 -> 1304911 bytes 3 files changed, 17 insertions(+), 7 deletions(-) create mode 100644 assets/6.gif diff --git a/README-CN.md b/README-CN.md index 2586a7b..46e4381 100644 --- a/README-CN.md +++ b/README-CN.md @@ -6,14 +6,16 @@ Tensorlink 是一款基于CUDA API-Forwarding实现的分布式计算框架, # 示例 PS: 场景中展示的系统中没有实体显卡,使用tensolink链接处于另一个子网下的4090显卡 - -## 场景一:Stable Diffusion 使用远端显卡加速 +## 场景一:Comfy-UI 使用远端显卡加速 +图中展示了Comfy-UI使用tensorlink进行计算的效果 +![alt text](assets/6.gif) +## 场景二:Stable Diffusion 使用远端显卡加速 图中展示了SD使用tensorlink进行计算的效果 ![alt text](assets/3.gif) -## 场景二:Transformer LLM 使用远端显卡推理 +## 场景三:Transformer LLM 使用远端显卡推理 图中展示了trnasformers框架使用tensorlink进行模型推理的效果 ![alt text](assets/4.gif) -## 场景三:Cinma4D Octane插件 使用远端显卡渲染 +## 场景四:Cinma4D Octane插件 使用远端显卡渲染 ![alt text](assets/5.gif) # 路线图 @@ -21,6 +23,8 @@ PS: 场景中展示的系统中没有实体显卡,使用tensolink链接处于 - CUDA Driver API Hook ✅ - CUDA cuBLAS Hook ✅ - CUDA cuDNN Hook ✅ +- 支持缓存传输数据,提升加载速度 ✅ +- 释放进入空闲状态的显存,支持按需加载module ✅ - 支持客户端多进程 ✅ - 支持ZSTD数据压缩 ✅ - 支持Light(TCP+UDP)与Native(TCP+TCP)两种通信协议 ✅ diff --git a/README.md b/README.md index d067d58..7ae1c08 100644 --- a/README.md +++ b/README.md @@ -8,20 +8,24 @@ Tensorlink is a distributed computing framework based on CUDA API-Forwarding. Wh Note: The system shown in the scenarios does not have a physical GPU. It uses Tensorlink to connect to a 4090 GPU in another subnet. +## Scenario 1: Comfy-UI Accelerated by Remote GPU -## Scenario 1: Stable Diffusion Accelerated by Remote GPU +The image shows the effect of Comfy-UI using Tensorlink for computation. +![alt text](assets/6.gif) + +## Scenario 2: Stable Diffusion Accelerated by Remote GPU The image shows the effect of SD using Tensorlink for computation. ![alt text](assets/3.gif) -## Scenario 2: Transformer LLM Inference Using Remote GPU +## Scenario 3: Transformer LLM Inference Using Remote GPU The image shows the effect of the transformers framework using Tensorlink for model inference. ![alt text](assets/4.gif) -## Scenario 3: Cinema4D Octane Plugin Remote GPU Rendering +## Scenario 4: Cinema4D Octane Plugin Remote GPU Rendering ![alt text](assets/5.gif) # Roadmap @@ -30,6 +34,8 @@ The image shows the effect of the transformers framework using Tensorlink for mo - CUDA Driver API Hook ✅ - CUDA cuBLAS Hook ✅ - CUDA cuDNN Hook ✅ +- Support caching transmitted data to enhance loading speed ✅ +- Release memory that has entered idle state, supporting on-demand module loading. ✅ - Support for Client Multi-Process ✅ - Support for ZSTD Data Compression ✅ - Support for Light (TCP+UDP) and Native (TCP+TCP) Communication Protocols ✅ diff --git a/assets/6.gif b/assets/6.gif new file mode 100644 index 0000000000000000000000000000000000000000..d3f52ea2dd194b7570ff707177e177e17e51355b GIT binary patch literal 1304911 zcmeF2Q+p*`*Q{fsJL;g5j&0j^$F^;**tTsaD@Mn*ZQJ(R&-**}cOT4?d0aK;RilQ4 zlsG4sp+BrAMwKOi9xp&%h){sR#b76uj;4h|055Dpd%4jl>}9v6AgAG@z@eg~q@u!Pp<*SXrXrVPRpVCS_%1WrKxclk#ShwPR;z=U}Ji5N6|~KC5*CP_6OvRE(he8iTM%KD77-B4kca{B?EqCB0CjL163I@En_?F zzeU>G8alL;I!>OtD9E}zR(j%k`V3L}?B4n|rTS$n2AY-zZv2K~tcDJb0%Yv$tevgQoi}b=)R^35Ts*7*o?=m+o}ONQx?b@* zUVWEl}R~A!0}TcnVvZY&vzt`6n}BOgjZLjaIIZP(t(EQ_p=2FRb)D<$-O+vB>8{<) zgFV&DJq^{p53hqISL02=Q)9PN)6+A~r!yn7vqfj~BmIl>tg8#9 zYin!k(b`*^ZQI*h`~Ncb=Y|ea?vKi~k6NBCR@W}xKQ5(fWZZ0cs 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