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zengqingfu1442 / docker-registry-mirrors.md
Created October 31, 2023 12:34 — forked from y0ngb1n/docker-registry-mirrors.md
国内的 Docker Hub 镜像加速器，由国内教育机构与各大云服务商提供的镜像加速服务 | Dockerized 实践 https://github.com/y0ngb1n/dockerized

Docker Hub 镜像加速器

国内从 Docker Hub 拉取镜像有时会遇到困难，此时可以配置镜像加速器。Docker 官方和国内很多云服务商都提供了国内加速器服务。

Dockerized 实践 https://github.com/y0ngb1n/dockerized

配置加速地址

Ubuntu 16.04+、Debian 8+、CentOS 7+

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zengqingfu1442 / grpc_shm_client.py
Created December 15, 2023 08:05 — forked from Shiina18/grpc_shm_client.py
Triton gRPC shared memory client adapted from https://github.com/triton-inference-server/client/blob/main/src/python/examples/simple_grpc_shm_client.py
import collections
import uuid
from typing import Dict
import numpy as np
import tritonclient
import tritonclient.grpc as grpcclient
import tritonclient.utils.shared_memory as shm
ShmHandle = collections.namedtuple(
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zengqingfu1442 / Harvester-SNAT-problem.md
Created April 28, 2024 15:24 — forked from yaocw2020/Harvester-SNAT-problem.md
harvester design

Harvester SNAT Problem

Problem Description

Harvester leverages the Kubernetes service to provide the load balancer for the service in the Harvester virtual machines. The backend servers of the load balancer are the <VM IP>:<service port>.

cw-harv:/home/rancher # kubectl get svc
NAME                        TYPE           CLUSTER-IP      EXTERNAL-IP    PORT(S)        AGE
default-nginx-lb-db9bdca5 LoadBalancer 10.43.113.238 80:32586/TCP 4h32m
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zengqingfu1442 / harvester-gpu.md
Created May 1, 2024 15:49 — forked from kralicky/harvester-gpu.md
Harvester GPU Provisioning

Harvester GPU Provisioning

  1. Install Harvester, then SSH into the server.

  2. Edit /boot/grub/grub.cfg as follows:

 set default=0
 set timeout=10
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zengqingfu1442 / mlx_distributed_deepseek.md
Created April 10, 2025 10:28 — forked from awni/mlx_distributed_deepseek.md
Run DeepSeek R1 or V3 with MLX Distributed

Setup

On every machine in the cluster install openmpi and mlx-lm:

conda install conda-forge::openmpi
pip install -U mlx-lm

Next download the pipeline parallel run script. Download it to the same path on every machine:

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zengqingfu1442 / mac os下vscode快捷键
Created August 14, 2025 10:11 — forked from wxingheng/mac os下vscode快捷键
mac os下vscode快捷键
[mac os下vscode快捷键](https://www.cnblogs.com/informatics/p/8315339.html)
全局
Command + Shift + P / F1 显示命令面板
Command + P 快速打开
Command + Shift + N 打开新窗口
Command + W 关闭窗口
基本
Command + X 剪切（未选中文本的情况下，剪切光标所在行）
Command + C 复制（未选中文本的情况下，复制光标所在行）