Because the servers in the data center are bound to a small bandwidth, this post is mainly about using Dante to provide SOCKS5 forwarding, using some high-bandwidth servers for traffic forwarding to speed up dependency package downloads. 1. Find a High-Bandwidth Server Install speedtest-cli 1 pip3 install speedtest-cli List peer test servers 1 2 3 4 5 6 7 8 9 10 11 12 13 speedtest-cli --secure --list Retrieving speedtest.

1. Testing the Full Bandwidth Start the iperf3 server on the target host 1 2 3 4 5 iperf3 -s ----------------------------------------------------------- Server listening on 5201 ----------------------------------------------------------- Test from the client host 1 iperf3 -c x.x.x.x -p 5201 -t 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Connecting to host x.

1. What Ray Is In 2016, UC Berkeley’s RISELab released a new distributed computing framework called Ray. In 2017, after the Ray paper was published, it drew broad attention across the industry; in China it was mainly Ant Group that adopted and contributed to Ray. In 2020, Ray released version

1. Introduction to the Qwen Model In April 2023, Alibaba released the beta version of Qwen. In December 2023, Alibaba open-sourced the first version of Qwen. In September 2024, Alibaba released Qwen2.5. In January 2025, Alibaba released Qwen 2.5-Max. Qwen 2.5 is the latest series of the Qwen large language

NVIDIA_VISIBLE_DEVICES Specifies the GPU devices visible to the program 1 CUDA_VISIBLE_DEVICES=0,1 Available values: 1,2, a comma-separated list of GPU UUIDs or indices all, all GPUs none, load the driver but with no GPU access void, do not load the driver NVIDIA_DRIVER_CAPABILITIES Controls which driver libraries/binaries will be installed inside the container