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  1. Aim remote tracking server allows running experiments in a multi-host environment and collect tracked data in a centralized location. It provides SDK for client-server communications and utilizes http/ws protocols as its core transport layer.

  2. Aim CLI offers a simple interface to easily organize and record your experiments. Paired with the Python Library, Aim is a powerful utility to record, search and compare AI experiments. Here are the set of commands supported: Initialize the aim repository. Displays the version of aim cli currently installed.

  3. From experimenting with Nirmal's script, you can do 1 of 2 things (I'm still trying to figure out how to modify it to also allow testing of pulling credentials when you're using AIM/CCP on the PVWA instead of as a separate server): 1) Remove https and use http instead to test. 2) Go into IIS and configure the website to Accept SSL connections

  4. Host Aim on Kubernetes (K8S) Since Aim can run as a local server through FastAPI, it can be deployed to a K8S cluster! Hosting Aim on K8S comes with several advantages: multiple users of your organization can access Aim in a single spot, which removes the need for ML practitioners to run Aim themselves

  5. Play your favourite AIM servers using the CS2 Server List.

  6. 23 wrz 2020 · The ability to specify host address became available in the newer version of aim(>=2.0.16). Example: aim up -h 127.0.0.1 or aim up --host 127.0.0.1. Run the following command to upgrade to the latest stable aim version: pip3 install aim-cli --upgrade && aim upgrade

  7. The new Aim tracking server facilitates real-time logging of experiments from remote locations. This command launches the server with specified configurations, including host, port, and associated repository.

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