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  1. docs/en/docs/deployment/manually.md

    When referring to the remote machine, it's common to call it **server**, but also **machine**, **VM** (virtual machine), **node**. Those all refer to some type of remote machine, normally running Linux, where you run programs.
    
    ## Install the Server Program
    
    When you install FastAPI, it comes with a production server, Uvicorn, and you can start it with the `fastapi run` command.
    
    But you can also install an ASGI server manually:
    
    === "Uvicorn"
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  2. README.md

    MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.
    
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  3. docs/en/docs/deployment/concepts.md

    ### Server Memory
    
    For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**.
    
    And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨
    
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  4. cmd/net.go

    		}
    	}
    
    	return host, port, nil
    }
    
    // isLocalHost - checks if the given parameter
    // correspond to one of the local IP of the
    // current machine
    func isLocalHost(host string, port string, localPort string) (bool, error) {
    	hostIPs, err := getHostIP(host)
    	if err != nil {
    		return false, err
    	}
    
    	nonInterIPV4s := mustGetLocalIP4().Intersection(hostIPs)
    Go
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  5. .github/ISSUE_TEMPLATE/feature_request.md

    [ ] Extensions and Telemetry
    [ ] Security
    [ ] Test and Release
    [ ] User Experience
    [ ] Developer Infrastructure
    
    **Affected features (please put an X in all that apply)**
    
    [ ] Multi Cluster
    [ ] Virtual Machine
    [ ] Multi Control Plane
    
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  6. docs/en/data/external_links.yml

    Articles:
      English:
      - author: Kurtis Pykes - NVIDIA
        link: https://developer.nvidia.com/blog/building-a-machine-learning-microservice-with-fastapi/
        title: Building a Machine Learning Microservice with FastAPI
      - author: Ravgeet Dhillon - Twilio
        link: https://www.twilio.com/en-us/blog/booking-appointments-twilio-notion-fastapi
        title: Booking Appointments with Twilio, Notion, and FastAPI
      - author: Abhinav Tripathi - Microsoft Blogs
    Others
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  7. docs/en/docs/advanced/events.md

    ## Use Case
    
    Let's start with an example **use case** and then see how to solve it with this.
    
    Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖
    
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  8. docs/pt/docs/advanced/events.md

    ## Caso de uso
    
    Vamos iniciar com um exemplo de **caso de uso** e então ver como resolvê-lo com isso.
    
    Vamos imaginar que você tem alguns **modelos de _machine learning_** que deseja usar para lidar com as requisições. 🤖
    
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  9. docs/pt/docs/async.md

    * **Machine Learning**: Normalmente exige muita multiplicação de matrizes e vetores. Pense numa grande folha de papel com números e multiplicando todos eles juntos e ao mesmo tempo.
    
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  10. common-protos/k8s.io/api/events/v1beta1/generated.proto

      // This field cannot be empty for new Events and it can have at most 128 characters.
      // +optional
      optional string reportingInstance = 5;
    
      // action is what action was taken/failed regarding to the regarding object. It is machine-readable.
      // This field can have at most 128 characters.
      // +optional
      optional string action = 6;
    
      // reason is why the action was taken. It is human-readable.
      // This field can have at most 128 characters.
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