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Server for AI Models

Translated113 USD

  1. 501    5  1   2
    3 days113 USD

    Good Morning,

    You described the task that involves creating a server to launch AI models through the API with the following basic requirements:

    1 .Settings for requests to each of the models: This is important for sharing and managing requests to different models.You can use line technology, such as RabbitMQ or Apache Kafka, to implement this functionality.The 2ndWorking stability: Server stability ensures error management, preserving the status of requests and possible reboot of models in the event of an accident.You can use containers such as Docker to isolate the model environment and Kubernetes or Docker Compose to orchestrate containers.3 .Server Events Logging: Log collection and analysis will help you track the server status and detect errors.You can use logging tools such as ELK Stack (Elasticsearch, Logstash, Kibana) or simply logging in the file.To accomplish this task, we can use programming languages such as Python or Node.js, and frameworks to create APIs such as Express.js.
    Write to me to discuss the next steps.Congratulations to Michael!

  2. 682    6  0
    3 days135 USD

    I would implement on a different steak of technologies than those noted in the examples.
    Flask - Basic Server
    flask_restx - an extension to build a full app
    Redis - Message Broker
    Celery - for the processing of background tasks including the launch of AI tasks.
    Questions remain open:
    How do you want to see the logging?
    - User authentication

  3. 1 proposal concealed
  • Artem Nemirov
    18 September 2023, 11:22 |

    сервер уже есть?


  • Kirill Shadrintsev
    18 September 2023, 11:48 |

    есть

  • Artem Nemirov
    18 September 2023, 12:01 |

    это хорошо. тогда посмотрю на эти статьи и помогу

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Client
Kirill Shadrintsev
Ukraine Kyiv  10  0
Project published
2 years back
93 views