3 projects for "docker" with 2 filters applied:

  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

    NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

    Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
    Try Free
  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
    Try Free
  • 1
    ZaneOps

    ZaneOps

    A self-hosted PaaS for deploying and managing web apps

    ...It is designed as an alternative to platforms like Heroku, Railway, Render, Vercel, and Netlify while keeping ownership of infrastructure in the user’s hands. The platform uses Docker Swarm for scalable container orchestration and Caddy for flexible routing and web serving. It gives developers a polished dashboard for managing projects, deployments, logs, URLs, environment variables, resource limits, and service configuration. ZaneOps supports Docker image deployments and deployment webhooks, making it useful for automated release workflows. ...
    Downloads: 0 This Week
    Last Update:
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  • 2
    k8s_PaaS

    k8s_PaaS

    How to deploy to PaaS/DevOps

    ...It explains not only what to do, but also why each step matters and how to complete it in a working environment. The guide is aimed at helping beginners move from Docker basics to a full Kubernetes-based delivery platform. By the end, users are expected to understand automated deployment, CI/CD, monitoring, configuration management, service delivery, and platform maintenance.
    Downloads: 0 This Week
    Last Update:
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  • 3
    1Backend

    1Backend

    Build AI (or any) apps with scalable microservices & microfrontends

    1Backend is an AI-native full-stack platform for building distributed applications with microservices and microfrontends. It works as a framework, proxy, and runtime that reduces early infrastructure overhead for developers. The platform includes built-in capabilities for authentication, user accounts, service routing, microfrontend routing, email, and API access. It can run and program LLMs inside containers, making it suitable for AI applications as well as general software products....
    Downloads: 0 This Week
    Last Update:
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