Deploifai | Simplify Your Deployment Process

Supercharge your deployment with Deploifai. Automate software releases to save time, reduce errors, and boost…

deploifai-by-Futureen
  • Upvote: 0
  • Failed Startup

⚙️  Tech Specs

❑ Website Registered On:

  13th January, 2021

❑ Is this Mobile Friendly?

  Yes!

❑ Tech Stack:

Node.js, React, Stripe, Next.js, webpack, Google Tag Manager, Google Analytics, Google Workspace, Cloudflare

📡  Connect

❑ Tool Name:

  Deploifai

Connect with QR

deploifai-QR-Code-AI-Tool

Contact Info:

contact@deploif.ai

❑ Safe to Send? :

 Risky

❑ Verification Status:

  Valid

〒 Know More

❑ Use it For:

  Failed Startup

❑ Pricing Options:

  Freemium

❑ Suitable Tags:

  Open Source, Self Hosted, Web Browser

Deploifai was a software platform designed to manage machine learning infrastructure and deployment. It aimed to simplify the process of training and deploying AI models to production. The platform automated cloud infrastructure to support datasets, training tasks, and deployments, providing a SaaS-like experience on users’ own cloud services.

Major Highlights

  • Automated cloud infrastructure management
  • Support for datasets, training, and fine-tuning tasks
  • Easy deployment of models to production
  • SaaS-like experience on personal cloud services
  • VSCode extension for integrated development
  • Homebrew and Scoop package management support
  • GitHub integration for version control
  • JupyterLab compatibility for interactive computing

Use Cases

  • Streamlining ML model development and deployment
  • Managing cloud resources for AI projects
  • Simplifying the transition from model training to production
  • Collaborative work on machine learning projects
  • Integrating ML workflows with existing development tools

Unfortunately, Deploifai shut down on March 7, 2024. The company’s website now displays a closure notice and directs inquiries to their support email. This sudden closure highlights the volatile nature of the AI tools market. It serves as a reminder for businesses to have contingency plans when relying on third-party services for critical infrastructure. The shutdown of Deploifai may prompt users to explore alternative platforms or consider developing in-house solutions for managing their machine learning workflows.

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