Marc Sherwood
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A Quick Guide to Containerizing Llamafile with Docker for AI Applications
This post was contributed by Sophia Parafina. Keeping pace with the rapid advancements in artificial intelligence can be overwhelming. Every week, new Large Language Models (LLMs), vector databases, and innovative techniques emerge, potentially transforming the landscape of AI/ML development. Our extensive collaboration with developers has uncovered numerous creative and effective strategies to harness Docker in AI…
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Why Are There More Than 100 Million Pull Requests for AI/ML Images on Docker Hub?
A quick look at pull requests of well-known AI/ML-related images on Docker Hub shows more than 100 million pull requests. What is driving this level of demand in the AI/ML space? The same things that drive developers to use Docker for any project: accelerating development, streamlining collaboration, and ensuring consistency within projects. In this article,…
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Full-Stack Reproducibility for AI/ML with Docker and Kaskada
Docker is used by millions of developers to optimize the setup and deployment of development environments and application stacks. As artificial intelligence (AI) and machine learning (ML) are becoming key components of many applications, the core benefits of Docker are now doing more heavy lifting and accelerating the development cycle. Gartner predicts that “by 2027,…
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Docker Init: Initialize Dockerfiles and Compose files with a single CLI command
Docker has revolutionized the way developers build, package, and deploy their applications. Docker containers provide a lightweight, portable, and consistent runtime environment that can run on any infrastructure. And now, the Docker team has developed docker init, a new command-line interface (CLI) command introduced as a beta feature that simplifies the process of adding Docker…
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