Tag: community contributions

  • Docker: Unlocking Local AI on Any GPU: Docker Model Runner Now with Vulkan Support

    Source URL: https://www.docker.com/blog/docker-model-runner-vulkan-gpu-support/ Source: Docker Title: Unlocking Local AI on Any GPU: Docker Model Runner Now with Vulkan Support Feedly Summary: Running large language models (LLMs) on your local machine is one of the most exciting frontiers in AI development. At Docker, our goal is to make this process as simple and accessible as possible.…

  • Cloud Blog: AI Innovators: How JAX on TPU is helping Escalante advance AI-driven protein design

    Source URL: https://cloud.google.com/blog/topics/customers/escalante-uses-jax-on-tpus-for-ai-driven-protein-design/ Source: Cloud Blog Title: AI Innovators: How JAX on TPU is helping Escalante advance AI-driven protein design Feedly Summary: As a Python library for accelerator-oriented array computation and program transformation, JAX is widely recognized for its power in training large-scale AI models. But its core design as a system for composable function…

  • Anchore: Strengthening Software Security: The Anchore and Chainguard Partnership

    Source URL: https://anchore.com/blog/chainguard-partnership/ Source: Anchore Title: Strengthening Software Security: The Anchore and Chainguard Partnership Feedly Summary: In 2018, Anchore partnered with the US Air Force on Platform One, a project focused on integrating DevSecOps principles into government software development. A core part of that project was the launch of the Iron Bank, a repository of…

  • Docker: Build and Distribute AI Agents and Workflows with cagent

    Source URL: https://www.docker.com/blog/cagent-build-and-distribute-ai-agents-and-workflows/ Source: Docker Title: Build and Distribute AI Agents and Workflows with cagent Feedly Summary: cagent is a new open-source project from Docker that makes it simple to build, run, and share AI agents, without writing a single line of code. Instead of writing code and wrangling Python versions and dependencies when creating…

  • AWS News Blog: Meet our newest AWS Heroes — August 2025

    Source URL: https://aws.amazon.com/blogs/aws/meet-our-newest-aws-heroes-august-2025/ Source: AWS News Blog Title: Meet our newest AWS Heroes — August 2025 Feedly Summary: We are excited to announce the latest cohort of AWS Heroes, recognized for their exceptional contributions and technical leadership. These passionate individuals represent diverse regions and technical specialties, demonstrating notable expertise and dedication to knowledge sharing within…

  • Docker: Docker MCP Catalog: Finding the Right AI Tools for Your Project

    Source URL: https://www.docker.com/blog/finding-the-right-ai-developer-tools-mcp-catalog/ Source: Docker Title: Docker MCP Catalog: Finding the Right AI Tools for Your Project Feedly Summary: As large language models (LLMs) evolve from static text generators to dynamic agents capable of executing actions, there’s a growing need for a standardized way to let them interact with external tooling securely. That’s where Model…

  • AWS Open Source Blog: Introducing Strands Agents 1.0: Production-Ready Multi-Agent Orchestration Made Simple

    Source URL: https://aws.amazon.com/blogs/opensource/introducing-strands-agents-1-0-production-ready-multi-agent-orchestration-made-simple/ Source: AWS Open Source Blog Title: Introducing Strands Agents 1.0: Production-Ready Multi-Agent Orchestration Made Simple Feedly Summary: Today we are excited to announce version 1.0 of the Strands Agents SDK, marking a significant milestone in our journey to make building AI agents simple, reliable, and production-ready. Strands Agents is an open source…

  • AWS Open Source Blog: Open Protocols for Agent Interoperability Part 2: Authentication on MCP

    Source URL: https://aws.amazon.com/blogs/opensource/open-protocols-for-agent-interoperability-part-2-authentication-on-mcp/ Source: AWS Open Source Blog Title: Open Protocols for Agent Interoperability Part 2: Authentication on MCP Feedly Summary: In Part 1 of our blog series on Open Protocols for Agent Interoperability we covered how the Model Context Protocol (MCP) can be used to facilitate inter-agent communication and the MCP specification enhancements AWS…

  • CSA: Open vs. Closed-Source AI Guide

    Source URL: https://koat.ai/open-source-models-vs-closed-source-models-a-simple-guide/ Source: CSA Title: Open vs. Closed-Source AI Guide Feedly Summary: AI Summary and Description: Yes Summary: The text provides a comprehensive analysis of the differences between open-source and closed-source AI models, highlighting their implications for data privacy, customization, costs, support, and security needs. This is particularly relevant for security and compliance professionals…