8 articles that week
Red Hat, Friday, October 17th, 2025
The energy efficiency of data centers and high-performance systems is becoming increasingly important. Energy costs can make up a substantial portion of the operating expenditure (OPEX) budget, potentially serving as a critical factor in the success or failure of a business.
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Red Hat, Friday, October 17th, 2025
The Friday Five is a weekly Red Hat blog post with 5 of the week's top news items and ideas from or about Red Hat and the technology industry. Consider it your we ekly digest of things that caught our eye.
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Red Hat, Thursday, October 16th, 2025
The most common task facing system administrators is patching infrastructure. It's time consuming, it requires coordination with application teams and stakeholders, and it often must happen in segments over time.
more → Red Hat, Thursday, October 16th, 2025
When IT teams adopt automation, the benefits are often felt right away: Faster deployments, fewer manual errors, and more time to innovate.
more → Red Hat, Tuesday, October 14th, 2025
You're tasked with bringing AI into your organization, but the journey from a proof-of-concept to a production-ready application is often a maze of fragmented tools and complex integrations, especially for agentic AI use cases. The real challenge isn't just the technology-it's building an AI strategy that is scalable, reliable, and manageable.
more → Red Hat, Tuesday, October 14th, 2025
The world of gen AI is moving at lightning speed. For enterprises, navigating the flood of new large language models (LLMs), tools (like Model Context Protocol (MCP) servers), and frameworks can feel overwhelming.
more → Red Hat, Tuesday, October 14th, 2025
Your large language model (LLM) proof of concept (PoC) was a success. Now what? The jump from a single server to production-grade, distributed AI inference is where most enterprises hit a wall. The infrastructure that got you this far just can't keep up.
more → Techstrong.IT, Tuesday, October 14th, 2025
Red Hat moved to reduce the complexity of building and deploying artificial intelligence (AI) applications by updating a platform that combines an inference server with an application development and deployment framework based on Kubernetes and a distribution of Linux optimized for these types of applications.
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