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canonical

The bare metal problem in AI Factories

Mar 11, 2026 By David Beamonte In Canonical
As AI platforms grow in scale, many of the limiting factors are no longer related to model design or algorithmic performance, but to the operation of the underlying infrastructure. GPU accelerators are key components and are responsible for a large part of the total system cost, which makes their continuous availability and stable operation critical to the output and efficiency of the entire AI platform.
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onpage

What is Ambient AI in Healthcare? Revolutionizing Clinical Care, Efficiency, and Outcomes

Mar 11, 2026 By Michelle Chua In OnPage
You probably use ambient AI every day without even knowing it. When your Apple Watch is telling you to stand up after sitting too long, your CGM recommends you eat a snack, or even when your smart home lights dim around the time you go to bed, every night…that’s ambient AI. Among other things, ambient AI is there to help you stay healthy, tracking what you do in the background and making decisions based on your previous actions and preferences.
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circleci

MCP vs. CLI for AI-native development

Mar 11, 2026 By Jacob Schmitt In CircleCI
Summary: The CLI vs. MCP question is really a question about where you are in the development loop. CLIs fit the inner loop: fast, local, zero overhead. MCP servers fit the outer loop: external systems, shared infrastructure, structured access. Most teams need both. AI has put a new kind of scrutiny on developer tooling. When a developer works alongside an AI coding assistant, the tools that assistant can reach, and how it reaches them, directly affect the quality and speed of the work.
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statuscake

Buy vs Build in the Age of AI (Part 2)

Mar 11, 2026 By James Barnes In StatusCake
In Part 1, we explored how AI has dramatically reduced the cost of building monitoring tooling. That much is clear. You can scaffold uptime checks quickly, generate alert logic in minutes, and set-up dashboards faster than most teams used to schedule the kickoff meeting. So the barriers to entry have fallen. But there’s a quieter question that rarely gets asked in the excitement of building. Have you ever calculated what it would actually cost to replace your monitoring provider?
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splunk

Unleashing Resilience: Why the Agentic Era Demands a Unified Data Fabric

Mar 11, 2026 By JK Lialias In Splunk
Imagine starting your day with a dozen disconnected apps where your calendar does not sync with your reminders, your maps do not know your appointments, and your contacts are not linked to your messages. You would constantly be scrambling, missing key details, and reacting late to what matters most. In our personal lives, we depend on tight integration to keep pace with the world. In business, the stakes are even higher.
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The Evolution of Vocal Removal Technology in Music Production

The Evolution of Vocal Removal Technology in Music Production

Mar 11, 2026 By OpsMatters In OpsMatters
Music production has always been shaped by technological innovation. From the early days of analog recording to the modern era of digital audio workstations, every advancement has changed the way artists create, edit, and experience music. One particularly fascinating development in this journey is the evolution of AI Music Generator vocal removal technology. Once a complicated and imperfect process, removing vocals from a track has gradually transformed into a highly accurate and accessible capability used by producers, DJs, musicians, and even casual music enthusiasts.
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The Rise of AI App Builders in Agile Development Environments

The Rise of AI App Builders in Agile Development Environments

Mar 11, 2026 By OpsMatters In OpsMatters
Modern software development moves quickly. Businesses need to test ideas, release updates, and respond to customer feedback faster than ever before. Agile development methods were created to support this need for speed and flexibility. In recent years, a new type of tool has begun to support these processes even more. An AI app builder helps teams create applications with less manual coding by using artificial intelligence to assist with design, development, and testing tasks.
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civo

How Techdome accelerates AI-led product delivery with Civo Kubernetes

Mar 10, 2026 By Emma Stewart-Oram In Civo
Accessing cloud infrastructure shouldn’t slow down product innovation. Yet for many engineering teams building AI-driven platforms, traditional hyperscalers often introduce unnecessary complexity, high costs, and slow provisioning cycles. At Civo, we’ve seen a different approach emerge. Our cloud platform enables teams to move faster with Kubernetes, compute, and networking designed for simplicity and speed.
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upsun

The data context gap: an evaluation guide for agent-ready infrastructure

Mar 10, 2026 By Upsun In Upsun
Why do AI agents that look brilliant in a sandbox fail the moment they hit production? For platform leaders, the answer is a lack of environmental parity: the ability to interact with the exact data state and service topology where the actual bugs live. When an agent attempts to modify a schema, optimize a query, or reproduce a bug without access to the real-world data state, it hits the Data Context Gap.
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influxdata

When Your Plant Talks Back: Conversational AI with InfluxDB 3

Mar 10, 2026 By Suyash Joshi In InfluxData
No one wants to stare at a plant and guess if it needs water. It’s much easier if the plant can say, “I’m thirsty.” A few years ago, we built Plant Buddy using InfluxDB Cloud 2.0. The linked article is still a great guide for cloud-first IoT prototyping as it shows how quickly you can connect devices, store time series data, and build dashboards in the cloud with the previous version of InfluxDB. But this time, the goal was different.
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