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atlassian

Bitbucket Packages adds PyPI and NuGet support

Jun 24, 2026 By Hamreet Kaur In Atlassian
If your team bIf your team builds with Python or.NET, your packages have likely lived separately from your code, stored in a registry with distinct login, permissions, and billing. Starting today, they don’t have to. Bitbucket Packages now supports the Python Package Index (PyPI) and NuGet, integrating Python and.NET package management into the platform where your team writes code, reviews pull requests, and runs pipelines.
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atlassian

Trace packages back to their source pipeline

Jun 24, 2026 By Ash Moosa In Atlassian
When we introduced native Pipelines authentication for Bitbucket Packages, we made it easier to publish artifacts from CI/CD without relying on personal credentials. Now we’re extending that integration further: package artifacts published through the Pipelines integration can display a Source Pipeline, making it easy to trace an artifact back to the pipeline run that created it.
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atlassian

Introducing Package triggers in Bitbucket Pipelines

Jun 24, 2026 By Ash Moosa In Atlassian
In November 2025, we introduced new triggers and workflows to Bitbucket Pipelines to help teams manage and scale complex CI/CD workflows. We later extended that foundation with additional event-based triggers for pipeline, deployment, and pull request events. We’re now extending that model with a new package-artifact-created trigger.
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jfrog

Native Xet Protocol Support in JFrog Artifactory: How Enterprise Model Management Actually Works

Jun 24, 2026 By Zohar Sacks In JFrog
Machine learning models are not like other software artifacts. A single fine-tuned LLM can weigh 70 GB. A model family may share 95% of its weights across dozens of variants. When hundreds of developers, training jobs, and GPU clusters all need the same model at the same time, the infrastructure underneath needs to be built for it.
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Kubex

New in Kubex: KAI Scheduler Integration for Shared GPU Inference

Jun 24, 2026 By Kubex In Densify
Today, we’re launching Kubex support for the KAI Scheduler and automated GPU sharing for inference workloads. As AI inference moves into production, platform teams are being asked to serve more models, support more teams, and control GPU costs at the same time. But many inference workloads do not need an entire GPU all the time. When teams reserve full GPUs or oversized GPU fractions to stay safe, expensive capacity can sit idle across the cluster.
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How AI Shopping Assistants Are Turning E-Commerce Search Into an Operational Advantage

How AI Shopping Assistants Are Turning E-Commerce Search Into an Operational Advantage

Jun 24, 2026 By OpsMatters In OpsMatters
Conversational AI in retail crossed into production faster than most technology adoption cycles typically allow. What started as a novelty chat widget is now treated by operations and product teams as a core piece of the customer-facing stack, the case for that reclassification rests entirely on operational outcomes rather than interface aesthetics.
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5 Ways Digital Tools Can Help the Grant of Probate Process

5 Ways Digital Tools Can Help the Grant of Probate Process

Jun 24, 2026 By OpsMatters In OpsMatters
The grant of probate process can often feel overwhelming, filled with intricate legalities and the emotional weight of losing a loved one. However, in our increasingly digital world, innovative tools are stepping in to simplify this journey. Digital solutions, along with legal support from seasoned grant of probate solicitors, offer a reprieve from the traditional bottlenecks of probate. Imagine navigating this complex landscape with ease, armed with powerful software and online resources that transform a daunting process into a manageable one.
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How does Radio Over IP Technology Maintain Communication During a Major Cellular Network Blackout?

How does Radio Over IP Technology Maintain Communication During a Major Cellular Network Blackout?

Jun 24, 2026 By OpsMatters In OpsMatters
When a major cellular network blackout strikes, modern reliance on data-driven mobile devices often collapses instantly. Connectivity that professionals depend on for coordination vanishes, leaving important operations in the dark. Radio over IP (RoIP) bypasses these fragile public infrastructures by digitizing voice signals and transmitting them across private, hardened networks.
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