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  5. Building the foundation for running extra-large language models
Building the foundation for running extra-large language models
IN EVIDENZA

Building the foundation for running extra-large language models

We built a custom technology stack to run fast large language models on Cloudflare’s infrastructure. This post explores the engineering trade-offs and technical optimizations required to make high-performance AI inference accessible.

DevOps e cloudCloudflare BlogPubblicato: 16 aprile 2026Inglese (alto segnale quando c’è poco volume locale)
DevOps e cloud
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AWS Launches Agent Registry in Preview to Govern AI Agent Sprawl Across Enterprises

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AWS Introduces S3 Files, Bringing File System Access to S3 Buckets

AWS recently introduced S3 Files, which lets users mount an Amazon S3 bucket and access its data through a standard file system interface. Applications can read and write files using standard file operations, while the system automatically…

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Why MicroVMs: The Architecture Behind Docker Sandboxes

Last week, we launched Docker Sandboxes with a bold goal: to deliver the strongest agent isolation in the market. This post unpacks that claim, how microVMs enable it, and some of the architectural choices we made in this approach. The…

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