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Mercury lands on Azure AI Foundry for private-instance deployment

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x.com
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Inception@_inception_ai

Mercury is now available on Azure AI Foundry! This means you can leverage Mercury's speeds with the security of a private Azure instance and all the features of the broader Azure ecosystem. Read more: https://t.co/6Hotow3ruD #dLLM #AzureAI

Context

Inception's November 2025 Mercury release on Microsoft's Azure AI Foundry gave customers a way to provision the within their Azure infrastructure. The deployment instructions describe selecting model capacity and managing access through Azure's existing controls. They also distinguish two costs: a Mercury software license, listed at $0.78 per hour in the announcement, and separately billed computing resources. The useful change was an Azure deployment option with its own operating costs and configuration, rather than simply another address for the public API. Deployment announcement

Terms in this piece · Glossary
  • LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
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