Recent Blogs
7 MIN READ
Black Forest Labs’ (BFL) FLUX.2 is now available on Microsoft Foundry. Building on FLUX1.1 [pro] and FLUX.1 Kontext [pro], we’re excited to introduce FLUX.2 [pro] which continues to push the fronti...
Dec 15, 2025268Views
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Today, we’re excited to announce that DeepSeek-V3.2 and DeepSeek-V3.2-Speciale are now available in Microsoft Foundry directly from Azure.These models bring state-of-the-art reasoning, hyper-efficien...
Dec 15, 2025243Views
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Fine‑tuning isn’t just “better prompts.” It’s how you tailor a foundation model to your domain and tasks to get higher accuracy, lower cost, and faster responses -- then run it at scale. As Agents be...
Dec 11, 2025311Views
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These new retrieval models deliver state-of-the-art accuracy, multilingual coverage across 100+ languages, and breakthrough performance for enterprise search and retrieval-augmented generation (RAG) ...
Dec 11, 20251.6KViews
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n8n now supports Azure AI Search vector stores with hybrid search and semantic reranking out of the box. Built on Foundry IQ primitives, this integration brings enterprise-grade retrieval to your aut...
Dec 10, 20252KViews
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The ability to run advanced AI models directly on smartphones is transforming the mobile landscape. Foundry Local for Android simplifies the integration of generative AI models, allowing teams to del...
Dec 10, 2025202Views
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Kimi K2 Thinking represents a major leap forward in agentic intelligence. Designed as a true thinking agent, it performs multi-step reasoning, orchestrates long chains of tool calls, and maintains st...
Dec 08, 20251.6KViews
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3 MIN READ
Announcing GPT-5.1-codex-max: The Future of Enterprise Coding Starts Now
We’re thrilled to announce the general availability of OpenAI's GPT-5.1-codex-max in Microsoft Foundry Models; a leap forwar...
Dec 05, 20253.1KViews
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Artificial intelligence agents are undeniably one of the hottest topics at the forefront of today’s tech landscape. As more individuals and organizations increasingly rely on AI agents to simplify th...
Dec 04, 2025728Views
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3 MIN READ
You may be aware that you can build indexes in Azure AI Search by pulling data from known data sources, like Azure Blob storage, SQL server, OneLake, etc. When using the ‘pull’ method, the built-in i...
Dec 01, 2025412Views
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