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Home/Models & Labs
Models & Labs

Hugging Face Models Now on Microsoft Foundry

Hugging Face Blog·July 7, 2026·high confidence

Why it matters

  • →Provides enterprise-grade deployment for open-source models.
  • →Enhances accessibility and usability of Hugging Face models in professional settings.
  • →Bridges the gap between open AI innovation and enterprise infrastructure.
Hugging Face Models Now on Microsoft Foundry
©Hugging Face Blog

Microsoft Foundry has expanded its platform to include Hugging Face models, providing a comprehensive solution for deploying open-weight models in enterprise settings. This integration allows developers to access a curated selection of Hugging Face models, which are security-screened and optimized for enterprise use. Foundry's managed compute services ensure that these models can be deployed efficiently, with automatic updates and integration into existing enterprise systems. This collaboration enhances the accessibility of open-source models for professional use, offering a seamless path from model selection to deployment.

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Profiling PyTorch Attention: Insights and Optimizations© Hugging Face Blog
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Profiling PyTorch Attention: Insights and Optimizations

Hugging Face's latest blog post delves into the intricacies of profiling attention mechanisms in PyTorch, revealing the impact of different implementations on performance. By comparing naive and in-place operations, the article demonstrates how a minor adjustment can eliminate unnecessary memory operations, enhancing efficiency in large models. The post also evaluates PyTorch's built-in Scaled Dot Product Attention, which simplifies coding but may lead to unexpected performance variations depending on the backend. This exploration highlights the critical role of understanding underlying operations for deploying models effectively.

Hugging Face Blog·Jul 10, 2026

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llama.cpp Releases·Jul 11, 2026