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pagezyhf 
posted an update about 1 month ago
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2787
🚀 Big news for AI builders!

We’re thrilled to announce that the Qwen3-VL family of vision-language models is now available on Azure AI Foundry, thanks to our collaboration with Microsoft.

We bring open-source innovation to enterprise-grade AI infrastructure, making it easier than ever for enterprise to deploy and scale the latest and greatest from models from hugging Face securely within Azure.

🔍 Highlights:

- Deploy Qwen3-VL instantly via managed endpoints
- Built-in governance, telemetry, and lifecycle management
- True multimodal reasoning — vision, language, and code understanding
- State-of-the-art performance, outperforming closed-source models like Gemini 2.5 Pro and GPT-5
- Available in both *Instruct* and *Thinking* modes, across 24 model sizes

👉 Get started today: search for Qwen3-VL in the Hugging Face Collection on Azure AI Foundry.
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pagezyhf 
posted an update 3 months ago
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844
What’s your biggest headache deploying Hugging Face models to the cloud—and how can we fix it for you?
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pagezyhf 
posted an update 3 months ago
pagezyhf 
posted an update 3 months ago
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3900
🤝 Collaborating with AMD to ensure Hugging Face Transformers runs smoothly on AMD GPUs!

We run daily CI on AMD MI325 to track the health of the most important model architectures and we’ve just made our internal dashboard public.

By making this easily accessible, we hope to spark community contributions and improve support for everyone!
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pagezyhf 
posted an update 4 months ago
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3217
We've improved the Deploy button on Hugging Face model pages for Microsoft Azure

1/ no more long waits before seeing model support status

2/ ready-to-use CLI and Python snippets

3/ redirection to Azure AI Foundry rather than Azure ML

✋ if you see any bugs or have feedback, open an issue on our repo:
https://github.com/huggingface/Microsoft-Azure
pagezyhf 
posted an update 4 months ago
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2191
Deploy GPT OSS models with Hugging Face on Azure AI!

We’re thrilled to enable OpenAI GPT OSS models on Azure AI Model Catalog for Azure users to try the model securely the day of its release.

In our official launch blogpost, there’s a section on how to deploy the model to your Azure AI Hub. Get started today!

https://huggingface.co/blog/welcome-openai-gpt-oss#azure
pagezyhf 
posted an update 4 months ago
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279
We now have the newest Open AI models available on the Dell Enterprise Hub!

We built the Dell Enterprise Hub to provide access to the latest and greatest model from the Hugging Face community to our on-prem customers. We’re happy to give secure access to this amazing contribution from Open AI on the day of its launch!

https://dell.huggingface.co/
pagezyhf 
posted an update 5 months ago
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360
🟪 Qwen/Qwen3‑235B‑A22B‑Instruct‑2507‑FP8 is now available in Microsoft Azure for one‑click deployment! 🚀

Check out their blogpost: https://qwenlm.github.io/blog/qwen3/

You can now find it in the Hugging Face Collection in Azure ML or Azure AI Foundry, along with 10k other Hugging Face models 🤗🤗
Qwen/Qwen3-235B-A22B-Instruct-2507-FP8

Bear with us for the non‑quantized version.
pagezyhf 
published 2 models 5 months ago
pagezyhf 
posted an update 5 months ago
pagezyhf 
posted an update 5 months ago
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213
🎉 New in Azure Model Catalog: NVIDIA Parakeet TDT 0.6B V2

We're excited to welcome Parakeet TDT 0.6B V2—a state-of-the-art English speech-to-text model—to the Azure Foundry Model Catalog.

What is it?

A powerful ASR model built on the FastConformer-TDT architecture, offering:
🕒 Word-level timestamps
✍️ Automatic punctuation & capitalization
🔊 Strong performance across noisy and real-world audio

It runs with NeMo, NVIDIA’s optimized inference engine.

Want to give it a try? 🎧 You can test it with your own audio (up to 3 hours) on Hugging Face Spaces before deploying.If it fits your need, deploy easily from the Hugging Face Hub or Azure ML Studio with secure, scalable infrastructure!

📘 Learn more by following this guide written by @alvarobartt

https://huggingface.co/docs/microsoft-azure/azure-ai/examples/deploy-nvidia-parakeet-asr
pagezyhf 
posted an update 5 months ago
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1273
If you want to dive into how the HF team worked with @seungrokj at @AMD
to optimize kernels on MI300, you should give a read to our latest blog!

Such a great educational material for anyone curious about the world of optimizing low level ML.

https://huggingface.co/blog/mi300kernels
pagezyhf 
posted an update 5 months ago
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1641
In case you missed it, Hugging Face expanded its collaboration with Azure a few weeks ago with a curated catalog of 10,000 models, accessible from Azure AI Foundry and Azure ML!

@alvarobartt cooked during these last days to prepare the one and only documentation you need, if you wanted to deploy Hugging Face models on Azure. It comes with an FAQ, great guides and examples on how to deploy VLMs, LLMs, smolagents and more to come very soon.

We need your feedback: come help us and let us know what else you want to see, which model we should add to the collection, which model task we should prioritize adding, what else we should build a tutorial for. You’re just an issue away on our GitHub repo!

https://huggingface.co/docs/microsoft-azure/index
pagezyhf 
posted an update 6 months ago
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3252
Hackathons in Paris on July 5th and 6th!

Hugging Face just wrapped 4 months of deep work with AMD to push kernel-level optimization on their MI300X GPUs. Now, it's time to share everything we learned.

Join us in Paris at STATION F for a hands-on weekend of workshops and a hackathon focused on making open-source LLMs faster and more efficient on AMD.

Prizes, amazing host speakers, ... if you want more details, navigate to https://lu.ma/fmvdjmur!
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pagezyhf 
posted an update 6 months ago
pagezyhf 
posted an update 8 months ago
pagezyhf 
posted an update 10 months ago
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1765
We published https://huggingface.co/blog/deepseek-r1-aws!

If you are using AWS, give a read. It is a running document to showcase how to deploy and fine-tune DeepSeek R1 models with Hugging Face on AWS.

We're working hard to enable all the scenarios, whether you want to deploy to Inference Endpoints, Sagemaker or EC2; with GPUs or with Trainium & Inferentia.

We have full support for the distilled models, DeepSeek-R1 support is coming soon!! I'll keep you posted.

Cheers
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pagezyhf 
posted an update 11 months ago
pagezyhf 
posted an update about 1 year ago