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dacorvoย  updated a model about 4 hours ago
aws-neuron/optimum-neuron-cache
dacorvoย  updated a model about 4 hours ago
aws-neuron/optimum-neuron-cache
dacorvoย  updated a model about 4 hours ago
aws-neuron/optimum-neuron-cache
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jeffboudierย 
posted an update 1 day ago
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AMD summer hackathons are here!
A chance to get hands-on with MI300X GPUs and accelerate models.
๐Ÿ‡ซ๐Ÿ‡ท Paris - Station F - July 5-6
๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai - July 12-13
๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru - July 19-20

Hugging Face and GPU Mode will be on site and on July 6 in Paris @ror will share lessons learned while building new kernels to accelerate Llama 3.1 405B on ROCm

Register to Paris event: https://lu.ma/fmvdjmur?tk=KeAbiP
All dates: https://lu.ma/calendar/cal-3sxhD5FdxWsMDIz
pagezyhfย 
posted an update 1 day ago
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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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pagezyhfย 
posted an update 9 days ago
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Webinar Alert

Build your first chatbot with a Hugging Face Spaces frontend and Gaudi-powered backend with @bconsolvo ! He will teach you how to build an LLM-powered chatbot using Streamlit and Hugging Face Spacesโ€”integrating a model endpoint hosted on an Intelยฎ Gaudiยฎ accelerator.

Beginners are welcome

https://web.cvent.com/event/70e11f23-7c52-4994-a918-96fa9d5e935f/summary

  • 1 reply
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jeffboudierย 
posted an update 14 days ago
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Today we launched Training Cluster as a Service, to make the new DGX Cloud Lepton supercloud easily accessible to AI researchers.

Hugging Face will collaborate with NVIDIA to provision and set up GPU training clusters to make them available for the duration of training runs.

Hugging Face organizations can sign up here: https://huggingface.co/training-cluster
jeffboudierย 
posted an update 28 days ago
jeffboudierย 
posted an update about 1 month ago
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Wrapping up a week of shipping and announcements with Dell Enterprise Hub now featuring AI Applications, on-device models for AI PCs, a new CLI and Python SDK... all you need for building AI on premises!

Blog post has all the details: https://huggingface.co/blog/dell-ai-applications
jeffboudierย 
posted an update about 1 month ago
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Transcribing 1 hour of audio for less than $0.01 ๐Ÿคฏ

@mfuntowicz cooked with 8x faster Whisper speech recognition - whisper-large-v3-turbo transcribes at 100x real time on a $0.80/hr L4 GPU!

How they did it: https://huggingface.co/blog/fast-whisper-endpoints

1-click deploy with HF Inference Endpoints: https://endpoints.huggingface.co/new?repository=openai%2Fwhisper-large-v3-turbo&vendor=aws&region=us-east&accelerator=gpu&instance_id=aws-us-east-1-nvidia-l4-x1&task=automatic-speech-recognition&no_suggested_compute=true
jeffboudierย 
posted an update about 2 months ago
pagezyhfย 
posted an update 2 months ago
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If you haven't had the chance to test the latest open model from Meta, Llama 4 Maverick, go try it on AMD MI 300 on Hugging Face!

amd/llama4-maverick-17b-128e-mi-amd
jeffboudierย 
posted an update 3 months ago
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Llama4 is out and Scout is already on the Dell Enterprise Hub to deploy on Dell systems ๐Ÿ‘‰ dell.huggingface.co
jeffboudierย 
posted an update 3 months ago
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Enterprise orgs now enable serverless Inference Providers for all members
- includes $2 free usage per org member (e.g. an Enterprise org with 1,000 members share $2,000 free credit each month)
- admins can set a monthly spend limit for the entire org
- works today with Together, fal, Novita, Cerebras and HF Inference.

Here's the doc to bill Inference Providers usage to your org: https://huggingface.co/docs/inference-providers/pricing#organization-billing
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pagezyhfย 
posted an update 5 months ago
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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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pagezyhfย 
posted an update 5 months ago
jeffboudierย 
posted an update 6 months ago
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NVIDIA just announced the Cosmos World Foundation Models, available on the Hub: nvidia/cosmos-6751e884dc10e013a0a0d8e6

Cosmos is a family of pre-trained models purpose-built for generating physics-aware videos and world states to advance physical AI development.
The release includes Tokenizers nvidia/cosmos-tokenizer-672b93023add81b66a8ff8e6

Learn more in this great community article by @mingyuliutw and @PranjaliJoshi https://huggingface.co/blog/mingyuliutw/nvidia-cosmos
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pagezyhfย 
posted an update 7 months ago
pagezyhfย 
posted an update 7 months ago
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Itโ€™s 2nd of December , hereโ€™s your Cyber Monday present ๐ŸŽ !

Weโ€™re cutting our price down on Hugging Face Inference Endpoints and Spaces!

Our folks at Google Cloud are treating us with a 40% price cut on GCP Nvidia A100 GPUs for the next 3๏ธโƒฃ months. We have other reductions on all instances ranging from 20 to 50%.

Sounds like the time to give Inference Endpoints a try? Get started today and find in our documentation the full pricing details.
https://ui.endpoints.huggingface.co/
https://huggingface.co/pricing
pagezyhfย 
posted an update 7 months ago
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Hello Hugging Face Community,

if you use Google Kubernetes Engine to host you ML workloads, I think this series of videos is a great way to kickstart your journey of deploying LLMs, in less than 10 minutes! Thank you @wietse-venema-demo !

To watch in this order:
1. Learn what are Hugging Face Deep Learning Containers
https://youtu.be/aWMp_hUUa0c?si=t-LPRkRNfD3DDNfr

2. Learn how to deploy a LLM with our Deep Learning Container using Text Generation Inference
https://youtu.be/Q3oyTOU1TMc?si=V6Dv-U1jt1SR97fj

3. Learn how to scale your inference endpoint based on traffic
https://youtu.be/QjLZ5eteDds?si=nDIAirh1r6h2dQMD

If you want more of these small tutorials and have any theme in mind, let me know!
jeffboudierย 
posted an update 7 months ago
pagezyhfย 
posted an update 7 months ago
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Hello Hugging Face Community,

I'd like to share here a bit more about our Deep Learning Containers (DLCs) we built with Google Cloud, to transform the way you build AI with open models on this platform!

With pre-configured, optimized environments for PyTorch Training (GPU) and Inference (CPU/GPU), Text Generation Inference (GPU), and Text Embeddings Inference (CPU/GPU), the Hugging Face DLCs offer:

โšก Optimized performance on Google Cloud's infrastructure, with TGI, TEI, and PyTorch acceleration.
๐Ÿ› ๏ธ Hassle-free environment setup, no more dependency issues.
๐Ÿ”„ Seamless updates to the latest stable versions.
๐Ÿ’ผ Streamlined workflow, reducing dev and maintenance overheads.
๐Ÿ”’ Robust security features of Google Cloud.
โ˜๏ธ Fine-tuned for optimal performance, integrated with GKE and Vertex AI.
๐Ÿ“ฆ Community examples for easy experimentation and implementation.
๐Ÿ”œ TPU support for PyTorch Training/Inference and Text Generation Inference is coming soon!

Find the documentation at https://huggingface.co/docs/google-cloud/en/index
If you need support, open a conversation on the forum: https://discuss.huggingface.co/c/google-cloud/69