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Simon Pagezy
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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: โก Optimized performance on Google Cloud's infrastructure, with TGI, TEI, and PyTorch acceleration. ๐ ๏ธ Hassle-free environment setup, no more dependency issues. ๐ Seamless updates to the latest stable versions. ๐ผ Streamlined workflow, reducing dev and maintenance overheads. ๐ Robust security features of Google Cloud. โ๏ธ Fine-tuned for optimal performance, integrated with GKE and Vertex AI. ๐ฆ Community examples for easy experimentation and implementation. ๐ 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
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Introducing HUGS - Scale your AI with Open Models
Oct 23
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Deploy Meta Llama 3.1 405B on Google Cloud Vertex AI
Aug 19
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Google Cloud TPUs made available to Hugging Face users
Jul 9
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Introducing Spaces Dev Mode for a seamless developer experience
May 21
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#14 opened about 1 year ago by
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[Cache Request] meta-llama/Meta-Llama-3-8B
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#71 opened 7 months ago by
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