Google Cloud Partners with Hugging Face for Generative AI Development
Google Cloud and Hugging Face have teamed up to improve generative AI and ML development. This allows developers on the latter’s platform to use Google Cloud’s AI-optimised infrastructure in a cost-effective way for training and serving open models. This includes leveraging compute, TPUs, and GPUs to build new generative AI applications. It involves features like Vertex AI integration for easy model training, support for Google Kubernetes Engine (GKE) deployments, and access to Cloud TPU v5e for enhanced performance. Additionally, the partnership plans to introduce future support for A3 VMs with NVIDIA’s H100 Tensor Core GPUs. This aligns with Hugging Face’s goal to democratise AI and Google Cloud’s commitment to supporting the open-source AI ecosystem. Vertex AI and GKE deployment options on the Hugging Face platform are expected to be available in the first half of 2024. “Google Cloud and Hugging Face share a vision for making generative AI more accessible and impactful for developers,” said Thomas Kurian, chief executive officer at Google Cloud. “This partnership ensures that developers on Hugging Face will have access to Google Cloud’s purpose-built AI platform, Vertex AI, along with our secure infrastructure, which can accelerate the next generation of AI services and applications.” “With this new partnership, we will make it easy for Hugging Face users and Google Cloud customers to leverage the latest open models together with leading optimised AI infrastructure and tools from Google Cloud including Vertex AI and TPUs to meaningfully advance developers’ ability to build their own AI models.” said Clement Delangue, chief of Hugging Face.
Developers can leverage compute, TPUs, and GPUs for creating generative AI applications, incorporating features like Vertex AI integration, Google Kubernetes Engine support, and Cloud TPU v5e for improved performance.
Developers can leverage compute, TPUs, and GPUs for creating generative AI applications, incorporating features like Vertex AI integration, Google Kubernetes Engine support, and Cloud TPU v5e for improved performance.
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["Go", "Hugging Face", "TPU", "AI", "ML", "RAG", "generative AI", "ai_frameworks:Hugging Face", "R", "kubernetes"]
["AI", "ML", "generative AI", "Hugging Face", "RAG", "kubernetes", "TPU", "R", "Go", "ai_frameworks:Hugging Face"]
Shritama (she/her) is a technology journalist at AIM who is passionate to explore generative AI with a special focus on big techs, database, healthcare, DE&amp;I, hiring in tech and more.