Site icon AIT365

Google Cloud and Hugging Face Announce Strategic Partnership to Accelerate Generative AI and ML Development

Google Cloud

Google Cloud and Hugging Face announced a new strategic partnership that will allow developers to utilize Google Cloud’s infrastructure for all Hugging Face services, and will enable training and serving of Hugging Face models on Google Cloud.

The partnership advances Hugging Face’s mission to democratize AI and furthers Google Cloud’s support for open source AI ecosystem development. With this partnership, Google Cloud becomes a strategic cloud partner for Hugging Face, and a preferred destination for Hugging Face training and inference workloads. Developers will be able to easily utilize Google Cloud’s AI-optimized infrastructure including compute, tensor processing units (TPUs), and graphics processing units (GPUs) to train and serve open models and build new generative AI applications.

Google Cloud and Hugging Face will partner closely to help developers train and serve large AI models more quickly and cost-effectively on Google Cloud, including:

Also Read: Tenable Named a CRN 2024 Cloud 100 Company

“Google Cloud and Hugging Face share a vision for making generative AI more accessible and impactful for developers,” said Thomas Kurian, CEO 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.”

“From the original Transformers paper to T5 and the Vision Transformer, Google has been at the forefront of AI progress and the open science movement,” said Clement Delangue, CEO of Hugging Face. “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 optimized AI infrastructure and tools from Google Cloud including Vertex AI and TPUs to meaningfully advance developers ability to build their own AI models.”

SOURCE: PRNewswire

Exit mobile version