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  • Writer's pictureSamiksha Jain

Collaboration Between Google Cloud and Hugging Face Targets AI Developers


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Google Cloud, part of Alphabet Inc., has teamed up with a startup called Hugging Face to make AI software development easier on Google Cloud. This partnership is a response to growing interest in AI among businesses, who want to use it for things like improving their products or meeting internal needs.


Hugging Face, known for its open-source AI software, will offer its tools on Google Cloud. This means developers can use Google Cloud to access and work with Hugging Face's AI models and data sets. Google Cloud is also updating its technology to work with advanced AI chips from Nvidia.


Google Cloud and Hugging Face Partnership: Google's cloud computing division has joined forces with a startup called Hugging Face. They want to make it simpler for people to create AI software using Google Cloud.


Why This Partnership Big companies like Microsoft and Google's parent company, Alphabet, have been making AI tools for everyday users. Seeing this, lots of businesses, big and small, want to use AI too.


They see it as a way to make their products better or to help with things they need to do inside their companies. To help with these specific uses, Google Cloud and Hugging Face decided to work together.


Hugging Face's Role: Hugging Face is a company that has a lot of AI software that anyone can use. It's like a big library of AI tools. Before teaming up with Google Cloud, they had a similar deal with Amazon's cloud service.


What the Partnership Offers: With this partnership, people who use Google Cloud for their technical needs can now easily get to Hugging Face's AI tools. These tools include different kinds of AI models and data.


Growing Interest in Custom AI: According to Thomas Kurian, the CEO of Google Cloud, there's a big demand for AI services that run on the cloud. He believes this will become even bigger than traditional cloud software. The partnership formed because customers of cloud services are more interested in making or changing their own AI models rather than just using ready-made options.


Safety and Quality: One reason for building or modifying AI models is to make sure they are safe and don’t accidentally share private data. It's also important to check how good the AI model is.


Rapid Growth of Hugging Face's Repository: Hugging Face's collection of AI software is growing very quickly. It's set to double in size in just four months, which is a lot faster than before.


Advanced Technology Integration: Google Cloud is also working to make sure its system works well with the latest AI chips from Nvidia, which are really powerful for AI tasks. This integration is expected to happen very soon.


FAQs


Q1: What is cloud computing and how is it related to AI?

A1: Cloud computing is the delivery of different services through the internet, including data storage, servers, databases, networking, and software. AI in cloud computing refers to the integration of artificial intelligence technologies with cloud-based computing environments to enhance data analytics, machine learning, and other computational tasks.


Q2: What is the significance of AI chips like Nvidia's H100?

A2: AI chips like Nvidia's H100 are designed specifically for AI workloads. They provide the necessary computational power to efficiently process complex AI tasks, such as deep learning and neural network processing, leading to faster and more efficient AI computations.


Q3: Who or what is Hugging Face?

A3: Hugging Face is a startup known for its extensive collection of open-source AI software, models, and datasets. It has become a central hub for AI developers

and has previously collaborated with Amazon’s cloud service.


Q4: Why did Google Cloud partner with Hugging Face?

A4: This partnership responds to the increasing demand from businesses to use AI for enhancing products and meeting internal needs. It allows Google Cloud users to access a vast range of AI models and datasets provided by Hugging Face, facilitating the development of tailored AI solutions.


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