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Organizations can choose to run artificial intelligence (AI) workloads in any number of different locations on-premises or on different types of cloud infrastructure.
There is no shortage of cloud options when it comes to AI platforms, and it is also clear that the adoption of AI in general is also contributing to the growth of the cloud. At the Google Cloud Next 2022 event kicked off today, Google made it clear that it wants to be the business of choice for AI and machine learning (ML) workloads.
At the event, Google announced a range of services, including the new Vertex AI Vision service, a computer vision-as-a-service capability. Google also hopes to make it easier for businesses to build specific types of applications that take advantage of AI, and that’s where the new AI Agents service fits in. aims to bring together different machine learning frameworks.
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Google gives computer vision an ‘easy’ button
Vertex AI was first launched by Google in May 2021 as a fully managed cloud AI service. Over the past year and a half, Google has incrementally expanded the capabilities of the service to help organizations with specific use cases.
Computer vision is one of the most common forms of AI use cases and provides image recognition capabilities that can be used for a variety of applications. With its new Vertex AI Vision services, Google offers its users a managed service to more easily build and deploy computer vision.
“This one [Vertex AI Vision] is a fully managed service for computer vision applications that allows you to automatically analyze video streams, images and detect objects,” said Gerrit Kazmaier, VP and GM of Database, Data Analytics and Looker at Google during a news conference. “In fact, providing all of our customers with the ability to build advanced machine learning applications in a very streamlined way.”
The goal of making it easier for organizations to take advantage of AI is also behind Google’s AI Agents initiatives. With AI Agents, Google builds out specific “agents,” which are purpose-built services for a specific function that are powered by Google AI technologies. At Google Cloud Next 2022, the company will announce such an AI agent with the new Translation Hub service. Kazmaier explained that the Translation Hub service allows users to take documents and translate them into up to 135 different languages.
“Translation Hub actually builds on this idea of using AI and machine learning to make knowledge more accessible and wider,” Kazmaier said. “Think of a company [and] the ability it gives you to understand and serve markets in different languages, so we are very excited about making translations more accessible to the world with the Translation Hub.”
Open-source machine learning moves forward with OpenXLA
Google is also using the Next 2022 event as a venue to highlight how it can also collaborate with others in the AI and ML community.
“Google is partnering with a number of open-source AI frameworks with industry experts, including AMD, Arm, Intel, Meta, Nvidia, and others as part of our shared commitment to unite the AI ecosystem and help customers platform or to prevent model locking.” Sachin Gupta, VP and GM, of infrastructure at Google Cloud said at a news conference.
The collaboration will take place through the new OpenXLA project, which Gupta says aims to reduce the cost and complexity of ML implementation. The way OpenXLA will help is by addressing the problem of fragmentation seen in ML infrastructure today. Gupta said that with an open community of contributors, OpenXLA is developing a modular compiler and infrastructure tools to accelerate AI development.
“Our long-term commitment to open ecosystems is based on the belief that no company should own AI and ML innovation,” Gupta said.
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