Google Cloud announces the 5th generation of its custom TPUs
Google Cloud has launched the fifth generation of its tensor processing units (TPUs), offering improved efficiency and cost-effectiveness for AI training and inferencing.
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Posted 8/29/2023, 12:02:18 PM
techcrunch.com
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Nvidia and Google Cloud Platform are expanding their partnership to support the growth of AI and large language models, with Google now utilizing Nvidia's graphics processing units and gaining access to Nvidia's next-generation AI supercomputer.
Google Cloud is heavily investing in generative AI, leveraging its innovations in Tensor Processing Units (TPUs) to provide accelerated computing for training and inference. They offer a wide range of foundation models, including PaLM, Imagen, Codey, and Chirp, allowing for customization and use in specific industries. Google Cloud's Vertex AI platform, combined with no-code tools, enables researchers, developers, and practitioners to easily work with generative AI models. Additionally, Google has integrated their AI assistant, Duet AI, with various cloud services to automate tasks and assist developers, operators, and security professionals.
Bayer is partnering with Google Cloud to utilize AI technology, such as Tensor Processing Units and Vertex AI, to improve the clinical trial and drug discovery process, automate regulatory documentation, and drive innovation in the field of radiology.
Google is rolling out its generative AI software, Gemini, to select corporates, which is based on large language models and can power various advanced technologies; once fully satisfied with its performance, Google will commercially release the final version through its Google Cloud Vertex AI service.
Google's upcoming Tensor G4 chip, expected to launch in 2025, will not be as impressive as previously predicted, as it will still be an Exynos derivative and build upon its predecessor, the Tensor G3. Google plans to eventually build its own IP library to design a fully custom chip by 2025.