Hosting DeepSeek AI with Cloud Run GPUs: Flexibility and Scalability
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In this thrilling episode from Google Cloud Tech, the formidable Lisa takes us on a high-octane ride through the world of hosting the powerful DeepSeek AI model using Cloud Run GPUs. With the precision of a seasoned race car driver, Lisa demonstrates how Cloud Run offers unparalleled flexibility for coding in various languages and libraries, all neatly packaged into containers. The adrenaline-inducing Cloud shell in the Google Cloud project becomes Lisa's playground, allowing her to experiment and manage projects effortlessly.
With the installation of a command line tool, Lisa kicks things into high gear, making it a breeze to download and run large language models like the impressive DeepSeek. Deploying the OAMA container as a new Cloud Run service, Lisa showcases the seamless process of loading models from the internet on demand, all while harnessing the power of GPUs for maximum performance. The excitement peaks as Lisa tests the DeepSeek model, effortlessly setting up the host environment variable and running the Oama tool to download the massive 5GB model, showcasing the sheer simplicity of integrating the model into Cloud Run.
Lisa's mastery extends to utilizing Google's Vertex API for Cloud Run services, offering a hassle-free solution without the complexities of managing GPUs. Whether opting for pre-built models or crafting custom ones, Lisa demonstrates how Cloud Run provides the ideal platform for running AI applications with unparalleled control and flexibility. The episode culminates in a crescendo of scalability discussions, highlighting how Cloud Run dynamically handles traffic spikes with automatic instance scaling, ensuring optimal performance without idle resource wastage. Lisa's expertise shines as she navigates the nuances of loading models in production applications, guiding viewers through the various methods available, each with its unique advantages and considerations.
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Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
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