Learn how Gradient reimagines compute management through ML powered optimization. Imagine a world where you could simply tell your data infrastructure what you want it to achieve, rather than meticulously configuring every detail. This is precisely what Jeff Chou, Co-founder and CEO of Sync, discussed in the latest daily.dev webinar. This innovative concept is being made real through Gradient, the AI agent for data infrastructure from Sync. Tune into Jeff below to learn how Gradient can help you save up to 50% on compute, or read on for key points. Cloud resource allocation is one of the toughest challenges at the heart of modern computing. These days, when a data engineer wants to submit a job on the cloud they need to specify the compute resources for that job. Manual cluster tuning is time-consuming and error-prone. Thankfully, there is a better way. One that also transforms data infrastructure from static to dynamic. Gradient optimizes the entire data pipeline automatically, reducing human errors and optimizing costs. It can fine-tune models and clusters based on AI-based optimization, saving time and resources. The AI agent can scale seamlessly, optimizing thousands of jobs effortlessly. With Gradient, you can level up your engineers by augmenting their team with powerful optimization tools. Learn how Gradient by Sync works, see a demo in action, and explore the features like monitoring, alerts, actionable insights, and more. Assess cloud costs, save on compute, control SLAs, and automate cluster tuning with Gradient. Understand root causes, identify anomalies, and optimize your data pipeline efficiently. Visit the Sync website to access resources like compute resources, Databricks health check, success stories, documentation, developer docs, blog, optimization tips, and videos. Get to know the people behind Sync, explore career opportunities, and book a demo to see the future of data infrastructure with Gradient by Sync.
