Google AI Studio and the Gemini API now offer Grounding with Google Search, so you can get more accurate and fresh results! Dive into how it works, best practices, and much more with Stephanie Wong and Shrestha Basu Mallick. Watch the full video, here → https://goo.gle/3Cpw2S9
Google Cloud
Software Development
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Welcome to the new way to cloud.
Tungkol sa amin
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
- Website
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https://cloud.google.com/
External na link para sa Google Cloud
- Industriya
- Software Development
- Laki ng kompanya
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- Headquarters
- Mountain View, California
Mga update
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In the wise words of Warren Barkley, Vertex AI product leader: invest in an AI platform—not just models. In this edition of our LinkedIn newsletter, learn how to choose the right AI platform to maximize the impact of your #generativeAI investments and deliver long-lasting business value ↓
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Google embarks on a long-term partnership with the companies of Schwarz Gruppe, Europe’s largest retail group, to deliver sovereign and secure collaboration and productivity solutions for Germany and Europe. Learn more here: https://goo.gle/3UPlaDj
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#GKE nodes no bounds: Today at #KubeCon + #CloudNativeCon, we're introducing support for 65,000-node clusters! With support for up to 65,000 nodes, we believe GKE offers more than 10X larger scale than the other two largest public cloud providers. Scaling to 65,000 nodes provides much-needed capacity to the world’s most resource-hungry AI workloads. Combined with innovations in accelerator computing power, this will enable customers to reduce model training time or scale models to multi-trillion parameters or more → https://goo.gle/48Mb4Zu
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Check out this innovative sentiment analysis prototype that combines the Gemini API with Angular to enhance online safety! Watch as developer Muhammad Ahsan Ayaz demonstrates the Gemini API's advanced capabilities: 💬 Detect and prevent toxic comments in real time 📱 Process multiple types of content 🎯 Understand extensive context for better accuracy From sentiment analysis to user safety, developers are using the Gemini API to bring their ideas to life. Start building in AI Studio today → https://goo.gle/3ANgVkI
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Take a look back at all our AI Hypercomputer software updates. For example: To make the innovations in our open software stack easily accessible to developers and practitioners, we are introducing AI Hypercomputer in GitHub, a central place where you can discover reference implementations such as MaxText, MaxDiffusion, orchestration tools such as xpk (the Accelerated Processing Kit for cluster creation and workload management), and performance recipes for GPUs on Google Cloud. Also: MaxText now supports A3 Mega VMs. MaxText with A3 Mega VMs can deliver near linear scaling of training performance as you scale the number of VMs in the cluster. And this: To give you more flexibility, we've now expanded MaxText to include both "capped" and "no-cap" MoE implementations so you can choose the best implementation for your model architecture. Capped MoE models offer predictable performance, while no-cap models dynamically allocate resources for optimal efficiency. + faster training and inference, a new resource hub, and more → https://goo.gle/3AGciZR
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PUMA's motto, #ForeverFaster, isn’t just about athletic performance; it also describes its rapid response to market changes, like the shift to online shopping. Because leveraging first-party data, and data quality in general, are major priorities for online retailers, PUMA Group partnered with Google Cloud to test our #ML capabilities to create advanced audiences based on high purchase propensity with different data sets in BigQuery. Learn how designing its own machine learning model allowed PUMA to analyze and extract valuable insights from first-party data, enable predictive analytics, and attribute conversions and interactions to the right touchpoints → https://goo.gle/3YZH2ya
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Let's simplify your VMware Engine deployment and management. In this step-by-step guide, you'll get a deep dive into core configurations and advanced integrations, empowering you to build a resilient, scalable VMware environment on Google Cloud → https://goo.gle/3UMg9eR
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Get hands-on with #generativeAI and #MLOps in this new learning path on Google Cloud Skills Boost: Deploy and manage generative AI models → https://goo.gle/3YWTOxi Go down this path to learn how to: ✅ Deploy and manage gen AI models ✅ Apply responsible AI principles ✅ Mitigate AI risks This path also features a brand new course on security for AI models!
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The company behind Ubuntu, Canonical, wanted to make it even easier for users to run and use Ubuntu for their AI workloads—whether in cloud, on-premises, or hybrid environments—while ensuring security, reliability, and high performance. Cue: Google Cloud. Learn how Google Cloud’s AI-ready infrastructure is helping Ubuntu customers tap into the full potential of #OpenSource innovation without worrying about complex integration, security, and compliance challenges.