Google Cloud’s AI tools bring together innovations from across Google to help organizations thrive with AI.
Tens of thousands of customers, from start-ups to established enterprises, use Google Cloud’s built-in AI capabilities to make technology their biggest competitive advantage.
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"Doing AI efficiently at Google-scale is a feat that few other companies in the world are capable of. Google brings that experience and infrastructure to Google Cloud AI Infrastructure. Google offers the whole package for AI workloads."—The Forrester Wave™: AI Infrastructure Solutions, Q1 2024
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Google's decades-long dedication to pioneering top-tier tech has culminated into a library of solutions that help businesses innovate with ease.
In part one of this three-part series on AI in Google Cloud, you’ll uncover how Google Cloud’s AI tools empower you to harness the full power of the cloud.
Want all three parts right now? We’ve got you covered. Get the free eBook now for a comprehensive overview of Google Cloud AI.
Vertex AI helps developers train high-quality, custom ML models in just minutes with little effort or expertise. It’s a simple way to train, tune, and deploy machine learning models. It opens the door for a new era of applications that can create, recommend, troubleshoot, synthesize, analyze, and engage in a natural way.
With Vertex AI, you can use Google Cloud’s AI Infrastructure to power your enterprise-grade AI applications – with any level of technical sophistication. It empowers businesses to focus on a model’s application, not managing the overhead of underlying infrastructure.
There are three options for training models:
Vertex AI’s versatility helps developers optimize their AI models across a variety of tasks.
Some of Vertex AI’s tools include:
| Ray on Vertex AI | Extends OSS offerings with Managed Ray service. Integrated across Training, Predictions, and MLOps. |
| Vertex AI Conversation | Build custom chat and voice bots powered by gen AI and grounded in your enterprise data. |
| Vertex AI Extensions | Build enterprise-ready extensions and extension-powered apps using private and external extensions. |
| Vertex AI Search | Deliver relevant, personalized search experiences in minutes, for enterprise apps or consumer-facing websites. |
Architecture of Google Cloud’s AI Hypercomputer (Source)
AI Hypercomputer is a supercomputing architecture. It’s composed of a suite of technologies optimized for modern AI workloads, including performance-optimized hardware that:
BigQuery helps organizations turn big data into valuable insights with built-in machine learning.
This serverless, multi-cloud data platform uses AI and SQL to analyze data in powerful ways. It’s an optimal solution for teams with SQL expertise looking to quickly develop ML models on their data.
And the best part? Users can store 10 GiB of data and run up to 1 TiB of queries per month for free, or use the BigQuery sandbox to run sample queries at no cost!
Gemini for Google Cloud is a new generation of enterprise-ready AI that helps organizations be more innovative and productive.
Some of Gemini’s tools include:
| Gemini Code Assist | Accelerate software delivery with higher velocity and quality. |
| Gemini Cloud Assist | Efficiently manage cloud applications across the application lifecycle. |
| Gemini in BigQuery | Fast-track data analysis to improve query performance and get valuable insights. |
| Gemini in Databases | Supercharge and simplify database development and management. |
| Gemini in Looker | Automate data insights with new ways to chat and engage with data. |
| Gemini in Security | Navigate security challenges with robust, elevated security expertise. |
In just a few clicks and in as little as a few minutes, developers can use Vertex AI Agent Builder to easily create enterprise-grade gen AI applications.
Vertex AI Agent Builder combines the power of Vertex AI Search and Conversation products with enhanced tooling to empower businesses to:
How TensorFlow fits into Google Cloud (Source)
Developers can create a TensorFlow Deep Learning VM instance from the Cloud Marketplace. This helps businesses:
Since TensorFlow is developed by Google, there are lots of Google Cloud integrations with the library, including TFX for Pipelines and Vertex AI integration.
Are you using Google Cloud’s AI tools to harness the full power of the cloud?
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In our Mastering AI/ML on Google Cloud eBook, dive even deeper into how Google Cloud’s AI tools empower businesses to innovate with ease. Get the free eBook now.
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Jump to Part 2 of the blog series here.