Google Cloud Blog

Learn TensorFlow and deep learning, without a Ph.D.

Getting AI to write good SQL

Learn about text-to-SQL techniques like context building and table retrieval, LLM-as-a-judge, and LLM prompting and post-processing.

How a Japanese cucumber farmer is using deep learning and TensorFlow

Find anything fast with Google's vector search technology

Recently, Google Cloud partner Groovenauts, Inc. published a live demo of MatchIt Fast . As the demo shows, you can find images and text similar to a selected sample from a collection of millions in a matter of milliseconds:

Cloud Run GPUs, now GA, makes running AI workloads easier for everyone

Support for GPUs in Cloud Run makes running GPU-accelerated applications simpler, faster, and more cost-effective, as well as enabling new use cases.

Cloud Video Intelligence API

Google Imagen 2

Today, we’re sharing a significant upgrade to Google Cloud’s image-generation capabilities with Imagen 2 , our most advanced text-to-image technology, which is now generally available for Vertex AI customers on the allowlist (i.e., approved for access).

New Map APIs from Google

Introducing new AI-powered products and tools from Google Maps Platform. Learn more

Cloud TPU VMs are generally available

Cloud TPU VMs with Ranking & Recommendation acceleration are generally available on Google Cloud. Customers will have direct access to TPU host machines.

DeepBreath: Preventing angry emails with machine learning

Trillium TPU Is GA

Trillium, Google’s sixth-generation Tensor Processing Unit (TPU) is now GA, delivering enhanced performance and cost-effectiveness for AI workloads.

Cloud TPU v5p and AI Hypercomputer

The new TPU v5p is a core element of AI Hypercomputer, which is tuned, managed, and orchestrated specifically for gen AI training and serving.

Google’s Cloud TPU Pods are now publicly available in beta

Cloud TPU Pods are now available in beta, helping you train models faster and at lower cost in the cloud.

Cloud AI Platform Pipelines

AI Platform Pipelines provides enterprise-ready infrastructure for deploying and running structured ML workflows, and pipeline tools for building, debugging, and sharing pipelines and components.

TPU transformation: A look back at 10 years of our AI-specialized chips

Google has been a leader on AI development for more than a decade by also being a leader in chip development for more than a decade.

20th Century Fox Uses ML to Predict a Movie Audience

Success in the movie industry relies on a studio’s ability to attract moviegoers—but that’s sometimes easier said than done. Moviegoers are a diverse group, with a wide variety of interests and preferences. Historically, movie studios have relied heavily on experience when deciding to invest in a particular script—but…

Announcing the Pollen API

Introducing new AI-powered products and tools from Google Maps Platform. Learn more

Mayo Clinic to partner with Google

Google Cloud will be at the cornerstone of Mayo Clinic’s digital transformation as it looks to the cloud to enhance patient and clinician experiences, improve diagnostics and patient outcomes, and expand its unparalleled clinical research.

Protecting customers with generative AI indemnification

Google Cloud assumes responsibility for potential legal risks of using our generative AI, offering indemnities for training data and generated output.

TPU v4 provides exaFLOPS-scale ML with efficiency gains

A new paper describes how Google’s Cloud TPU v4 outperforms TPU v3 by 2.1x on a per-chip basis, and improves performance/Watt by 2.7x.

Google Cloud TPU Multislice Training

We used Multislice Training to run the world’s largest LLM distributed training job on a compute cluster of 50,944 Cloud TPU v5e chips.

Train TensorFlow models faster and at lower cost on Cloud TPU Pods

TPUs provide a faster and more cost-effective way to train machine learning models. Learn more about the benefits of training models on Cloud TPU Pods.

Squawk bots: Can generative AI lead us to understanding animals?

The Earth Species Project is using large language models to develop tools to decipher animal communication.

Localllm lets you develop gen AI apps on local CPUs

Want to use open-source LLM models from Hugging Face on your local development environment? With localllm and Cloud Workstations, you can.

Measuring the environmental impact of AI inference

A methodology for measuring the energy, emissions, and water impact of Gemini prompts shines a light on the environmental impact of AI inference.