Announcement Updates

Vertex AI Vision announces significant updates to its software tool, including improved performance and new capabilities in versions 4.0 and 2.0.

Google Cloud announces updated Cloud TPU capabilities, enabling faster and more efficient machine learning workloads.

Get started with Cloud TPU, a custom-developed application-specific integrated circuit (ASIC) used to accelerate machine learning workloads.

Get started with Cloud TPU and access Tensor Processing Units (TPUs) from Compute Engine, Google Kubernetes Engine, and Vertex AI. Learn more about TPUs and their benefits.

Get the latest information on Cloud TPU, including new features, improvements, and best practices. Learn how to optimize your machine learning workloads with our custom-developed application-specific integrated circuits (ASICs).

Get the latest on Vertex AI Vision's updated capabilities for ingesting real-time video data, including improved performance and new features.

Cloud TPU documentation updated with new features, improved performance, and enhanced security. Get started with $300 in free credit for a proof of concept.

Get the latest update on Google Cloud's new features and changes, including details on what's changing, why it matters, and how to adapt.

Get started with Cloud TPU v5e inference, now available for improved performance in large language model serving. Learn more about the benefits and requirements.

JAX users must update their code to take advantage of new bfloat16 support and improved performance on Cloud TPUs.

This document provides a step-by-step guide to running PyTorch code on Cloud TPU VMs, including setup, verification, and performance.

Get the latest information on Cloud TPUs, including system architecture and pricing. Learn how to get started with $300 in free credit.

Get the latest on Tensor Processing Units (TPUs), a custom-developed application-specific integrated circuit (ASIC) used to accelerate machine learning workloads. Learn about accessing TPUs from Compute Engine, Google Kubernetes Engine and Vertex AI.

This document provides a brief introduction to working with PyTorch and Cloud TPU. Learn how to create a Cloud TPU, connect to it, install PyTorch/XLA, perform a basic calculation, and clean up resources.

Get started with Cloud TPU and access $300 in free credit, including flash thinking capabilities.

Develop a robust knowledge base with technical authority, engagement optimization, and premium content standards.

Google Cloud announces the release of Document AI version 4.0, featuring improved performance, new capabilities, and enhanced security.

Stay organized with collections and save time with Google Cloud's latest update to Document AI, introducing improved Form Parser capabilities for efficient document processing.

Get the latest on Vertex AI Vision's updated streaming and ingestion capabilities, including improved performance and new features for real-time video data processing.

Get the latest on Vertex AI Vision's major updates, including version 4.0 and 2.0, which bring enhanced computer vision capabilities for real-time data ingestion, analysis, and storage.

A new update to Cloud TPU system architecture has been announced, providing improved performance and scalability for machine learning workloads.

Learn how to run calculations on Cloud TPU VMs using PyTorch, including setup and configuration steps.

ElevenLabs has announced an update to its voice generation capabilities, introducing new features and improvements. The update focuses on enhancing the quality and range of AI-generated audio.

Discover the latest enhancements to the Gemini API, designed to improve performance, security, and user experience.

Imagin safety filtering is deprecated. Learn how to migrate and what this means for your application.