Cloud Computing

Confidential Computing has redefined how organizations can securely process their sensitive workloads in the cloud. The growth in our hardware ecosystem is fueling a new wave of adoption, enabling customers to use Confidential Computing to support cutting-edge uses such as building privacy-preserving AI and securing multi-party data analytics.  We are thrilled to share our latest […]

Want to save some money on large AI training? For a typical PyTorch LLM training workload that spans thousands of accelerators for several weeks, a 1% improvement in ML Goodput can translate to more than a million dollars in cost savings1. Therefore, improving ML Goodput is an important goal for model training — both from

If you’re building a generative AI application or an AI agent, there’s a high likelihood you’ll need to perform simultaneous searches on structured and unstructured data. For example, the prompt “Show me all pictures of sunsets I took in the past month” includes a structured part (the date is within the past month) and an

Welcome to the first Cloud CISO Perspectives for May 2025. Today, Iain Mulholland, senior director, Security Engineering, pulls back the curtain on how Google Cloud approaches security engineering and how we take secure by design from mindset to production. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google

The telecommunications industry is undergoing a profound transformation, with AI and generative AI emerging as key catalysts. Communication service providers (CSPs) are increasingly recognizing that these technologies are not merely incremental improvements but fundamental drivers for achieving strategic business and operational objectives. This includes enabling digital transformation, fostering service innovation, optimizing monetization strategies, and enhancing

The explosion of digital content from social media, smartphones, and other sources has created a massive amount of unstructured data like images, videos, and documents. To help you analyze this data, BigQuery is connected with Vertex AI, Google Cloud’s powerful AI platform, so you can use advanced AI models, like Gemini 2.5 Pro/Flash, to understand

Like most organizations, Google Cloud is continually engaging with customers, partners, and policymakers to deliver technology capabilities that reflect their needs. When it comes to digital sovereignty solutions, Google Cloud has worked with customers for nearly a decade.  Today, we’re pleased to announce significant technical and commercial updates on our sovereign cloud solutions for customers,

Today, we’re excited to announce Google AI Edge Portal in private preview, Google Cloud’s new solution for testing and benchmarking on-device machine learning (ML) at scale.  Machine learning on mobile devices enables amazing app experiences. But how will your model truly perform across the vast, diverse, and ever-changing landscape of mobile devices? Manually testing at

Cloud Run has become a go-to app hosting solution for its remarkable simplicity, flexibility, and scalability. But the age of AI-assisted development is here, and going from idea to application is faster and more streamlined than ever. Today, we’re excited to make AI deployments easier and more accessible by introducing new ways to deploy your

Today, we are introducing the next wave of generative AI media models on Vertex AI: Imagen 4, Veo 3, and Lyria 2.  We’ve already seen customers generate stunning, photorealistic images with Imagen 3, Google’s image generation model. Customers have taken these images and transformed them into high quality videos and assets with Veo 2. We’ve