Cloud Computing

The rise of generative AI has ushered in an era of unprecedented innovation, demanding increasingly complex and more powerful AI models. These advanced models necessitate high-performance infrastructure capable of efficiently scaling AI training, tuning, and inferencing workloads while optimizing for both system performance and cost effectiveness. Google Cloud has been pioneering AI infrastructure for over […]

We’re excited to announce the Developer Preview of DynamoDB Mapper for Kotlin. This high-level library provides streamlined, idiomatic ways for developers to map data between their business logic written in Kotlin and their tables in DynamoDB. DynamoDB Mapper works with most Kotlin data classes right out of the box and also offers powerful features for

Today, we’re announcing that GitHub will make Gemini models – starting with Gemini 1.5 Pro – available to developers on its platform for the first time through a new partnership with Google Cloud. Developers value flexibility and control in choosing the best model suited to their needs — and this partnership shows that the next

Editor’s note: Unity Ads, a mobile advertising platform, previously relying on its own self-managed Redis infrastructure, was searching for a solution that scales better for various use cases and reduces maintenance overhead. Unity migrated their workloads to Memorystore for Redis Cluster, a fully managed service designed for high-performance workloads. Their infrastructure now handles up to

In September 2024, Google Threat Intelligence Group (consisting of Google’s Threat Analysis Group (TAG) and Mandiant) discovered UNC5812, a suspected Russian hybrid espionage and influence operation, delivering Windows and Android malware using a Telegram persona named “Civil Defense”. “Civil Defense” claims to be a provider of free software programs designed to enable potential conscripts to

The potential of AI has never been greater, and infrastructure plays a foundational role in driving it forward. AI Hypercomputer is our supercomputing architecture based on performance-optimized hardware, open software, and flexible consumption models. Together, these offer exceptional performance and efficiency, resiliency at scale, and give you the flexibility to choose offerings at each layer

In today’s data-driven world, the ability to efficiently transform raw data into actionable insights is paramount. However, data preparation and cleaning is often a significant challenge. Reducing this time and efficiently transforming raw data into insights is crucial for staying competitive. Earlier this month, we introduced BigQuery data preparation, an AI-first solution that streamlines and