Cloud Computing

Every week, I talk with founders who are building at an unbelievable pace. Teams are moving from inception to product-market fit faster than ever, with foundation models wired deeply into their core product workflows. Yet as startup architectures mature, a clear divide has emerged between teams struggling with margins and those scaling sustainably. The most

Whether you are mapping global forest cover, detecting changes in the built environment, or monitoring agricultural yields, writing scripts in Google Earth Engine is a powerful way to develop these insights. This platform is part of Google Earth AI, our collection of geospatial models and datasets designed to help you transform planetary information into actionable

Today, we’re excited to announce the general availability of our next-generation Storage-optimized Z4D machine series in Google Compute Engine with both Virtual Machine (VM) and bare-metal instances.  We built Z4D for IO-intensive and business-critical workloads that require large local storage capacity and high storage performance, including SQL, NoSQL, KVrocks and vector databases, data analytics and

The volume of data being generated today brings both opportunity and massive operational complexity. Most teams that operate at scale don’t discover issues until they appear on an invoice — and by the time an unusual access pattern shows up as a line item, it has often been running for weeks. Understanding what happened means

At Google Cloud, we are committed to delivering the best managed experience backed by open source software. Today, we’re announcing the general availability of Memorystore for Valkey 9.1, which achieves up to 3x queries per second (QPS) at microsecond latency compared to Memorystore for Redis Cluster. Our support for Valkey dates back to 2024, when

Reinforcement learning (RL) has been a keystone of modern LLM post-training, but it demands large training clusters and access to model internals that external customers can’t have with proprietary models like Gemini. So here at Google Cloud, we packaged it into a managed RL fine-tuning service (RLFT service) — you bring prompts and a reward