Cloud Computing

Organizations interested in AI today have access to amazing computational power with Tensor Processing Units (TPUs) and Graphical Processing Units (GPUs), while foundational models like Gemini are redefining what’s possible. Yet for many enterprises a critical obstacle to AI is the data itself, specifically unstructured data. According to Enterprise Strategy Group, for most organizations, 61%

At Google Cloud, we are committed to helping customers deploy your high performance computing (HPC) grid workloads to our platform. Today, we are thrilled to announce the general availability of open-source IBM Spectrum Symphony HostFactory connectors for Google Compute Engine and Google Kubernetes Engine (GKE).  This integration between Google Cloud and IBM Spectrum Symphony gives

Your team wants to deploy AI agents, and you’re probably wondering: Will they work together? Can we control the costs? How do we maintain security standards? These are important questions that every enterprise faces when adopting new AI technology. Google Cloud Marketplace gives you a proven path forward, whether you need to build custom AI

If you’ve worked with Large Language Models (LLMs), you’re likely familiar with this scenario: your team’s prompts are scattered across documents, spreadsheets, and different cloud consoles. Iterating is often a manual and inefficient process, making it difficult to track which changes actually improve performance.  To address this, we’re introducing LLM-Evalkit, a light-weight, open-source application designed

At Google, protecting your data is our most important responsibility, and we are committed to keeping your data safe. To further this commitment, we are proud to announce that starting in November 2025, we will start transitioning our approach to media sanitization to fully rely on a robust and layered encryption strategy. This marks a