Cloud Computing

Looking to fine-tune multimodal AI models for your specific domain but facing infrastructure and implementation challenges? This guide demonstrates how to overcome the multimodal implementation gap using Google Cloud and Axolotl, with a complete hands-on example fine-tuning Gemma 3 on the SIIM-ISIC Melanoma dataset. Learn how to scale from concept to production while addressing the

BigQuery provides a powerful platform for analyzing large-scale datasets with high performance. However, as data volumes and query complexity increase, maintaining operational efficiency is essential. BigQuery workload management provides comprehensive control mechanisms to optimize workloads and resource allocation, preventing performance issues and resource contention, especially in high-volume environments. And today, we’re excited to announce several

Today, we are excited to announce that Gartner® has named Google as a Leader in the 2025 Magic Quadrant™ for Data Science and Machine Learning Platforms report (DSML). We believe that this recognition is a reflection of continued innovations to address the needs of data science and machine learning teams, as well as new types

Here’s a common scenario when building AI agents that might feel confusing: How can you use the latest Gemini models and an open-source framework like LangChain and LangGraph to create multimodal agents that can detect objects?  Detecting objects is critically important for use cases from content moderation to multimedia search and retrieval. Langchain provides tools

For years, BigQuery has been synonymous with fully managed, fast, petabyte-scale analytics. Its columnar architecture and decoupled storage and compute have made it the go-to data warehouse for deriving insights from massive datasets.  But what about the moments between the big analyses? What if you need to: Modify a handful of customer records across huge

The latest version of the Bigtable Spark connector opens up a world of possibilities for Bigtable and Apache Spark applications, not least of which is additional support for Bigtable and Apache Iceberg, the open table format for large analytical datasets. In this blog post, we explore how to use the Bigtable Spark connector to interact

Last month at Google Cloud Next ‘25, we announced MCP Toolbox for Databases to make it easier to connect generative AI agents to databases, and automate core enterprise workflows. MCP Toolbox for Databases (Toolbox) is an open-source Model Context Protocol (MCP) server that allows developers to easily connect gen AI agents to enterprise data. It

In today’s cloud environments, security teams need more than just surface-level visibility; they require actionable insight to ensure that their cloud workloads are safe. Unlike third-party cloud security tools that rely on data available via public APIs, Security Command Center (SCC) is built directly into Google Cloud. This gives us unmatched visibility into the safety