AI has accelerated startup innovation more than any technology since perhaps the internet itself, and we’ve been fortunate to have a front row seat to much of this innovation here at Google Cloud. Nine of the top ten AI labs use Google Cloud, as does nearly every AI unicorn and more than 60% of the […]
How Google Cloud’s AI tech stack powers today’s startups Read More »
MCP Toolbox for Databases (Toolbox) is an open-source MCP server that makes it easy for developers to connect gen AI agents to enterprise data, with initial support for databases like BigQuery, AlloyDB, Cloud SQL, and Spanner. Since launching earlier this year, Toolbox has made it easier for millions of developers to access enterprise data in
Announcing MCP Toolbox support for Firestore Read More »
As enterprises increasingly adopt model context protocol (MCP) to extend capabilities of AI models to better integrate with external tools, databases, and APIs, it becomes even more important to ensure secure MCP deployment. MCP unlocks new capabilities for AI systems; it can also introduce new risks, such as tool poisoning, prompt injection, and dynamic tool
How to secure your remote MCP server on Google Cloud Read More »
People often think of BigQuery in the context of data warehousing and analytics, but it is a crucial part of the AI ecosystem as well. And today, we’re excited to share significant performance improvements to BigQuery that make it even easier to extract insights from your data with generative AI. In addition to native model
It’s hard to believe it’s been over 10 years since Kubernetes first set sail, fundamentally changing how we build, deploy, and manage applications. Google Cloud was at the forefront of the Kubernetes revolution with Google Kubernetes Engine (GKE), providing a robust, scalable, and cutting-edge platform for your containerized workloads. Since then, Kubernetes has emerged as
GKE network interface at 10: From core connectivity to the AI backbone Read More »
State and local governments across the nation face a myriad of challenges, including strained budgets, aging infrastructure, and a complex regulatory landscape. In California, these challenges are compounded by a rapidly growing population and increasing demand for public services. To address these issues, the state is turning to technology as a catalyst for change. California,
How California is transforming public services with Google Cloud Read More »
Trading in capital markets demands peak compute performance, with every microsecond impacting critical decisions and market outcomes. At Google Cloud, we’re committed to providing global markets with the cutting-edge infrastructure they need to create and participate in digital exchange ecosystems. Our industry investments enable a purpose-built, cloud-native market infrastructure solution leveraging a global network that
Setting new expectations: Benchmarking high-performance trading with C3 machines Read More »
Ryan chats with Karen Ng, EVP of Product at HubSpot, to chat about Model Context Protocol (MCP) and how they implemented it for their server for their CRM product.
What an MCP implementation looks like at a CRM company Read More »
High-quality text embeddings are the engine for modern AI applications like semantic search, classification, and retrieval-augmented generation (RAG). But when it comes to picking a model to generate these embeddings, we know one size doesn’t fit all. Some use cases demand state-of-the-art quality, while others prioritize cost, speed, or compatibility with the open-source ecosystem. To
Gemini and OSS text embeddings are now in BigQuery ML Read More »
The Domain Name System (DNS) is like the internet’s phone book, automatically and near-instantly translating requests for websites and mobile apps from their domain names to the Internet Protocol addresses of the actual computers hosting them. As part of the bedrock of the internet, DNS and domain name lookup are also prime vehicles for threat
New DNS Armor can help detect, mitigate domain name system risks Read More »
