#Cloud Run
35 articles filed under this tag
Google Cloud Blueprint: Introducing new AI functions for AlloyDB: ai.classify and ai.extract — How Does It Work?
Architectural Thesis: Transactional databases store vast amounts of unstructured text — clinical notes, customer reviews, support tickets, invoices, and property descriptions. Historically, working with this text meant building complex application code: You had... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: Introducing Gemini for healthcare — How Does It Work in Production?
Architectural Thesis: Every healthcare organization is working to deliver great care to more people at a lower cost. However, a general AI model is not enough to solve this challenge. Today, healthcare runs on fragmented data. Patient records, coverage... Real-World Field Use Cases: 1. High-Throughput Enterprise Workloads...
Google Cloud Blueprint: Now generally available: GKE dynamic slicing for higher resilience — How Does It Work?
Architectural Thesis: Running large-scale AI workloads on TPU and Google Kubernetes Engine (GKE) requires infrastructure that adapts as fast as your models change. Dynamic Slicing is generally available on GKE, which decouples logical TPU slice formation from... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: The Blueprint: Orchestrating 5,000+ AI assets for a World Cup TV spot — How Does It Work?
Architectural Thesis: Welcome back to The Blueprint, a regular feature where we highlight how Google Cloud customers are tackling unique and common challenges across industries using the latest AI and cloud technologies. We hope to inspire others looking to... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: Gemini Omni 1.2 Flash: Fast, cost-effective, and reliable video — How Does It Work?
Architectural Thesis: Today, Gemini Omni 1.2 Flash is generally available on Google Cloud. Built for the everyday videos businesses make in volume — like product videos, virtual try-ons, and ads — this model is fast, cost-effective, and follows your image... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: Introducing Physical-Engineering’s Last Exam for agents — How Does It Work in Production?
Architectural Thesis: Authors: Burak Gokturk, VP Research & Development; Rujun Han, Research Scientist; George Lee, Product Manager. Today, the Google AI & Infrastructure team is announcing Physical-Engineering's Last Exam (PLE) , a new benchmark and open... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: Gemini Robotics Embodied Reasoning 2 is now available on Google Cloud — How Does It Work?
Architectural Thesis: Earlier this year, we introduced Gemini Robotics 2 — our next-generation intelligence layer enabling robots to think, act, and adapt in the physical world. At the core of this breakthrough is Gemini Robotics Embodied Reasoning 2 (ER 2) , a... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: Easy to integrate, compliant by design: Bringing the Swiss Franc — How Does It Work?
Architectural Thesis: Every day, countless financial transactions are interrupted by slow, expensive, and inflexible conventional payment systems. As a result, public commercial stablecoins like Tether, USDC, and PayPal USD have become increasingly popular by... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: Google Cloud expands model choice and flexibility, bringing OpenAI — How Does It Work?
Architectural Thesis: Google Cloud has always been defined by choice, enterprise-grade governance, and market-leading price-performance. Key to the foundation of openness and choice is giving customers flexibility to run agentic workloads across their choice of... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: How Visko streams real-time world models on Google Cloud TPUs — How Does It Work?
Architectural Thesis: Editor's note: Generative AI startups are moving rapidly beyond static clip generation to build interactive, real-time worlds. In this technical deep dive, we explore how AI startup Visko collaborated with Google Cloud TPU engineers to... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: Building full virtual vehicles on Google Cloud: From AAOS — How Does It Work in Production?
Architectural Thesis: Imagining traditional gearheads getting their hands on software-defined vehicles is an amusing thought experiment. With their socket wrenches and air compressors at the ready, they might be confused to encounter core functions more likely... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: Introducing Gemini for government services — How Does It Work in Production?
Architectural Thesis: Earlier this month at Gemini at Work, we introduced the Gemini agent: a single, universal agent for work. It answers your questions, handles your knowledge work, creates your images and media, and writes and runs code. You give it... Real-World Field Use Cases: 1. High-Throughput Enterprise Workloads...
Google Cloud Blueprint: Power your agents: Gemini 3.8 Live with Live Avatar is now generally — How Does It Work?
Architectural Thesis: Following our announcement of Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking last week, we are thrilled to share that Gemini 3.8 Live with Live Avatar is now generally available in Gemini Enterprise . First previewed at Google Cloud... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: Architecting autonomy: A design pattern for high-compute, governed — How Does It Work?
Architectural Thesis: In production systems today, most AI agents operate as lightweight dispatchers. They parse a prompt, make an API call, retrieve a record, and hand back control. Their execution is fast, stateless and cheap. Biotechnology does not work this... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: Predictable AI spend in BigQuery: Introducing cost management — How Does It Work?
Architectural Thesis: The generative AI functions in BigQuery ( AI.GENERATE , AI.IF , AI.CLASSIFY , AI.SCORE , and more) bring large language models (LLMs) directly into your SQL, so a single query can classify millions of support tickets or score each product... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: Gemini 4 Argon available on Google Cloud, built to help solve your — How Does It Work?
Architectural Thesis: Last week we announced that Gemini Enterprise has evolved to make it even simpler to get work done, and introduced the Gemini agent , your new universal agent for work. It's always on and ready to answer your questions. It will write code... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: Welcome to Gemini at Work 2026: Introducing the Gemini agent — How Does It Work?
Architectural Thesis: Editor’s note: This article is adapted from Thomas Kurian’s keynote address at Gemini at Work 2026. It includes a number of announcements: Gemini , a single, universal agent for work that answers your questions, handles your knowledge... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: Cloud CISO Perspectives: Sticking to security fundamentals in the AI — How Does It Work?
Architectural Thesis: Welcome to the first Cloud CISO Perspectives for August 2026. Today, Chris Betz explains why the AI era makes it more important than ever to lean into security fundamentals. As with all Cloud CISO Perspectives, the contents of this... Real-World Field Use Cases: 1. High-Throughput Enterprise Workloads...
Google Cloud Blueprint: FinOps for the AI era: New flexible billing and cost controls — How Does It Work?
Architectural Thesis: Editor's note: A product image was updated after initial publication. As AI takes on more complex work, business leaders face a new challenge: enabling rapid innovation using agents while protecting their margins and budgets. To get a real... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: Why your startup needs open models alongside frontier APIs — How Does It Work?
Architectural Thesis: 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... Real-World Field Use Cases: 1. High-Throughput Enterprise Workloads...
Google Cloud Blueprint: The three things today's hottest startups are looking for in their AI — How Does It Work?
Architectural Thesis: Google Cloud has become the platform of choice for startups building AI. Our uniquely complete stack — including a choice of first- and third-party compute and models ; our platform for building and managing agents; and our products for... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: Reimagining work: How Pythian’s internal AI playbook delivers customer — How Does It Work?
Architectural Thesis: When Pythian rolled out Google Cloud’s Gemini Enterprise across our 500-person company in 27 countries, the goal was simple: use our own company as a proving ground to discover how enterprise AI actually delivers ROI. What we found changed... Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: What’s new in AI infrastructure and orchestration in August — How Does It Work?
Architectural Thesis: Welcome back to What’s new in AI infrastructure and orchestration this month , a collection of product updates, how-tos, customer stories, research and other resources about all the AI compute, networks, storage, frameworks, and... Real-World Field Use Cases: 1. High-Throughput Enterprise Workloads...
Getting started with Mantis, our open-source bug finding-and-fixing harness — How Does It Work in Production?
<div class="block-paragraph_advanced"><p><span style="vertical-align: baseline;">AI models have clearly proven their ability to discover and exploit vulnerabilities without much, if any, human assistance. To help defenders gain the advantage with AI, we built Real-World Field Use Cases: 1. High-Throughput Production...
Agentic FinOps on Google Cloud: Automating Cloud Spend Accountability at Scale — How Does It Work in Production?
How enterprise engineering teams deploy Agentic FinOps architectures using Google ADK and Gemini on Google Cloud to automate BigQuery billing anomaly detection and cloud spend accountability at scale.
Cloud CISO Perspectives: Autonomous AI Threat Detection and Enterprise Defense on GCP — How Does It Work?
Welcome to the first Cloud CISO Perspectives for September 2026. Sandra Joyce shares the latest details on Google visibility into how attackers use AI and how enterprise security teams use autonomous defenses to stop them. Real-World Field Use Cases: 1. High-Throughput Enterprise Workloads: Isolating P99 tail-latency and...
Google Cloud Media Delivery at Scale: Serving Billions of Concurrent IPL Requests — How Does It Work in Production?
For the millions of fervent fans of the Indian Premiere League (IPL), being able to count on a flawless live streaming cricket experience is never up for debate. For Airtel, producing league TV broadcasts with some of the world's most massive concurrent viewer Real-World Field Use Cases: 1. High-Throughput Enterprise...
Google Cloud Blueprint: Spanner Migrations and Automating Dual-Write with Antigravity CLI — How Does It Work?
Architectural Thesis: When Google's Finance Engineering team needed to modernize their legacy data layer, they chose Spanner , a globally distributed, strongly consistent, multi-model database with high availability capabilities. But migrating to Spanner... Real-World Field Use Cases: 1. High-Throughput Enterprise Workloads...
Google Cloud Blueprint: Google is a Leader in the 2026 Gartner® Magic Quadrant™ for Enterprise — How Does It Work?
Architectural Thesis: We are excited to share that Gartner has named Google a Leader in its inaugural 2026 Magic Quadrant for Enterprise AI Assistants . In this comprehensive evaluation of top enterprise AI assistant vendors, Gartner placed Google in the... Real-World Field Use Cases: 1. High-Throughput Enterprise Workloads...
Cloud SQL PostgreSQL 17 + pgvector: Hybrid HNSW Indexing at 10,000 QPS
Combining relational ACID guarantees with sub-10ms semantic vector retrieval over Unix domain sockets in Cloud Run.
Cloud Storage FUSE Gen 2: Zero-Redeploy Content Lakes for Next.js 15
Eliminating daily Docker rebuilds by mounting GCS buckets directly into Cloud Run with gRPC metadata caching.
BigQuery Physical Storage Billing: Achieving 8x Compression on Telemetry Tables
Step-by-step FinOps migration blueprint from logical active/long-term bytes to physical compressed storage with time-travel tuning.
Vertex AI Context Caching: Cutting Enterprise LLM Inference Costs by 75%
Production patterns for caching massive system prompts, RAG corpora, and multi-turn conversation prefixes in Gemini.
Google Cloud Enterprise AI: Production Multi-Agent Systems with ADK
Deep-dive into enterprise agent governance, Vertex AI grounding, and zero-cold-start Cloud Run serverless deployment.
Google Cloud Run Introduces Native GPU Support for Serverless AI Microservices
Why lease a luxury penthouse year-round just to sleep there on weekends? Google Cloud Run now supports NVIDIA L4 GPUs with true scale-to-zero economics, eliminating the costly idle-GPU penalty for AI microservices.