In capital markets, operational success is built on predictable performance and low latency, where even tiny variations in packet timing alter queue priority and trade execution. At the same time, both exchange venues and their participants face mounting constraints in traditional on-premises data c

As customers modernize to lakehouse architectures, they are standardizing on open formats such as Apache Iceberg to create a shared data estate across compatible engines. This enables you to build AI-native lakehouses that turn data to semantic knowledge, enable proactive action, and operate at an a

Co-authors: Stenal Jolly, Strategic Cloud Engineer, Google Anubhav Dhawan, Software Engineer, Google Following the landmark announcement of MCP Toolbox v1.0, we're thrilled to announce that the MCP Toolbox Java SDK has officially reached version 1.0. This release brings first-class, type-safe agent

For modern AI and RAG applications, achieving high search relevance requires that you combine at least two techniques: vector search for semantic context, and full-text search (FTS) for keyword precision. While AlloyDB for PostgreSQL supports both of these capabilities, managing them has traditional

Amazon Prime Day 2026 was exclusively for Prime members and ran June 23–26, 2026 with millions of deals across more than 35 categories. As part of our annual tradition of sharing how AWS powered Prime Day (2016, 2017, 2019, 2020, 2021, 2022, 2023, 2024, and 2025), I want to share the services and ch

Last week, we announced a public preview of Amazon Bedrock Managed Agents powered by OpenAI, built on a customized version of OpenAI’s Agents API engineered to be AWS-native and integrated with AWS resources. You can now build agents optimized for OpenAI models that run entirely inside AWS with the

Today, we’re announcing Google Cloud Modernize, an end-to-end transformation portfolio to help enterprises collapse multi-year roadmaps with the power of AI. Google Cloud Modernize brings together Google Cloud’s proven migration and modernization tools, including Migration Center, Google Cloud VMwar

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Amazon Web Services will invest more than $1 billion over five years in US data-center communities. The funding targets education, job training, energy affordability and water conservation.

Nota do editor: AI21 Labs é um laboratório líder global de IA com um longo histórico de construção de modelos básicos, principalmente a família Jamba, e hoje se concentra em LLMs especializados e tecnologia de otimização de agentes. Ao adotar o Google Cloud AI Hypercomputer, a AI21 reduziu o tempo de espera de trabalhos de alta prioridade de 72

Os agentes empresariais de IA precisam de memória persistente para executar fluxos de trabalho complexos de vários dias e tarefas de longo prazo. Neste blog, examinamos como uma arquitetura de memória de duas camadas usando Memorystore for Valkey para memória buffer de curto prazo e AlloyDB AI para memória persistente de longo prazo pode ajudar a reduzir o gasto de token.

Esteja você lançando microsserviços em resposta a picos repentinos de tráfego, implantando novas versões de software ou ampliando réplicas de aplicativos, o tempo de inicialização do pod é fundamental para manter uma experiência de usuário rápida e responsiva para aplicativos executados no Google Kubernetes Engine (GKE). No entanto, a plataforma e

Os agentes de IA não apenas respondem a consultas: eles podem emitir reembolsos de forma autônoma, gerenciar inventário, executar transferências em várias etapas e orquestrar subagentes, para citar apenas alguns fluxos de trabalho de agente complexos. Isso frequentemente exige que os agentes mantenham o estado interno em um banco de dados operacional enquanto despacham

At Google Cloud, we know that you count on us to maintain the durability and integrity of your data at all times, both at rest and in transit. And now we’re making it easier for developers to take advantage of native data integrity features in Cloud Storage, by enabling end-to-end checksumming by de

Introducing the public preview of AWS Well-Architected Agent, an AI-powered service that analyzes your AWS environment to deliver targeted, contextual recommendations for improving your applications' cost, security, performance, and resilience—with ready-to-implement fixes aligned to your business g

Durante anos, o Swift foi visto principalmente como uma linguagem de UI vinculada a dispositivos clientes da Apple. Com o lançamento do Swift 6 e a verificação rigorosa de simultaneidade, o Swift amadureceu e se tornou um sistema de primeira linha com linguagem de engenharia em nuvem que combina com Go e Rust em segurança de memória enquanto executa com referência previsível.

Esta é a primeira de uma série de duas partes que explora como o Google Cloud está trazendo os valores fundamentais de um sistema de arquivos paralelo de alto desempenho – taxa de transferência de TB/s, latência de sub-ms em alta escala de cliente e suporte POSIX – para um conjunto mais amplo de casos de uso e usuários. Historicamente, devido ao custo e às vantagens especiais

Korean AI cloud startups are raising hundreds of billions of won as GPU scarcity becomes a competitive advantage, while AMD's CEO returns to deepen ties with domestic chip developers. Korean AI cloud startups Mondrian AI and Vessl AI are both raising capital well above original targets, with Vessl e

Learn how to self-host your own private AI assistant on a cheap VPS: pick the right server, install Ollama, download an open-weight model, add the Open WebUI chat interface, and lock everything down with HTTPS. Roughly $5-10 a month, no per-token fees, and your prompts never leave your server.

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AWS free tier vs GCP free tier for beginners comes down to structure: AWS offers a wide twelve-month trial, GCP offers a credit plus always-free services, and the right choice depends on what you want to build.

Learning how to reduce your cloud hosting bill for a small website starts with measurement: find the biggest cost, right-size it, delete what is idle, and add alerts before the next invoice.

VPS vs serverless cost for small apps depends on usage pattern: serverless wins for bursty, idle workloads, while a small VPS wins for steady traffic, long tasks and predictable monthly pricing.