Deploying Deepseek-R1-0528, a 671B parameters model, typically necessitates at least 8x H200 GPUs for a single API request. Such extensive resources are not accessible to everyone.To make Deepseek R1 more accessible to developers, we're excited to announce that DeepSeek R1 is now available as a fully managed API on Vertex AI in Preview.
Mirror mirror on the wall, What do I do with my API sprawl, Where can I see them all, How to make sure they listen to my call, And to ensure their compliance doesn’t fall. API hub is the one to rule them all!
We are thrilled to announce that Google is the first hyperscaler to provide selected customers with access to Apache Airflow 3 on our fully managed Cloud Composer 3 service. Discover how powerful new features like DAG Versioning, a modern React-based UI, and scheduler-managed backfills can help you innovate faster and more reliably.
You can manage the order of automatic cluster upgrades across Google Kubernetes Engine (GKE) clusters in multiple environments using rollout sequencing. For example, you can qualify a new version in pre-production clusters before upgrading production clusters.
Unlock the power of AI agents by connecting them to real-world tools and data. This guide explores the Model Context Protocol (MCP) for seamless integration. Follow the code-centric tutorial to build a Financial Advisory Agent with Google's ADK. Learn to equip your agents with external capabilities for complex, real-world tasks.
Feeling "protocol overload" in the AI agent space? You're not alone. My latest article untangles A2A, MCP, and ADK, revealing their unique purposes and how they synergize to create powerful, interconnected agent systems. Discover the roadmap for building next-gen intelligent agents.
From powering intuitive search experiences to transforming customer service interactions, GenAI’s potential is immense. But as organizations integrate these powerful capabilities into their core operations, a critical question emerges: How do we ensure these systems consistently deliver high-quality, reliable, and responsible outcomes, truly realizing their transformative promise?
As businesses scale, their data storage needs evolve—often demanding more flexibility, lower latency, and better cost-efficiency. While Microsoft SQL Server has long served as a reliable relational database for transactional workloads, modern data demands increasingly point toward distributed NoSQL solutions.
This blog post explores the complexities of cross-environment dependencies in Cloud Composer and introduces a solution to streamline their management with CloudComposerDAGRunSensor.
