
Amazon Strands Agents SDK: A technical deep dive into agent architectures and observability
Explore the Amazon Strands Agents SDK, an open-source framework offering model-driven AI agent architectures, multi-agent collaboration, robust AWS integration, and built-in observability for scalable and secure production deployments.

AI agents unifying structured and unstructured data: Transforming support analytics and beyond with Amazon Q Plugins
Leveraging custom plugins with Amazon Q Business to unify structured and unstructured data for enhanced support analytics using Retrieval-Augmented Generation and precise querying techniques.

Structured outputs with Amazon Nova: A guide for builders
Learn how to leverage Amazon Nova foundation models and constrained decoding to generate reliable structured outputs for AI applications using tool configurations and schema definitions.

Introducing AWS Batch Support for Amazon SageMaker Training jobs
AWS Batch integration with Amazon SageMaker Training jobs enables intelligent job scheduling, automated resource management, and efficient utilization of costly GPU instances to optimize machine learning training workflows.

Modular: SF Compute and Modular Partner to Revolutionize AI Inference Economics
Modular and SF Compute have launched a Large Scale Inference Batch API that combines a real-time GPU spot market with a high-performance inference stack to dramatically reduce AI inference costs and optimize resource utilization across heterogeneous hardware platforms.

Announcing Databricks Vancouver Development Center
Databricks announces the launch of its Vancouver Development Center to leverage local data and AI talent for advancing strategic innovations.

Three lessons for creating a sustainable AI advantage
Insights on building and maintaining a long-term competitive edge in AI technology.

New algorithms enable efficient machine learning with symmetric data
MIT researchers developed a provably efficient algorithm that leverages algebra and geometry to enable machine learning models to effectively and computationally efficiently handle symmetric data, improving accuracy and reducing training data requirements.

How AI Test Automation Cut Developer Productivity Bottlenecks by 30% at Scale
Leveraging AI-powered test failure triage and semantic search techniques, Salesforce reduced developer bottlenecks by 30%, accelerating test failure resolution with trusted, context-driven automation at scale.

Ride-share-like planning with Agentic AI: Pluto7 + Google Agentspace transform supply Chains
Pluto7 and Google Agentspace revolutionize supply chain planning by leveraging Agentic AI for dynamic, real-time inventory management and autonomous workflows.

Gemini CLI: Custom slash commands
Gemini CLI introduces customizable slash commands using .toml files and Model Context Protocol prompts to enhance workflow efficiency and command organization.

Top 25 blogs of 2025… so far
A mid-year roundup highlighting the top 25 Google Cloud blog posts of 2025, covering advancements in AI, cloud infrastructure, cybersecurity threats, generative AI tools, certifications, and innovative customer use cases.