Author: AI Generated Robotic Content

Today, we are excited to introduce a new feature for SageMaker Studio: SOCI (Seekable Open Container Initiative) indexing. SOCI supports lazy loading of container images, where only the necessary parts of an image are downloaded initially rather than the entire container. SageMaker Studio serves as a web Integrated Development Environment (IDE) for end-to-end machine learning (ML) development, …

Read more “Introducing SOCI indexing for Amazon SageMaker Studio: Faster container startup times for AI/ML workloads”

Welcome to the second Cloud CISO Perspectives for December 2025. Today, Google Cloud’s Nick Godfrey, senior director, and Anton Chuvakin, security advisor, look back at the year that was. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re reading this on the website and …

Read more “Cloud CISO Perspectives: 2025 in review: Cloud security basics and evolving AI”

This post is co-written with Ranjit Rajan, Abdullahi Olaoye, and Abhishek Sawarkar from NVIDIA. AI’s next frontier isn’t merely smarter chat-based assistants, it’s autonomous agents that reason, plan, and execute across entire systems. But to accomplish this, enterprise developers need to move from prototypes to production-ready AI agents that scale securely. This challenge grows as …

Read more “Build and deploy scalable AI agents with NVIDIA NeMo, Amazon Bedrock AgentCore, and Strands Agents”

Building custom foundation models requires coordinating multiple assets across the development lifecycle such as data assets, compute infrastructure, model architecture and frameworks, lineage, and production deployments. Data scientists create and refine training datasets, develop custom evaluators to assess model quality and safety, and iterate through fine-tuning configurations to optimize performance. As these workflows scale across …

Read more “Tracking and managing assets used in AI development with Amazon SageMaker AI “