Vercel Container Registry now supports compressed image layers up to 2 GB, an increase from the previous 500 MB limit, allowing larger layers to be pushed without splitting. The total image size limit remains 15 GB.
Related articles
See all- Internet Shutdown
What took the Internet offline in Q3 2026
Cloudflare reviews global Internet disruptions observed by Cloudflare Radar in Q3 2026, examining the effects of power failures, natural disasters, and government shutdowns on connectivity and traffic.
- Python
Building Serverless Python Apps Using AWS Chalice
AWS Chalice is a Python microframework that allows developers to quickly create and deploy serverless applications using AWS Lambda. It simplifies the process for Python developers familiar with Flask, enabling them to build and deploy serverless apps with ease.
- Company
OpenAI models are coming to Google Cloud
OpenAI and Google Cloud are collaborating to bring frontier models and Codex workflows to Gemini’s Model Garden, accessible via Google Cloud Marketplace, enhancing developers' access to advanced AI tools.
How NVIDIA OpenShell Reference Architecture Secures and Governs AI Agent Workloads at Scale
NVIDIA's OpenShell Reference Architecture is designed to secure and govern AI agent workloads at scale. These autonomous agents can perform complex tasks, access files, tools, the internet, and even spawn other agents, which increases risks such as downloading code and requesting additional privileges. The architecture helps manage these risks.
- Advanced (300)
Build a semantic layer for agentic AI on AWS with Denodo and Amazon Bedrock AgentCore
AWS, in collaboration with Denodo and Amazon Bedrock AgentCore, has developed a governed semantic layer for agentic AI. This layer federates data from Amazon Aurora, Amazon Redshift, and an on-premises PostgreSQL database into a unified customer 360 view, enabling queries via VQL with identity propagation and access control.
- Amazon Bedrock
How Octave built a secure multi-tenant AI foundation on Amazon Bedrock
Octave has built a secure, multi-tenant AI foundation on Amazon Bedrock, utilizing Cohere Embed v4 for embeddings and Amazon Bedrock AgentCore for isolated agent execution. This setup supports a Complaint Triage Assistant that searches 2 billion regulated documents without crossing tenant boundaries.