This article provides a hands-on guide for deploying OpenAB on Google Compute Engine, enabling AI coding assistants like Gemini CLI to operate directly on chat platforms such as Telegram. It addresses practical deployment challenges, including authentication, HTTPS requirements, and containerization issues.
To deploy AI multi-agent systems across different cloud environments, developers must use asynchronous brokers like Celery and Redis instead of synchronous HTTP. Key steps include externalizing state memory, securing tool execution with MCP, bypassing firewalls via Pilot Protocol, and tracing workflows with OpenTelemetry.
To deploy AI multi-agent systems across various cloud environments, developers must switch from synchronous HTTP to asynchronous brokers, externalize state memory, secure tool execution with MCP, bypass NAT firewalls using Pilot Protocol, and trace workflows with OpenTelemetry. This approach addresses challenges like variable LLM latency and distributed network assumptions.
Agent Substrate is introduced as an AI isolation layer on Kubernetes, providing a safe and secure way to run agentic workflows through sandboxing. The article explains what Substrate is and guides on its deployment within GKE.
This article details how to deploy Llama 3.2 400B, a cost-effective alternative to Claude 3.5 Sonnet, using vLLM and tensor parallelism on a DigitalOcean GPU Droplet. It demonstrates a 99.3% cost reduction for enterprise workloads, achieving competitive inference speeds.
O artigo descreve a experiência do autor ao implantar um agente de IA no AWS AgentCore, detalhando as complexidades e desafios de configurar múltiplos recursos AWS. Ele superou essas dificuldades ao usar sua própria plataforma, conseguindo a implantação em apenas 4 minutos.
This tutorial demonstrates how to build, test, deploy, and monitor a FastAPI Cloud application. It guides users through creating a simple live gold and silver dashboard.
