DevOps & Cloud Blog

Expert insights on cloud infrastructure, DevOps practices, and digital transformation.

Model Quantization: Run Bigger Models on Less VRAM

Model quantization reduces LLM VRAM usage by converting weights to lower precision, enabling larger models to run on consumer GPUs...

Learn how to run LLMs locally with Ollama and vLLM for secure, cost-effective inference on your own GPU hardware in 2026.

GPUs for AI: What Developers Need to Know covers VRAM, bandwidth, and cloud vs self-hosted trade-offs to select the right hardware...

Implement guardrails for autonomous AI agents to enforce security, compliance, and operational safety in production infrastructure...

Understand agent memory short-term vs long-term architectures to build stateful AI systems that retain context, reduce costs, and...

Model Context Protocol (MCP) explained for engineers: a practical guide to connecting LLMs with local tools, databases, and APIs s...

Compare LangChain vs LlamaIndex vs CrewAI to select the right framework for RAG, agents, or orchestration in production AI systems...

Learn proven multi-agent systems patterns and pitfalls to build reliable AI workflows that scale safely in production environments...

Learn how to build your first AI agent with tool use, including architecture patterns, secure function calling, and production-rea...

What Are AI Agents? A practical introduction covering architecture, tool use, memory, and how to deploy autonomous systems safely...

AI-Assisted Debugging: A Practical Workflow for engineers to diagnose incidents faster using LLMs, logs, and metrics without compr...

Learn the practical workflow for using AI to understand a legacy codebase safely, from indexing strategies to secure RAG pipelines...