MLOps
InfrastructureRunning GPUStack with NVIDIA MIG: A Deep Dive into Multi-Instance GPU Orchestration
Multi-Instance GPU (MIG) technology promises to maximize GPU utilization by partitioning a single GPU into isolated instances. But getting MIG to work with container orchestration tools like GPUStack means working through a maze of CDI configuration, device enumeration, and runtime patches. This technical deep-dive shares our battle-tested solutions.
Frederico VicenteFeb 202615 min read
WebinarSmall AI Models in Production
Discover how small, highly capable AI models are enabling faster, more cost-effective, and more controllable AI systems in real production environments. Learn why efficient models matter and when lighter architectures outperform larger ones.
Frederico VicenteJan 202660 min
Artificial IntelligenceArchitecting AI Agent Systems: A Strategic Framework for Production Deployment
Choosing the right LLM framework is a strategic business decision that determines scalability, cost control, and system resilience. Learn how to handle the trade-offs between speed, flexibility, and governance when building production-grade AI automation.
Frederico VicenteNov 202512 min read
Software EngineeringRethinking AI Coding Agents: From Prompt Completion to Structured Engineering
The bottleneck in AI-assisted development isn't model capability - it's workflow design. Learn how to transform coding agents from autocompleters into systematic engineering partners through structured planning, context engineering, and disciplined process execution.
Frederico VicenteNov 202514 min read
InfrastructureEnabling Private LLM Execution: Trusted Execution Environments and Encrypted Containers
Running LLM inference and fine-tuning on private datasets requires bridging theoretical cryptography with practical high-throughput systems. Learn how TEEs and encrypted containers create compliance-ready, hardware-isolated execution environments for confidential AI workloads.
Frederico VicenteNov 202516 min read
Artificial IntelligenceModel Context Protocol: Standardizing Context and Tool Integration for Agentic AI
As LLMs evolve from stateless prompt responders to stateful, tool-using agents, fragile hand-wired orchestration is breaking down. MCP provides a vendor-neutral protocol for connecting models with structured context, tools, and external systems at runtime.
Frederico VicenteNov 202515 min read
Generative AIRAG vs Fine-Tuning: Why the Best AI Systems Combine Both
Should you choose Retrieval-Augmented Generation (RAG) or fine-tuning to optimize your LLM? The answer is not either-or. Learn how combining RAG with fine-tuning delivers accuracy, adaptability, and cost efficiency in real-world AI systems.
Frederico VicenteSep 20257 min read
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