Self-Hosting & Compliance
Running models on your own infrastructure — TCO, Kubernetes, regulated industries, and data-residency.
On-Premises LLM Deployment for HIPAA & GDPR Compliance
For healthcare, fintech, and European companies, the LLM compliance question isn't primarily about cost — it's about what data can legally leave your infrastructure, and under what conditions.
Kubernetes LLM Inference with llm-d: Deploy & Autoscale
How to deploy, scale, and manage open-source LLM inference workloads on Kubernetes using llm-d — the operator-based framework built for production GPU clusters.
LLM Inference Optimization: 5 Cost Patterns to Fix
Enterprise LLM costs don't grow linearly with usage — five organizational and architectural patterns compound on each other to multiply spend. Here's what they are and how to fix them.
Run LLMs Locally vs OpenAI API: Real Cost Comparison
Every team scaling an LLM product eventually runs this comparison. Most get it wrong because they only count compute. Here's the full cost stack — and the exact token volume where the math flips.
vLLM vs Ollama vs TGI: LLM Serving Framework Comparison
A framework decision that's easy to get wrong — they look similar on the surface but are built for fundamentally different use cases. Plus a step-by-step guide to running Llama 4 Scout on a single GPU.