Local LLM Hardware Guide 2026 →
The definitive 2026 hardware guide for running local LLMs. GPU, RAM, and storage requirements for 7B through 70B+ models on consumer rigs and enterprise hardware. Real benchmarks, not spec-sheet guesses.
Reference guides
Decision-focused AI engineering guides.
Practical reference material we've written for clients, partners, and ourselves. Each guide is decision-focused — what to pick, when to pick it, what we've actually seen break in production. Written for engineers and decision-makers, not vendor blog readers.
RAG vs Fine-Tuning →
A practical, decision-focused guide. When RAG is the right answer, when fine-tuning is, when neither is. What we've shipped, what we've seen fail, and how to figure out which one fits your use case before you've spent $50K on the wrong path.
Ollama vs vLLM →
Practical comparison of Ollama and vLLM for local LLM deployment. Latency, throughput, operational simplicity, multi-GPU support, OpenAI-compatible API surface. Which one to pick for which workload.
These guides exist because we hit each decision in client work and wrote down what we learned. If you want a working session on your own deployment decisions, the free AI Readiness Assessment is the right next step.