Open-Source LLM Models: Size, Capabilities, and GPU Matching
A practical model-selection framework covering license, capability, memory, context, serving support, and evaluation.
Hostnot GPU engineering
GPU, AI, and infrastructure guides
Practical notes for choosing hardware, connecting safely, and building dependable AI workloads. Every guide reflects what the platform actually does today.
Showing 1–3 of 3 published articles
Mistral 7B Local Inference: GPU Requirements
Plan a Mistral 7B deployment by checkpoint, precision, context, KV cache, runtime support, and test workload.
LLaMA 2 Local Inference (Historical): Memory and Runtime Planning
A historical, reproducible planning guide for Llama 2 inference, with explicit license, memory, context, and runtime caveats.