Buyer’s Guides
Practical, opinionated guides to choosing hardware and models for private local AI — and turning them into a working AI Business OS.
Best GPU for Local LLMs
The single biggest factor in which models you can run locally is GPU memory. This guide ranks GPUs by what they unlock — not just …
Read guide →Best Device for AI Agents
Running AI agents is more demanding than a single chatbot: agents need bigger models, longer context and often several running at …
Read guide →Local AI Server for Small Business
A small business can run its own private AI on a single quiet box — keeping customer and company data in-house, with predictable c…
Read guide →Private AI Appliance for Law Firms
Legal work is privileged by definition, which makes public AI APIs a poor fit. A private appliance runs a DocMatch-style evidence …
Read guide →Private AI Appliance for Hotels
Hospitality runs on fast, multilingual communication around the clock. A small on-site appliance runs a private concierge and oper…
Read guide →GB10 AI Appliance Buyer's Guide
GB10 (the DGX Spark class) is a Grace-Blackwell desktop AI platform with a large pool of unified memory — designed to hold bigger …
Read guide →RTX 3060 12GB Local LLM Guide
The RTX 3060 12GB is the budget door-opener for local AI. Its 12GB of VRAM comfortably runs 7–8B models at 4-bit — enough for a fi…
Read guide →RTX 4090 vs RTX 6000 Ada for AI
Both are excellent for local AI, but they solve different problems: the RTX 4090 is the fast 24GB consumer flagship; the RTX 6000 …
Read guide →Mac Studio vs NVIDIA GPU for LLMs
A Mac Studio's large unified memory can hold very big models quietly on a desktop; an NVIDIA GPU offers higher bandwidth and the m…
Read guide →H100 vs H200 vs B200 for AI Hosting
For hosting large models at scale — on-prem or in your own cloud — the choice is between Hopper (H100/H200) and Blackwell (B200). …
Read guide →GB10 for AI Business OS
A GB10-class appliance's large unified memory makes it a natural base for a private AI Business OS: enough capacity to hold a capa…
Read guide →GB10 for Coding Agents
Coding agents reward larger models and headroom for repo-scale context. A GB10-class appliance's unified memory can hold a strong …
Read guide →GB10 for Hotel Operations
For a larger property or group running several agents (guest messaging, bookings, operations), a GB10-class appliance gives the me…
Read guide →GB10 for Legal DocMatch / RAG
Legal RAG over large matters benefits from memory headroom — a capable model plus a big retrieval index. A GB10-class appliance ke…
Read guide →GB10 vs Mac Studio for Local AI
Both put a large pool of unified memory on a quiet desktop, so both can hold big models a 24GB GPU can't. The differences are ecos…
Read guide →Turn your machine into a private AI Business OS
Run your own AI agents on hardware you control — private by design, no per-seat data leaving your premises. BrainOutput helps you pick the right machine and turn it into a working AI Business OS.
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