Aprender
Tudo o que precisa para operar BrainOutput como uma força de trabalho de IA privada — desde escolher o hardware até selecionar modelos e implantar o AI Business OS. Orientação independente e sem invenções.
Execute IA no seu próprio hardware
Entenda a VRAM, os tamanhos dos modelos e que máquina se ajusta à sua carga de trabalho.
Comece pelo guia de GPU →Construa uma força de trabalho de IA
Veja os agentes que pode contratar e o trabalho de negócio que realmente fazem.
Conheça os agentes →Implante o AI Business OS
Local, nuvem privada ou híbrido — escolha a implantação que se ajusta.
Ver opções de implantação →Guias de compra e hardware
Associe máquinas reais — GPUs, mini PCs, estações de trabalho, appliances — ao trabalho de IA que quer executar.
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 raw speed — so you buy the right amount of VRAM for the models you actually need.
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 once. This guide matches devices to how many agents you need and how heavy they are.
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 cost instead of per-seat subscriptions. Here's how to size it.
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 and document agent entirely inside the firm — search case files, link evidence with citations, and keep everything confidential.
Private AI Appliance for Hotels
Hospitality runs on fast, multilingual communication around the clock. A small on-site appliance runs a private concierge and operations agent — handling guest messaging, bookings questions and front-desk tasks — without sending guest data to a third-party cloud.
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 models than a 24GB GPU on a compact, quiet box. This guide covers what it is, the vendor variants, and who should buy it. GB10 device specs are provisional; verify before purchase.
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 first private assistant, customer support or an SMB chatbot — at a fraction of flagship prices.
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 Ada is a 48GB professional card that fits a 70B model on one board. Capacity vs speed and price.
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 most mature CUDA ecosystem. The right pick depends on model size, speed needs and software.
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). The deciding factors are memory capacity, bandwidth and availability. B200 figures are provisional.
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 capable model and run several cooperating agents on one compact, quiet box you control. Specs are provisional — verify before buying.
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 coder plus context comfortably, keeping proprietary source on a box your team controls. Specs are provisional.
GB10 for Hotel Operations
For a larger property or group running several agents (guest messaging, bookings, operations), a GB10-class appliance gives the memory headroom to run them on one on-site box — keeping guest data private. Specs are provisional.
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 keeps it all on a compact box inside the firm, satisfying confidentiality. Specs are provisional.
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 ecosystem, bandwidth and how settled each platform is. GB10 specs are provisional.
Inteligência de modelos
Que modelos open-weight e alojados executar para inferência local, programação e RAG — e que hardware necessitam.
Implante o AI Business OS
Playbooks para operar uma força de trabalho de IA privada em local, na sua própria nuvem ou em híbrido — além de conectores e ROI.
Agentes e casos de uso
Veja os arquétipos de agente e os problemas de negócio concretos que a força de trabalho de IA resolve.
Pronto para pôr a sua força de trabalho de IA a trabalhar?
Escolha os agentes que quer, a implantação que se ajusta e o hardware para o executar. Ajudamos a dimensioná-lo.