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AI infrastructure

Choose the model. Understand the machine.

Choose local or online models and see the real state of the Mac. T-Chat shows what is ready, what uses resources and which limits matter.

RuntimesMultiple
StatusReal
SSDStreaming

A local control layer

Multiple engines, one experience

Ollama, Hugging Face models, ComfyUI and specialised runtimes appear in the interface when they are genuinely ready.

Models

Open weights without lock-in

  • Ollama models available in chat
  • Hugging Face repositories running through MLX or llama.cpp
  • Qwen and Gemma parameters adjustable during chat
  • Context and tokens measured against the real limit

Companion

The machine remains understandable

  • Status for Docker, database, Redis, Ollama and ComfyUI
  • Start, stop and restart services
  • Model observatory using real memory and request data
  • T-Chat Nearby with QR pairing and revocable private-network access

Expansion

Beyond available memory

  • External SSD configuration for DwarfStar
  • SSD Streaming for experts in supported MoE models
  • Local engines for images and video
  • Clear separation between installation and active model

Open optimisation

T-Chat is built for open-weight models

The experience is optimised for the Qwen family and Google Gemma without locking the platform to one provider.

Live parameters

Temperature, top-p, top-k, min-p, seed and context can be adjusted for models that expose them.

Real observability

Charts and status come from observed processes, memory and requests rather than decorative animation.

External models and TimesFM 3

Ready local models are registered through Companion. TimesFM 3 is activated separately as a forecasting tool for personalities, chats, meetings, missions and Automata.

SSD Streaming

Supported MoE models keep experts on fast storage and load the required ones into memory. It is slower than RAM and is not universal swap.

Keep exploring

Capabilities designed to work together

Control centreSettings and governance

Models, experience, data and automation organised in a clear control centre.

Business growthHardware and scaling

Four clear levels, from a personal Mac to a dedicated AI node, with a practical SSD Streaming guide.

Operational sovereigntyPrivacy, security and portability

Data, permissions and configurations under understandable control.

Build your AI perimeter

Use the right models without losing infrastructure visibility.

Let's assess the machine, runtimes and requirements for a sustainable local configuration.

Request an assessment ↗