T-Chat for business
You do not need the most powerful machine on day one. The right setup depends on the models, the amount of content, the number of simultaneous tasks and the people who will use T-Chat.
Hardware roadmap
We are developing T-Chat versions for NVIDIA and AMD hardware, extending choice beyond Apple Silicon. They are not available yet: supported operating systems, cards, requirements and release dates will be announced after validation.
The current edition remains designed for Apple Silicon Macs. Memory and model choices should be sized for the actual workload.
Tell us about your hardwareFour levels
Unified memory is the most important number for local models. The chip affects speed; memory largely determines which models and context sizes can remain active.
For chat, research, documents, projects and light automation. Smaller local models work well; enabled online models can handle heavier tasks.
Current examples: Mac mini with M6, MacBook Pro with M5, or an existing Apple silicon Mac.
For heavier daily use, larger documents, more capable local models and more work running at the same time.
Current examples: Mac mini with M5 Pro up to 64 GB; MacBook Pro with M5 Pro.
For large models, extended contexts and frequent team use. This tier also gives SSD Streaming more room to work.
Current examples: Mac Studio with M5 Max up to 128 GB; MacBook Pro with M5 Max up to 128 GB.
For very large models, sustained workloads and a central machine dedicated to important business processes.
Current example: Mac Studio with M5 Ultra, configurable with 256 GB or 512 GB.
Grow without disruption
Increase capacity without rebuilding everything. Keep processes, personalities, presets and archives; move only the heavier workloads to a more suitable machine.
T-Chat on the Mac of the first use-case owner. Clear goals, limited data and results that are easy to measure.
Shared configurations, defined roles and smartphone access on the same private network with T-Chat Nearby.
A higher-memory machine for shared local models, documents and automation. Lighter tasks stay on existing workstations.
Dedicated nodes for different needs, common rules and online services used only where they create real value.
SSD Streaming
For selected supported MoE models, T-Chat can keep experts on fast SSD storage and load the required ones into memory. This makes some models usable even when they do not fit entirely in RAM, at a lower speed than full in-memory execution.
SSD Streaming is not universal swap. It works with compatible MoE architectures and still needs memory for the base model, context, cache and active work.
References checked on 29 August 2026: Mac mini, MacBook Pro, Mac Studio and DwarfStar/DS4. Performance varies by model, quantisation, context, cache and simultaneous work. Always validate a configuration against the real use case before purchasing.
Three simple rules
The most powerful machine is not always the best choice. The balance depends on sensitive data, required speed and the number of people involved.
01
02
03
Frequently asked questions
No. An Apple silicon Mac with 16 or 24 GB can be enough for small models, documents and online services. Mac Studio becomes useful as model size, context, sustained load and user count grow.
Not always. More memory mainly lets you load larger models and keep more context. Speed also depends on the chip, model, quantisation and type of work.
No. It extends what selected MoE models can do, but it remains slower than unified memory and still requires a substantial amount of RAM.
Yes. T-Chat Nearby creates temporary access for devices on the same private network. Companion starts the connection, pairing uses a QR code and access can be revoked.
Yes. A hybrid setup can keep sensitive workflows local and use selected online services for speed, specialist capabilities or temporary workload peaks.
A configuration built around you
Start with the computers you already have and the processes that matter. Then build a setup that can grow without waste.