Hardware
What can my computer run?
Answer six questions about the machine you already own. The result tells you which profile it falls into, what class of model that supports, where the evidence for it stands, and what it will not do.
Compatibility is decided by the operating system, the architecture, the storage, the acceleration and the model profile together, not by memory capacity alone.
What each class of machine is for.
Choose a profile. Every figure is worked out on this page from the operating system reserve, and nothing here is a speed: a speed is only published where it was measured.
Essential
Not measured yetA compatible system with 16 GB of memory and adequate SSD storage.
- Memory
- 16 GB
- Memory type
- Unified memory, System memory
- Usable after the operating system
- A 16 GB machine keeps 5 GB for the operating system, leaving about 11 GB
- Model class
- Efficient local assistants
- Workloads
- Local chat, an efficient model profile, light coding and a limited document collection.
- Limitations
- Frontier-class models do not run here, and we will not suggest otherwise. Sixteen gigabytes is an entry point, not a guarantee: the operating system, architecture, storage and acceleration all take part in the decision.
Personal
Not measured yet24 to 48 GB of unified or system memory, depending on the platform.
- Memory
- 24–48 GB
- Memory type
- Unified memory, System memory
- Usable after the operating system
- A 32 GB machine keeps 6 GB for the operating system, leaving about 26 GB
- Model class
- Efficient and mid-size open models
- Workloads
- A full private assistant, cited documents and more capable model profiles.
- Limitations
- Large mixture-of-experts profiles remain out of reach at this tier.
Professional
Measured on one machine64 to 128 GB of memory, or a discrete GPU configuration with enough system RAM and fast NVMe beside it.
- Memory
- 64–128 GB
- Memory type
- Unified memory, System memory, GPU memory
- Usable after the operating system
- A 128 GB machine keeps 8 GB for the operating system, leaving about 120 GB
- Model class
- Professional open models
- Workloads
- Larger models, extensive document collections, the local API and professional automation.
- Limitations
- Evidence exists for one machine of this class, with 130.7 GB of unified memory. A machine with less memory is not covered by it, and the largest profiles need the machine to themselves.
Frontier Workstation
Not measured yet192 to 512 GB of unified memory, or an equivalent high-memory workstation.
- Memory
- 192–512 GB
- Memory type
- Unified memory, System memory
- Usable after the operating system
- A 512 GB machine keeps 12 GB for the operating system, leaving about 500 GB
- Model class
- Frontier-class open models
- Workloads
- Frontier-class open-weight models and advanced local workloads.
- Limitations
- Model availability at this tier is decided by validation, not by memory alone. No machine of this class has been measured, so no model is claimed for it.
Private AI Rack
PlannedMultiple trusted computers connected inside a private network.
- Memory
- Several machines
- Memory type
- Across private nodes
- Usable after the operating system
- Per machine. Each node keeps its own memory.
- Model class
- Very large profiles across machines
- Workloads
- Designed for distributed execution, team access and very large model profiles.
- Limitations
- Multi-node execution is designed and not implemented. Each machine keeps its own memory. Nodes would provide aggregate resources through explicit distributed execution; they do not form one shared memory pool.