01 / CASE STUDY
LOCAL INFERENCE / PRIVATE BY DESIGN
Local AI Workstation
A private Apple Silicon environment for testing useful language models, tool calling, memory usage, quantization, and inference performance.
- MLX
- Ollama
- Open WebUI
- Python
WES / SYSTEMS STUDYFIG. 01
CONCEPT VISUAL · SAMPLE CONTENT
Illustrative concept visual. Replace with verified project media before launch.
The problem
Add the specific workflow this workstation was built to support, and what made existing hosted tools unsuitable.
Constraints
- Confirm hardware and memory configuration
- Add verified model and evaluation details
- Keep private data local where required
Approach
Document the actual model-serving setup, evaluation workflow, and how MLX, Ollama, and Open WebUI are used together.
04 / ARCHITECTURE
How the system fits together.
DIAGRAM PENDING
A project-specific architecture diagram has not been supplied. Add a verified system map before launch.
Key decisions
- Record model versions and quantization settings
- Separate measured behavior from subjective observations
- Do not publish private prompts or data
Result DRAFT
Verified results and model comparisons have not yet been supplied.
Lessons learned
- Add observed trade-offs from real model runs
- Include reproducible setup steps once verified
CONTINUE EXPLORING
Related links
Live workstation link not configured Not configuredSource repository not configured Not configuredSetup notes not yet supplied Not configured
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