7 min read
What is language model distillation (and why it pays off)
LLM distillation transfers a specific capability into a smaller model you can run locally, more efficiently.
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Resources
Understand local AI without replicating its infrastructure.
Guides for evaluating specialized language models, costs, and hardware from the perspective of the people who have to run them.
8 min read
What a local model really costs compared to APIs over time
A practical comparison of LLM APIs and local models: variable costs, upfront investment, hardware, volume, and how to decide.
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Running your model locally: Mac, RTX, and DGX Spark compared
A practical guide to choosing hardware for a local language model: Apple Silicon, NVIDIA RTX, DGX Spark, and private servers.
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The EU AI Act and on-premise models: what changes for businesses
What the European AI Act requires, why on-premise deployment simplifies data compliance, and how to prepare: a guide for CIOs, DPOs, and IT decision-makers.
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