Run GenAI locally – an eeNews product spotlight
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By
Wisse Hettinga
Running GenAI models, particularly large language models (LLMs), on devices like laptops and smartphones poses significant challenges
These models demand considerable memory and computational power, traditionally available only in cloud-based environments. Edgen addresses these challenges by providing a local-API server that simplifies edge-based GenAI deployment. Leveraging Edgen is similar to using a OpenAI’s API, but with the added benefits of on-device processing.
Advantages of On-device Inference
On-device inference brings several advantages when compared to cloud inference:
- Free: It runs locally on hardware the user already owns.
- Optimized: Edgen uses the latest techniques and runtimes to optimize the inference of GenAI models.
- Scalable: More and more users? No need to increment cloud computing infrastructure. Just let your users use their own hardware.
- No internet required: With on-device inference users don’t need an internet connection.
- Data Private: On-device inference means users’ data never leave their devices.
Discover Edgen: Open Source with a Permissive License
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