The Challenges
ML Ops Teams need reliable and optimized AI to ensure stable production environments.
ML Engineering Teams require standardized, automated pipelines to efficiently build and deploy new models.
Data Science Teams depend on continuous evaluation to monitor and maintain AI performance over time.
The Solutions
Access multiple compression methods through a single Python package.
Automate optimization with 'AutoML,' recommending the best methods for your setup.
Adjust hyperparameters to fine-tune your optimization settings.
Systematize metrics evaluation with the "Eval" function.
Skip complex implementations—from dev to prod in <4 weeks.
Compatible with any serving platform or inference server.
Compatible with any hardware provider & chipset.
Compatible with Docker for cloud & on-prem deployment.
Compatible with Open Inference Protocol
Compatible with multi-GPU distribution.
What They Say About Us
"Pruna AI expertly solves a major issue for businesses leveraging generative AI: cutting GPU costs without sacrificing quality. The team at Pruna AI is really hands-on, taking the time to understand our needs and providing efficient, working solutions for us and others in the process."
Hervé Nivon, Cofounder & CTO @ Scenario