optimate
nebuly-ai/optimate
A legacy collection of libraries for optimizing AI model performance
Overview
OptiMate is a set of Python-based tools designed to optimize the performance, cost efficiency, and hardware utilization of AI models, particularly in LLM contexts. Currently not maintained.
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Install
pip install optimateREADME
OptiMate
[Legacy]
This repository is now in a legacy phase and is no longer actively maintained. Although the source code is still available in the Git history, there will be no additional updates or official support.
[About Nebuly]
Our team is fully committed on creating the best user-experience platform for LLMs so that companies can understand user behavior at scale when interacting with their LLM-based products.
- To learn more on how to get started, visit our official documentation
- If you need enterprise support, please contact us here
[About optimate]
We have open-sourced a couple of internal projects to the community, but we are not currently maintaining them. Optimate is a collection of libraries designed to help you optimize your AI models. It is an open-source project developed by Nebuly AI but is not actively maintained.
The tools available to assist you in your optimization are:
✅ Speedster: reduce inference costs by leveraging SOTA optimization techniques that best couple your AI models with the underlying hardware (GPUs and CPUs)
✅ Nos: reduce infrastructure costs by leveraging real-time dynamic partitioning and elastic quotas to maximize the utilization of your Kubernetes GPU cluster
✅ ChatLLaMA: reduce hardware and data costs by leveraging fine-tuning optimization techniques and RLHF alignment