---
title: "optimate"
type: "tool"
slug: "nebuly-ai-optimate"
canonical_url: "https://www.graphcanon.com/tools/nebuly-ai-optimate"
github_url: "https://github.com/nebuly-ai/optimate"
homepage_url: "https://www.nebuly.com/"
stars: 8332
forks: 619
primary_language: "Python"
license: "Apache-2.0"
categories: ["inference-serving", "model-training", "llm-frameworks"]
tags: ["llm", "ai", "artificial-intelligence", "large-language-models", "deeplearning", "analytics"]
updated_at: "2026-07-07T19:48:46.571859+00:00"
---

# optimate

> A legacy collection of libraries for optimizing AI model performance

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.

## Facts

- Repository: https://github.com/nebuly-ai/optimate
- Homepage: https://www.nebuly.com/
- Stars: 8,332 · Forks: 619 · Open issues: 110 · Watchers: 89
- Primary language: Python
- License: Apache-2.0
- Last pushed: 2024-07-22T02:07:03+00:00

## Categories

- [Inference & Serving](/categories/inference-serving.md)
- [Model Training](/categories/model-training.md)
- [LLM Frameworks](/categories/llm-frameworks.md)

## Tags

llm, ai, artificial-intelligence, large-language-models, deeplearning, analytics

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## README (excerpt)

```text
# 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This repository is now in a legacy phase and is no longer actively maintained.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](https://docs.nebuly.com/welcome/overview)
- If you need enterprise support, please contact us [here](https://www.nebuly.com/nebuly-book-a-demo)

**[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](https://github.com/nebuly-ai/optimate/tree/main/optimization/speedster): reduce inference costs by leveraging SOTA optimization techniques that best couple your AI models with the underlying hardware (GPUs and CPUs)

✅ [Nos](https://github.com/nebuly-ai/nos): reduce infrastructure costs by leveraging real-time dynamic partitioning and elastic quotas to maximize the utilization of your Kubernetes GPU cluster

✅ [ChatLLaMA](https://github.com/nebuly-ai/optimate/tree/main/optimization/chatllama): reduce hardware and data costs by leveraging fine-tuning optimization techniques and RLHF alignment
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/nebuly-ai-optimate`](/api/graphcanon/tools/nebuly-ai-optimate)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_