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Optimize Your AI Models with Microsoft Olive

Effortless model compression and deployment for CPUs, GPUs, and NPUs.

shipped Nov 20, 2025deploypaid
Domain rating97Monthly visits41.8M/mo
DeployHardware & AcceleratorsCPU-only Optimizers
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Why it matters

1Unlock significant cost savings with advanced mixed-precision and quantization techniques for large language models.
2Seamlessly integrate with a wide range of hardware and frameworks, ensuring optimal performance across diverse deployment environments.
3Experience a user-friendly interface that simplifies model optimization, making it accessible for both novices and experts.

Specs

API Available

Yes, public API

overview

What is Microsoft Olive?

Microsoft Olive is a powerful model compression and compilation pipeline designed to enhance the efficiency of AI models. It targets a variety of hardware platforms, including CPUs, GPUs, and NPUs, helping developers deploy models with ease.

  • Supports ONNX models for broader compatibility.
  • Optimizes for both cost and performance.
  • Streamlines the deployment process.

features

Key Features of Microsoft Olive

Olive offers a plethora of features aimed at improving model performance while simplifying the optimization process. With new updates in mixed-precision and quantization, users can expect enhanced efficiency and reduced operational costs.

  • Selective mixed precision and blockwise RTN quantization.
  • Native GPTQ implementation for large language models.
  • User-friendly CLI commands for optimization.

use cases

Use Cases for Microsoft Olive

Olive is invaluable for AI model developers and machine learning engineers seeking to enhance model deployment across various hardware platforms. Whether you're working in the cloud or on edge devices, Olive simplifies the optimization lifecycle.

  • Optimize and deploy AI models efficiently.
  • Design models applicable to diverse hardware targets.
  • Facilitate collaboration with frameworks like Hugging Face.

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