FastDeploy download for Windows

This is the Windows app named FastDeploy whose latest release can be downloaded as v2.5.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

 
 

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- 3. Upload this application in such filemanager.

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- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

SCREENSHOTS:


FastDeploy


DESCRIPTION:

FastDeploy is an open-source inference and deployment toolkit designed to simplify the process of running and serving deep learning models across a wide range of hardware platforms. Developed within the PaddlePaddle ecosystem, the toolkit focuses on providing high-performance deployment capabilities for modern AI models including large language models and vision-language systems. The platform enables developers to deploy trained models quickly using optimized inference pipelines that support GPUs, specialized AI accelerators, and other hardware architectures. FastDeploy includes advanced acceleration technologies such as speculative decoding, multi-token prediction, and efficient KV cache management to improve throughput and latency during inference. It also offers compatibility with OpenAI-style APIs and vLLM-like interfaces, allowing developers to integrate deployed models easily into existing applications and services.



Features

  • High-performance inference toolkit for large language and vision-language models
  • Support for multiple hardware platforms including GPUs and AI accelerators
  • Advanced inference optimizations such as speculative decoding and KV cache management
  • OpenAI-compatible API services for integrating deployed models into applications
  • Support for model quantization formats including FP8 and low-bit precision
  • Distributed deployment capabilities for scalable production environments


Programming Language

Python


Categories

Large Language Models (LLM)

This is an application that can also be fetched from https://sourceforge.net/projects/fastdeploy.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.



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