# AI Frameworks Open Edge Platform provides its own components but also enables and integrates other industry-standard solutions. Here are some frameworks you may find crucial for your AI systems. ## OpenVINO toolkit ::::{container} component_header_row
GitHub Documentation
> OpenVINO toolkit is an extensive collection of software for developing deep learning > applications. It enables you to easily deploy entire industry-grade systems that are highly > scalable and optimized for Intel hardware. > > Based on OpenVINO inference engine and complimented by tools such as Model Converter and > Neural Network Compression Framework, it is a complete software development solution for > both conventional and generative AI use cases. :::: ## PyTorch ::::{container} component_header_row
GitHub Documentation
> PyTorch is an optimized tensor library for deep learning using GPUs and CPUs. > This industry-standard deep learning framework is fit for both research and production > deployment thanks to its flexibility, modular nature, wide integration capabilities, > stability, and a rich open source ecosystem. > > If you need to build, train, or just tweak your custom model, PyTorch is a good choice. :::: ## OpenVINO Model Server ::::{container} component_header_row
GitHub Documentation
> OpenVINO Model Server enables you to use inference engine capabilities remotely, over > standard network protocols. It can be set up to host models and run them based on requests > coming from multiple client systems. > > Based on OpenVINO inference engine and part of the OpenVINO ecosystem, it offers the same > level of scalability and performance, just delivered remotely instead of deployment on edge > devices. :::: ## vLLM ::::{container} component_header_row
GitHub Documentation
> vLLM is a highly performant and efficient inference and serving engine for Large Language > Models.\ > It supports Intel GPU for data center, AI, as well as workstation purposes. > Based on Python, it offers tensor-parallel inference/serving, with pipeline-parallel > serving as an early adoption feature. :::: ## SGLang ::::{container} component_header_row
GitHub Documentation
> SGLang is a high-performance serving framework for large language and multimodal models. > It is optimized for Intel® Arc™ Pro B-Series Graphics and Intel® Arc™ B-Series Graphics. :::: ## OneAPI ::::{container} component_header_row
Documentation
> An API devised by Intel to offer direct-to-metal interfaces to offload accelerator devices. :::: ## Llama ::::{container} component_header_row
GitHub Documentation
> Llama is an engine for LLM inference in C/C++. > It is integrated with Open Edge Platform via the Vulkan backend, connected to OpenVINO. ::::