# APIs Qualcomm Linux provides [Qualcomm® Intelligent Multimedia SDK (IM SDK) Gstreamer plugin APIs](https://docs.qualcomm.com/bundle/publicresource/topics/80-70015-50/qim-sdk-plugins.html) to interface with Qualcomm AI stack SDK APIs, to optimally run deep learning models on hardware modules such as NPU, GPU, CPU. Page-1 Sheet.1218 Hardware Hardware Sheet.1219 AI SDKs AI SDKs Sheet.1220 Qualcomm IMSDK Gstreamer plugins Qualcomm IMSDK Gstreamer plugins Sheet.1221 AI applications AI applications Sheet.1222 Qualcomm® Neural Processing Engine plugin (qtimlsnpe) Qualcomm® Neural Processing Engine plugin (qtimlsnpe) Sheet.1223 Qualcomm Neural Processing Engine Qualcomm Neural Processing Engine Sheet.1224 Qualcomm® AI Engine Direct plugin (qtimlqnn) Qualcomm® AI Engine Direct plugin (qtimlqnn) Sheet.1225 TensorFlow Lite plugin (qtimltflite) TensorFlow Lite plugin (qtimltflite) Sheet.1226 NPU (DSP/HMX/HTP) NPU (DSP/HMX/HTP) Sheet.1227 GPU GPU Sheet.1228 CPU CPU Sheet.1229 Sheet.1230 Sheet.1231 Sheet.1233 Qualcomm AI Engine Direct Qualcomm AI Engine Direct Sheet.1234 Sheet.1235 Sheet.1237 Sheet.1238 Sheet.1240 TFLite Delegate TFLite Delegate Sheet.1244 Three Gstreamer ML plugin APIs are provided to support two AI stack SDKs, and external TFLite, which provides flexibility for developers to choose the right combination for their AI needs. > > > | [Qualcomm IM SDK plugin for Qualcomm Neural Processing Engine (qtimlsnpe)](https://docs.qualcomm.com/bundle/publicresource/topics/80-70015-50/qtimlsnpe.html) | Uses [Qualcomm Neural Processing Engine](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-2) APIs to load and execute models.


Choose this plugin for quick prototyping and high-level API support. | > | --- | --- | > | [Qualcomm IM SDK plugin for Qualcomm AI Engine Direct plugin (qtimlqnn)](https://docs.qualcomm.com/bundle/publicresource/topics/80-70015-50/qtimlqnn.html) | Uses [Qualcomm AI Engine Direct](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50) APIs, which provide low-level, unified API and improved performance to optimize and execute network models on the desired hardware accelerator.


Choose this plugin for advanced graph execution options and optimizations. | > | [Qualcomm IM SDK plugin for TensorFlow Lite (qtimltflite)](https://docs.qualcomm.com/bundle/publicresource/topics/80-70015-50/qtimltflite.html) | Accelerates TFLite models directly using [Qualcomm AI Engine Direct](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50) APIs to load and execute models.


Choose this plugin to directly run TFLite models, without the need of conversion. | **SDK APIs** - These SDKs provide AI APIs for application developers. > > > | [Qualcomm Neural Processing Engine SDK](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-2/api.html) | C, C++, and Java APIs to support heterogenous computing, system-level configurations, and direct AI workloads to all accelerator cores.


Provides developers with flexibility, including inter-core collaboration support and other advanced features. | > | --- | --- | > | [Qualcomm AI Engine Direct](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/api.html) | Low-level, highly customizable APIs that speed up AI models on all AI accelerator cores with individual libraries.


This SDK can be used to target a specific accelerator core or delegate workloads from popular runtimes including


Qualcomm Neural Processing Engine SDK, TensorFlow Lite, and ONNX runtime. | Last Published: Dec 20, 2024 [Previous Topic Architecture](https://docs.qualcomm.com/bundle/publicresource/80-70017-15/topics/architecture.md) [Next Topic Sample Apps](https://docs.qualcomm.com/bundle/publicresource/80-70017-15/topics/sample-apps.md)