AI Resources#
Here you will find guidance that covers the frameworks, models, and tools used to build and optimize robot perception and intelligence workloads.
Developer Tools#
Use these tools to develop, optimize, and profile AI workloads for Robotics AI Suite applications. Install versions supported by the relevant application or Blueprint; do not combine independently pinned toolkit versions without validating the resulting environment.
Tool |
Use |
|---|---|
Optimize and deploy deep-learning inference workloads. |
|
Develop and profile heterogeneous C++, SYCL, and data-parallel workloads. |
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Accelerate your OpenVINO-powered deployment with a unified API for connecting cameras, robots, and policy inference. |
|
Train and depoy VLA models with an easy-to-use imitation learning dataset generation platform. |
For performance analysis, see Benchmarking and Profiling.
Optimize and deploy deep-learning inference on available Intel compute devices.
Install and configure OpenVINO, oneAPI, IPEX, IPEX-LLM, and OpenXLA.
Find skills for use with the Robotics AI Suite to power AI-enabled development.