AI Developer Tools and Frameworks#
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 |
|---|---|
Accelerate model prototyping, training, and rapid iteration on Intel GPUs. |
|
Optimize and deploy deep-learning inference workloads. |
|
Develop and profile heterogeneous C++, SYCL, and data-parallel workloads. |
|
Accelerate your OpenVINO™-powered deployment with a unified API for connecting cameras, robots, and policy inference. |
|
Train and deploy VLA models with an easy-to-use imitation learning dataset generation platform. |
|
Use an end-to-end pipeline to create vision AI models optimized for Intel. |
For performance analysis, see Benchmarking and Profiling.
Optimize and deploy deep-learning inference on available Intel compute devices.
Use an end-to-end pipeline to create vision AI models.
Find skills for use with the Robotics AI Suite to power AI-enabled development.