Hi everyone,
I’m planning to use an AI laptop as my main development machine for NXP AI and ML projects, including eIQ Machine Learning tools and i.MX-based edge AI platforms.
I want to leverage the power of an AI laptop for tasks like training AI models, optimizing them, and deploying to NXP embedded devices.
From your experience, which features of an AI laptop matter most for NXP development? For example:
- GPU vs CPU performance for training and inference
- Recommended RAM for smooth AI workflows
- Storage type and speed considerations
- Best operating system (Linux vs Windows) for NXP AI tools
I’d really appreciate any advice, recommendations, or real-world experiences using an AI laptop for NXP AI projects.
Thanks in advance!
