NXP Semiconductors x roofline: Next-generation software enablement for LLMs on NXP's eIQ® Neutron NPU

Edge AI innovation is accelerating, and software velocity is its key enabler. NXP and Roofline have teamed up to showcase how scalable software infrastructure, combined with deep hardware-specific optimizations, unlock NPU-based systems for real-world adoption.

Starting with LLM enablement for NXP’s eIQ Neutron NPU on the i.MX 95 applications processor, we highlight three tangible advantages: 1) Broad model coverage across cutting-edge LLMs, 2) Support for larger models exceeding the NPU's 2 GB local memory, and 3) Performance gains of up to 3.2x faster LLM prefill compared to CPU-only execution.

By orchestrating heterogeneous execution across CPU and NPU and offloading matrix multiplications at the compiler level, we enable full SoC utilization and Day-0 support for latest models.

Read the full case study for technical details, performance insights, and the practical implications for developers building on NXP hardware: https://lnkd.in/d86p7Gks

‍Thanks to Sebastian Vogel, Dr., Lennart Bamberg, Ali O. Ors, Moritz Riesterer, Davis Sawyer, and the entire NXP team for the collaboration, as well as Toradex for the provided i.MX 95 EVK.

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