Central Processing Units
Central Processing Units (CPUs) are general-purpose processors that serve as one of several hardware backends supported by the Nexa SDK for running AI models locally. Unlike specialized accelerators such as GPUs or NPUs, CPUs are universally available components present in virtually all computers, making them an accessible option for users without dedicated AI acceleration hardware.
Advantages and Limitations
CPU-based model execution offers broad compatibility across different systems and requires no additional hardware investment or driver installation. The Nexa SDK provides native support for running quantized models on CPUs, allowing users to deploy AI models on standard machines. However, CPUs typically process AI workloads more slowly than specialized accelerators, making them suitable for inference tasks with less stringent latency requirements or for development and testing purposes.
Use Cases
CPU inference is particularly valuable for edge deployment scenarios where dedicated hardware is unavailable, for running smaller quantized models with acceptable performance, and for ensuring consistent model behavior across diverse computing environments. The universal availability of CPUs makes them a pragmatic choice for initial prototyping and for users exploring AI model capabilities before investing in specialized hardware infrastructure.
Source Notes
- 2026-04-12: Nvidia CUDA GPU Parallel Computing for AI Advancement · ▶ source
- 2026-04-25: Google · ▶ source