- Tech News & Insight
- September 23, 2025
- Hema Kadia
The CPU roadmap is strategically important because AI clusters depend on balanced CPU-GPU ratios and fast data pipelines that keep accelerators fed and utilized. Even as GPUs carry training and inference, CPUs govern input pipelines, feature engineering, storage I/O, service meshes, and containerized microservices that wrap models in production. More cores and threads at competitive power envelopes reduce bottlenecks around feeder tasks, scheduling, and data staging, improving accelerator utilization and lowering total cost per token or inference. In this lens, a 256-core Arm-based Kunpeng in 2028 would directly affect how much AI throughput Ascend accelerators can sustain per rack.