Hi there AMD & Red Team!
Please hear me out, okay? For the past few weeks, Intel has taken the spotlight by integrating AI into their new CPUs. For example, one of their chips—the Intel® Core Ultra 7 Processor 265K—features 20 cores and onboard AI support.
To compete, we don’t necessarily need to stack more cores. What we do need is to prioritize the NPU—giving it more room to breathe and evolve, so it can assist the CPU cores in achieving their full potential.
[Here’s how and why NPU matters:]
On-device AI enables faster and more efficient image/video editing, live translation, voice processing, workload prediction, and smart caching.
Most modern creative and productivity tasks will increasingly rely on AI accelerators rather than raw CPU or GPU performance.
Even gaming stands to benefit—if NPUs are given more bandwidth and thermal space, they can enhance background tasks, prediction systems, and real-time performance boosts.
[Power Efficiency]
CPUs are still power-hungry when handling large-scale parallel operations.
NPUs are specifically optimized for matrix/tensor workloads, offering superior efficiency.
With 70–100 TOPS, NPUs can drastically reduce power draw while boosting actual task throughput.
[Thermal Headroom for GPU & System]
Rather than stuffing in cores that go underutilized most of the time, dedicating space and thermal allowance to a stronger NPU unlocks:
Better overall thermal design
Room for a more powerful integrated GPU
Cooler and quieter operation—a win for laptops and desktops
And even if a CPU doesn’t include an iGPU, couldn’t that same silicon space be repurposed for a beefier NPU instead? It’s a compelling trade-off, especially as AI integration grows in importance across all platforms.
