Whileone Tech Space

Most engineering teams find out their system is broken when a customer tweets about it at 2 AM. We find out before the customer ever notices. And when something does go wrong, we know the root cause in under three minutes, not three hours. Here's what we actually do, and why it matters more than most people realize. Site Reliability Engineering Isn't Just Dashboards and On-Call Rotations There's a widespread misconception that Site Reliability Engineering is glorified sysadmi

using PyTorch on ARM and x86 CPUs CPU Inference Benchmarking · ARM vs x86 · W8A8 Quantization Overview ResNet50 is a convolutional neural network built using bottleneck residual blocks of the form: 1×1 Conv → 3×3 Conv → 1×1 Conv + Skip Connection Among these layers, the 3×3 convolution layers dominate execution time, making Conv2d the primary hotspot during inference. Although ResNet50 performs ~4 GFLOPs per inference, it is not compute-heavy enough to fully utilize moder