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Smartphone camera module with multiple lenses and a small LED flash mounted on a gray textured surface
Article · hardware

Computational Photography: How Phone Cameras Use AI

Your phone camera takes a worse photo than a real camera, then fixes it in software. Here is what the AI is actually doing between the shutter tap and the image you keep, with an interactive view of the pipeline.

Ahmad J · Aug 17, 2026 · 5 min read

Metal server or power supply unit with cooling fins sits on a rack in a data center, with green indicator lights visible on equipment in the background
Article · aiDeep read

The Real Cost of AI Is Inference, Not Training

Training a model is a one-time headline number. Inference is the recurring bill that scales with every user, every request, and every reasoning token, and it quietly decides whether an AI product survives. With an interactive calculator for your own numbers.

Ahmad J · Aug 10, 2026 · 9 min read

A graphics processing unit with dual fans sits on a desk next to a small processor chip, with a monitor and desk supplies visible in the background
Article · aiDeep read

Why GPUs Beat CPUs for AI Inference

AI inference is a wall of matrix math. GPUs win because their thousands of cores, dedicated matrix units, and terabytes-per-second of memory bandwidth map onto that math almost perfectly, while CPUs, built for flexibility and low-latency single threads, choke on the parallelism.

Ahmad J · Aug 8, 2026 · 7 min read

Computer motherboard with multiple expansion slots under a desk lamp, with cables and components visible in the background
Article · hardwareDeep read

PCIe 4.0 vs 5.0 vs Thunderbolt for AI Workloads: Where the Generational Upgrade Actually Matters

PCIe generation marketing has outpaced workload reality. Where Gen 5 bandwidth is real, where it is phantom, and why a Thunderbolt eGPU is a last resort, with an interactive bandwidth chart and a where-it-matters breakdown.

Ahmad J · Aug 7, 2026 · 9 min read

Three large processor modules with metal heat sinks and three smaller circuit boards arranged on a gray concrete surface
Article · aiDeep read

Quantization Explained: What Q4, Q8, and FP16 Actually Do to a Local Model

Quantization shrinks AI model weights from 16-bit floats to 4- or 8-bit. Here is exactly what that trade-off costs you, and how to pick between Q4_K_M, Q8, and FP16 for the model you actually want to run, with an interactive memory calculator.

Ahmad J · Aug 6, 2026 · 8 min read

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