Metal GPU Programming - A Practical Guide for macOS Developers
A hands-on guide to Metal compute programming on Apple Silicon. Covers architecture, unified memory, real code examples in MSL and Swift, and how Metal compares to CUDA.
Guide
CUDA Programming - A Practical Guide for Software Engineers
A hands-on guide to CUDA programming for developers who know how to code but have never written a GPU kernel. Covers architecture, memory, real code examples, and Metal comparison.
The Best AI Image Generation Models You Can Run on Your Own GPU in 2026
A comprehensive guide to the best image generation models that run locally on consumer GPUs with 16GB of VRAM, from FLUX and Stable Diffusion to video generation and upscaling.
A Developer's Guide to Finetuning and Distilling Language Models
A practical, hands-on guide for software developers who want to finetune open-source LLMs and distill larger models into smaller, faster ones - covering techniques, tools, datasets, and cloud GPU options.
How to Choose the Right LLM in 2026: A Practical Guide
A practical guide to choosing the right large language model in 2026, covering task types, budgets, context windows, and the open vs proprietary debate.
Understanding AI Benchmarks: What MMLU, GPQA, and Arena Elo Actually Mean
A plain-English guide to AI benchmarks like MMLU, GPQA, SWE-Bench, and Chatbot Arena Elo, explaining what they measure and why no single score tells the whole story.
