Older stories and guides from the Convly archive.
The complete VRAM cheat sheet for every major open LLM in 2026 — at every common quantization level — plus a matrix showing which models fit on 12, 16, 24, 32, 48, and 80 GB GPUs.
The RTX 5090 brings 32 GB of GDDR7 and ~30% more AI throughput than the 4090 — but is it the right buy for image generation, local LLMs, or fine-tuning? Real benchmarks, real verdict.
Apple Intelligence on the A19 Pro versus Galaxy AI on the Snapdragon 8 Gen 4. Which phone does more AI on-device, and which one keeps your data more private?
Llama 3 8B runs surprisingly well on 2026 flagship Android phones — at usable speed, offline, with no API costs. Here’s exactly how to set it up on a Snapdragon 8 Gen 4 device.
Six laptops you can actually buy for serious ML/AI work in 2026 — ranked by real-world performance, sustained thermals, and how long they’ll stay relevant. We picked one overall winner.
We ranked every relevant GPU for local LLM inference in 2026 — from the $250 Arc B580 to the $30,000 H200. Real tokens-per-second, real VRAM ceilings, real recommendations.
The RTX 5090 is faster per token. The M4 Max holds models five times bigger. How the two compare across the AI workloads that matter in 2026, using published benchmarks and specs, and which one to buy.
From zero to ai engineer: your 90-day learning path.
Creating an ai-powered resume screener (full tutorial).
Setting up your first local llm with ollama.
How to train a custom gpt: step-by-step tutorial.
Build a personal ai assistant in 30 minutes (python tutorial).
