Three years into AMD’s push, ROCm 6.3 on the 7900 XTX is finally usable for serious AI. But CUDA isn’t standing still — here’s where each ecosystem actually wins in 2026.
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 actually does more AI on-device — and which one keeps your data more private? We tested both.
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. We tested both at every AI workload that actually matters in 2026 — here’s which one to buy.
