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Two RAM modules with gold connectors lying on a gray surface, the larger one on the left and a smaller one on the right
News · chips

AWS's new G7 instances won its own benchmark with half the GPUs

AWS benchmarked its Blackwell-based G7 instances against G5, G6 and G6e on 30B mixture-of-experts models. The two-GPU box beat the four-GPU boxes, the cheapest configuration and the fastest one turned out to be different machines, and the same model cost 2.5 times more per token on retrieval traffic than on chat.

Ahmad J · Sep 8, 2026 · 6 min read

A GPU graphics card circuit board lying on a wooden workbench with tools and electronics visible in the blurred background
Guide · aiDeep read

Which local LLMs fit in 8, 12, 16, 24 or 32GB of VRAM

At Q4_K_M and 8K context, 8GB comfortably holds Gemma 2 9B (5.8 GB) and 24GB holds Gemma 3 27B (17.5 GB). Full tables for every common VRAM tier, computed the same way our GPU checker computes them.

Ahmad J · Sep 6, 2026 · 8 min read

An M.2 solid-state drive with heatsink stands on a desk beside a laptop, coffee mug, and other computer components
Guide · hardware

How to Choose Hardware for Local AI

Ask about memory before compute: a model has to fit to run at all, and bandwidth sets the speed. CPU, discrete GPU, or unified memory. A short buying guide, plus an interactive picker that points you to the right path.

Ahmad J · Sep 1, 2026 · 3 min read

A white circuit board with black components mounted on concrete ground against a gray wall, photographed at an angle in shallow focus
Article · ai

Small AI Models Are Quietly Winning in Production

Frontier models get the headlines, but inside real companies smaller, cheaper, faster models do the actual work. Here's how they win, where they don't, and what it costs to ignore them.

Ahmad J · Aug 14, 2026 · 4 min read

A compact mini PC and two graphics processing units with dual fans sit on a wooden desk next to a keyboard and monitor
Guide · hardware

How to Build an AI Workstation on a Tight Budget

A working AI machine doesn't need a flagship build. The gate is one number, the memory on your GPU, so spend there first, buy the rest just good enough, and leave room to grow. Includes a simple rule for sizing VRAM to the models you actually want to run.

Ahmad J · Aug 13, 2026 · 3 min read

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