Frontier-class AI now runs on a single GPU - Qwen3.8-27B matches proprietary models at 17GB Alibaba's Qwen3.8-27B just landed on Hugging Face under Apache 2.0, and the numbers are wild.
It runs coding agents and reasoning locally at a 4-bit footprint of roughly 17GB, and Artificial Analysis scores it 52 on the Intelligence Index - the same as GPT-5.6 Luna at maximum reasoning.
The hardware footprint is the story.
Full 16-bit precision needs about 56GB of GPU memory.
FP8 needs about 28GB.
Quantize to 4-bit and it drops to 17GB, which fits on a single 24GB RTX 3090.
This is the future: small, fast, effective.
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Originally posted on reddit