llm-hardware

#llm-hardware

@MinLiBuilds: A new cost-effective benchmark has appeared with Qwen3.8-27B. AA Index 52.0 score, ranking 108/137 models in capability. If the price is cheaper than theirs, it's a local kill line. The local cost formula is simple: Cost per Token = (Total machine price + 3-year electricity cost) ÷ 3-year total output Tokens…

X AI KOLs Timeline ↗ · 19h ago Cached

The Qwen3.8-27B model is presented as a cost-effective locally deployed AI model, with cost analysis showing it significantly outperforms cloud models like Opus in both performance and cost, emphasizing the economic benefits of local inference.

0 favorites 0 likes

#llm-hardware

LLM planner - pick a rig for your use-case/model/budget, or pick models for your rig. 60+ builds, 50+ models, 130+ cited t/s sources, 150+ reviewer YouTube videos, idle+active watts, multi-region prices, regular updates.

Reddit r/LocalLLaMA ↗ · 2026-05-21

A comprehensive web tool and public dataset that helps users choose the right hardware for running LLMs, featuring 60+ builds, 50+ models, performance benchmarks, and reviewer videos, with two-way matching between models and hardware.

0 favorites 0 likes

llm-hardware

LLM planner - pick a rig for your use-case/model/budget, or pick models for your rig. 60+ builds, 50+ models, 130+ cited t/s sources, 150+ reviewer YouTube videos, idle+active watts, multi-region prices, regular updates.

Submit Feedback