๊ฐ€์ž… ํ›„ ์ดˆ๋Œ€ ๋งํฌ๋ฅผ ๊ณต์œ ํ•˜๋ฉด ๋™์˜์ƒ ์žฌ์ƒ ๋ฐ ์ดˆ๋Œ€ ๋ณด์ƒ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Alexey Fateev
@superalesha
โšกI benchmark local LLMs on 4x RTX 3090s. exact configs, tok/s, VRAM, and what broke. โค๏ธ - 2xDGX Spark ๐Ÿš€96GB VRAM | Local AI
๊ฐ€์ž… January 2026
325 ํŒ”๋กœ์ž‰ ์ค‘    3.7K ํŒฌ
I spent 67 hours of model time to find out how much dumber 4 bit really makes Qwen3.8-27B. FP8 vs NVFP4 vs AWQ INT4 vs GGUF Q4_K_M vs NInfer on my 4x RTX 3090. 4,800 tasks, 10,120 requests, 14.5M reasoning tokens, no token caps anywhere. The results surprised me. Big thread, lets go ๐Ÿงต
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