Observed arrival · 2026-10-15
LowB Arena’s one-GPU quantization contest
A public benchmark compares low-bit LLM inference with BF16 on a single B200 GPU.
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- LLM quantization and inference-performance researchers
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- Two tasks target Qwen3-8B and Qwen3.5-27B on one B200, with separate reference and participant boards.
Field notes
Each task models three workloads, including long-context requests at stated batch sizes, and lists the BF16 peak memory and throughput. The page separates participant entries from reference recipes and reports accuracy-gate pass counts: 6 of 14 for Qwen3-8B and 7 of 7 for Qwen3.5-27B. Its stated gate checks performance against BF16 on a hidden split of ten benchmarks; no participant entries are listed yet.
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