Laguna S 2.1 (Poolside) is a 118.0B parameters MoE (8.0B active per token) open-weight model tracked on AI Hashrate. At 8K context we estimate roughly 67.4 GB VRAM for Q4 (weights 64.9 GB + KV 1.5 GB + 1 GB overhead) and 238.5 GB for FP16. About 12 GPUs/accelerators in our catalog fully fit this model at Q4 under that context assumption. Fastest Q4 configs: B200 192GB SXM ≈ 956.7 tok/s (estimated); MI300X 192GB ≈ 625.5 tok/s (estimated); H200 141GB SXM5 ≈ 574.0 tok/s (estimated); H100 80GB SXM5 ≈ 400.6 tok/s (estimated); Gaudi 3 128GB ≈ 386.6 tok/s (estimated). Use the table below for VRAM fit and tok/s per dollar (list MSRP). Estimates follow memory-bandwidth math; measured rows override when present. See methodology for details. Methodology.