Solar Open 2: 250B total, 15B active, runs on two H200s quantized.

Korea's Upstage released a commercially usable agent-first MoE (320 routed + 1 shared experts, top-8) trained on ~12T tokens over 2M B200 GPU-hours. The architecture is deliberately serving-cheap: hybrid softmax + linear attention in a [Softmax, Linear×3]×12 pattern with NoPE and 1M context, fitting four H200s in BF16 or two quantized. CEO Kim Sung-hun pointedly contrasted this with models needing 16 B200s. Reported: 70.4 SWE-Bench Verified, 92.4 LiveCodeBench, 86.2 MMLU-Pro, 58.2 MCP-Atlas tool calling. Their Selective Weight Transfer init hit target loss in ~12B tokens versus ~22B for random. (Upstage)