LG opens a 750B-parameter Korean model

LG AI Research released K-EXAONE 2.0 with 750 billion total parameters, 37 billion active per token, and a 262,144-token context window under Apache 2.0, according to the official model card. LG says the sparse model averaged 70.1 across 24 benchmarks versus its predecessor’s 63.3, while its serving recipe calls for two nodes carrying 16 H200 GPUs—so it is a sovereign-scale artifact, not a workstation model. For operators comparing Korean models after Solar Open 2 put a 250B agent model on two H200s, K-EXAONE widens the capability ceiling but also makes infrastructure cost the first gate in any self-hosting evaluation.