PUBG creator Krafton aims to deliver a global gaming hit from a budding development studio in India, leveraging the presence in one of its top markets to define its next stage of growth

PUBG 9th Anniversary｜STILL HERE, ALL DAY BEHIND PHOTO 🔗 #ALLDAYPROJECT# #ADP# #올데이프로젝트# #PUBG# #STILLHEREALLDAY# #THEBLACKLABEL# #더블랙레이블#

PUBG x ALLDAY PROJECT ‘I DON’T BARGAIN’ OFFICIAL M/V BEHIND PHOTO 🔗 #ALLDAYPROJECT# #ADP# #올데이프로젝트# #PUBG# #STILLHEREALLDAY# #THEBLACKLABEL# #더블랙레이블#

PUBG x ALLDAY PROJECT ‘I DON’T BARGAIN’ OFFICIAL M/V BEHIND PHOTO 🔗 #ALLDAYPROJECT# #ADP# #올데이프로젝트# #PUBG# #STILLHEREALLDAY# #THEBLACKLABEL# #더블랙레이블#

The company behind PUBG just trained its own 29B Local AI model from scratch. And the architecture is interesting. KRAFTON’s new Raon-1 mini is … 🧠 28.8B total parameters ⚡ only 4.3B active/token 💾 official Q4_K_M → 19.7GB 📚 262K context 🔓 Apache 2.0 🤖 reasoning + agent/tool use 18 of its 25 layers use fixed-state linear attention. Only 7 layers maintain a growing KV cache. KRAFTON says those layers use only ~8 KiB of BF16 KV per token. So even at the full 262K context, that’s roughly: 👉 ~2GB of growing KV cache before other runtime/state overhead. And in KRAFTON’s reported comparisons, this new 30B-A4B model beats Qwen3.6-35B-A3B on 11 of 18 listed benchmarks. Lots of new models coming for Qwen3.6-35B recently. ⚠️ Preview release. KRAFTON’s benchmark results. Upstream llama.cpp support is still pending and KRAFTON provides its own branch today. Link in ALT