How a Team Ran the Open‑Source Kimi K3 Model on 80 RTX 5090 GPUs
The Kimi K3 model weights were released on HuggingFace (1.56 TB total), featuring mixed attention, Attention Residuals, and a Stable LatentMoE that together cut scaling cost by 2.5×, and a detailed cost‑benefit analysis shows how 80 consumer‑grade RTX 5090 cards can run the full 2.8‑trillion‑parameter model with 20 tok/s throughput, while highlighting memory‑saving quantization, KV‑cache design, and the steep price gap versus professional GPUs.
