SSD-streaming inference engine for giant MoE models (Rust + CUDA). GLM 5.2 743B at 2 tok/s and Hy3 295B at 7 tok/s on two consumer 16GB GPUs. Zero-config multi-GPU: measures PCIe bandwidth, places attention and hot experts where they fit.
Strata fork: Qwen3.8-Flash-Next 125B MoE in ModelOpt NVFP4 on one RTX 20/30/40/50 card (12 GB+, measured on an RTX 5090) + 64 GB of RAM or more. W4A8 prompt path, AVX-512 CPU experts, a low-RAM tier, pictures on the CPU, Cyrillic MTP drafts. Windows / CUDA 13.
Xolotl (formerly Strata-DSV4.1): DeepSeek-V4.1-Flash, all 552B, on one gaming PC (RTX 4090 + 90 GB RAM) at ~27 tok/s, plus GLM-5.3-Flash, Qwen3.8-Flash-Next and Qwen3.8-27B. A heavily extended fork of Strata: MoE experts tiered across VRAM, pinned RAM and NVMe; OpenAI + Anthropic API.