RTX 5070 Ti Laptop 12GB 跑 Qwen3.8-27B：NInfer + KVMem、256K 逻辑上下文、RAM KV、MTP、快速缓存续接与 dsh 本地 Agent / 搜索 / 浏览器。含源码、Windows 部署及实测。
The ultimate Qwen3.8-27B setup for RTX 2080 Ti 22 GB: 256K context, 67 tok/s, DFlash2 + near-free n-gram reuse
RTX 2080 Ti 22G（sm_75）单卡本地长上下文最优解：KVMem 主线 262K 上下文 / 36.6 tok/s 实测（IQ3+MTP+视觉），KV 流式无损备档；完整源码复现链 + 构建/补丁/测试工具
Reproducible 16GB-VRAM Windows local-agent stack: DSH Desktop + KVMem (llama.cpp fork, KV cache in system RAM) + parameter panel. Flagship: Bonsai 2 CRACK 27B — 100+ tok/s, 262K ctx on RTX 4080. GSQ for intelligence at ~50 tok/s; QQZ default.
Single-GPU NInfer + KVMem integration: multi-lane long contexts, DFlash2 + vision, native prefix reuse and reproducible measurements.
KVMem + ActKV long-context NInfer for Tesla V100 (sm_70) on Windows: host-archived KV working set, Swift-1.5 27B + MTP, native GGUF loading, OpenAI/Anthropic-compatible serving
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