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imp

kekzl/imp

LLM server for NVIDIA Blackwell only (GeForce RTX 50, RTX PRO). On one RTX 5090, Qwen3.8-27B one user: 96.3 tok/s, 1.38x vLLM without speculative decoding, 1.23x llama.cpp on the same GGUF. Serves the 123.6 GiB Qwen3.8-Flash-Next from a 32 GB card at 92.1 tok/s. OpenAI and Anthropic API, tool calls, one docker run.

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indras-mirror

xolotl

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.

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ahtx

kindi

A custom LLM inference engine for low-cost NVIDIA GPUs: Quadro K420 and K1200, two K1200s joined into one 8 GB card, GTX 1080 and RTX 3080. Runs Bonsai 2B, 4B, 9B and 27B models with an OpenAI-compatible server.

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0xbakeer

qwen3.8-27b-fp8-on-a-single-dgx-spark

Serving Qwen3.8-27B-FP8 on a single DGX Spark (GB10): 7.88 to 58.5 tok/s single-stream from decode strategy alone, weights untouched. Speculative decoding and prefix caching benchmarked, plus DFlash 2 — the only Qwen3.8-27B build that can serve it under vLLM.

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aeon-7

vllm-ultimate-dgx-spark

AEON vLLM Ultimate — vLLM 0.24.0 built from source for DGX Spark / Blackwell (sm_121a/GB10). One image serves the whole AEON fleet (Gemma-4-26B-A4B, Qwen3.6-27B, Qwen3.6-35B-A3B) with DFlash speculative decoding, NVFP4 weights + Triton NVFP4/FP8 KV cache, high-concurrency DFlash fix, UMA cudagraph clamp, FlashInfer 0.6.12.

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