llm inference engines
Recent window: last 5.4 months (2026-05-01 → 2026-10-11), compared with the prior 5.4 months.
LLM inference engines provide specialized runtimes and execution backends optimized to run large language models efficiently across consumer GPUs, edge devices, and enterprise servers. They are used by machine learning engineers and developers who need maximum token throughput, low latency, and minimal memory footprints when serving models. Unlike training frameworks or high-level AI app builders, these products focus strictly on the low-level execution layer through custom kernels, quantization, and hardware-specific hardware acceleration.
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Pulled from real Hacker News comment threads on this niche's launches.
Members
| Name | Source | Upvotes ▼ | Launched |
|---|---|---|---|
| SemIf | GITHUB | 2318 | 2026-09-16 |
| Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac | HN | 919 | 2026-07-29 |
| Strata | GITHUB | 918 | 2026-09-24 |
| Llama 3.1 70B on a single RTX 3090 via NVMe-to-GPU bypassing the CPU | HN | 395 | 2026-02-21 |
| Run an 80B Qwen in 4.3 GB of RAM on a Mac, and a 35B on an iPhone | HN | 312 | 2026-08-03 |
| Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s | HN | 240 | 2026-09-01 |
| BaseRT | PH | 222 | 2026-07-19 |
| Tiny-vLLM | HN | 205 | 2026-05-29 |
| kvmem-llama.cpp | GITHUB | 176 | 2026-09-14 |
| Maple-Preview | HN | 173 | 2026-08-04 |
| lithos-metal | GITHUB | 129 | 2026-10-05 |
| qwenimage-ncnn-vulkan | GITHUB | 112 | 2026-09-21 |
| glm53-tensorfold-spark | GITHUB | 99 | 2026-09-28 |
| Infernix | GITHUB | 98 | 2026-10-08 |
| open-jev-fast | GITHUB | 88 | 2026-09-27 |
| mirai-s-ada | GITHUB | 83 | 2026-10-06 |
| A tiny LLM running at 21,000 tok/s on a $250 FPGA (Live Demo) | HN | 79 | 2026-08-10 |
| strata-mlx | GITHUB | 75 | 2026-10-10 |
| vllm-jev | GITHUB | 72 | 2026-09-24 |
| PS5LM | GITHUB | 67 | 2026-10-01 |
| ZSE | HN | 58 | 2026-02-26 |
| NanoEuler | HN | 55 | 2026-06-28 |
| jevmlx | GITHUB | 54 | 2026-09-17 |
| kyojin | GITHUB | 53 | 2026-10-02 |
| sarvam-jev | GITHUB | 50 | 2026-09-18 |
| I ran a language model on a PS2 | HN | 46 | 2026-03-21 |
| solar-mini4-jev | GITHUB | 43 | 2026-09-21 |
| UnbiasedStrata | GITHUB | 35 | 2026-10-07 |
| glm53-flash-offload | GITHUB | 34 | 2026-10-01 |
| reflex | GITHUB | 34 | 2026-09-23 |
| mlxfast-bonsai2-27b-engine | GITHUB | 30 | 2026-09-24 |
| Strata-GLM | GITHUB | 28 | 2026-10-11 |
| coachwhip | GITHUB | 28 | 2026-10-01 |
| MegaCapybara | GITHUB | 26 | 2026-10-03 |
| system-one | GITHUB | 24 | 2026-09-17 |
| ninfer-ternary-bonsai-ada | GITHUB | 23 | 2026-09-20 |
| gr8 | GITHUB | 22 | 2026-10-10 |
| TandemLLM | GITHUB | 21 | 2026-09-28 |
| janas | GITHUB | 21 | 2026-09-20 |
| qwen38-flash-next-b70-offload | GITHUB | 21 | 2026-10-06 |
| Run Agent Skills with mistral.rs v0.8.10: /v1/skills support and more | HN | 20 | 2026-06-18 |
| deepseek-v4.1-tensorfold-tp2-2xgb10 | GITHUB | 20 | 2026-10-04 |
| hashyy | GITHUB | 18 | 2026-10-03 |
| JEV-CPU | GITHUB | 18 | 2026-09-19 |
| gfx1151-engine | GITHUB | 18 | 2026-09-19 |
| factorio-transformer | GITHUB | 17 | 2026-10-04 |
| Run 500B+ Parameter LLMs Locally on a Mac Mini | HN | 17 | 2026-03-09 |
| cyber-on-strata | GITHUB | 17 | 2026-10-09 |
| PipeSwift | GITHUB | 16 | 2026-10-12 |
| Qwen3.8-Flash-Dual-DGX-Sparks-TensorFold | GITHUB | 16 | 2026-10-07 |