Infernix

Infernix is an inference engine that serves Qwen models on a single NVIDIA GPU with expert caching and long context support.

Infernix is a C++ and CUDA inference engine that serves Qwen models on a single NVIDIA RTX 50-series GPU. It reads NInfer and Infernix artifacts, keeping experts in system RAM and caching hot ones in VRAM. The engine supports long context lengths natively and up to 1M tokens with YaRN, alongside a hybrid prefix cache and speculative decoding. It provides OpenAI-compatible and Anthropic-compatible APIs, constrained decoding, tool calling recovery, and vision support. Designed for developers and agents, it delivers fast prefill and decode speeds while managing memory constraints efficiently.

Infernix at a glance

Best for: Software engineer, Researcher
Runs on: Windows, Linux, API, self-hosted
Pricing: Free
Released: October 2026
Category: AI coding tool
Website: github.com/wallawalla47/infernix

Key features

Serves Qwen models on single RTX 50-series GPUs
Hybrid prefix cache with multi-tier storage
OpenAI and Anthropic compatible APIs
Constrained decoding with JSON and grammar support
Speculative decoding with multiple drafting methods
Vision support for images and video
Model conversion tools for Hugging Face and GGUF

Use it for

Running massive Qwen models on consumer hardware
Executing agentic coding workloads with fast response times
Serving long-context prompts up to one million tokens
Deploying strict JSON and schema-constrained LLM outputs

Alternatives to Infernix

Strata — Runs large AI models locally on consumer gaming PCs without server reliance.
AirLLM — Runs massive 70B+ parameter models on small 4GB consumer GPUs.
Reflex — It is optimized for cold-start latency and single-tenant decisions.
fal — Access 1,000+ generative models and high-performance serverless GPUs.
Inferock — It measures response usability and tracks failures alongside actual costs.
DeepInfer Studio — Explore AI inference workflows and resource trade-offs without requiring expensive hardware or GPUs.
Resin — Builds high-performance inference engines for complex models like DeepSeek and GLM.
HyperQwen — High-throughput Qwen model serving on single consumer GPUs.
Narwhal — It automatically hot-swaps prefill and decode roles without reloading model weights.
FreeToken — Runs 290B+ MoE models on consumer gaming PCs using elastic edge resources.
ncnn — No runtime dependencies and supports CPU and Vulkan GPU backends.
MTPLX — It runs local models twice as fast via native MTP speculative decoding.

All Infernix alternatives