NeuroBrix
One Runtime. Any Model. Any Hardware.
NeuroBrix launched on April 2, 2026.
What it does
A universal, vendor-agnostic AI inference runtime. Run any model on any hardware with thenbx universal format. Zero fallback, blazing fast.
A universal, vendor-agnostic AI inference runtime. Run any model on any hardware with the .nbx universal format. Zero fallback, blazing fast.
One runtime, one .nbx format, one command set — and 47 models across 10 categories running on it today: language and code, vision, speech in and out, audio-native LLMs, images, upscalers, video, and omni models that do several at once. Every model ships as a single .nbx container carrying its own execution topology, weight map and runtime configuration. Nothing to wire up per model. import, serve, run, stop. The same four verbs drive every package in the catalogue, from the smallest upscaler to the largest video model. No per-model scripts, no bespoke runtimes. Prism reads the safetensors headers, sizes the job against the GPUs actually present, and picks a placement strategy — from…from neurobrix.es
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Neuropod – Uber ATG's open source deep learning inference engine2020 · github.com · ▲80A uniform interface to run deep learning models from multiple frameworks - uber/neuropod

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