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veiziknative inference engine

Product

OverviewWhat the engine is How it worksWeights in, native execution out PlatformsNVIDIA · Apple Silicon Security & licensingDevice-bound, local by design ReleasesEvery build, dated

Engineering

All capabilitiesOne researched page per capability Video memory720p that stays under a 24 GB card A 35B model on one card21 GiB resident on a 24 GB GPU Edge optimizationGenerative AI on a Raspberry Pi CPU Its own stackNo Python, no framework, no cuBLAS Resume a renderCrash, resume, same result

Models

NVIDIALanguage and video — available now Apple SiliconQwen2.5 · Qwen3 — available Raspberry Pi · edgeSD1.5 · SDXS · GPT-2 — arriving soon Full catalogueEvery model and its status

Hardware

All hardwareEvery device × every model Pick your deviceWhat runs on yours NVIDIAAmpere → Blackwell · CUDA Apple SiliconM1 – M4 · Metal Raspberry Pi · edgeCPU & NPU — generative AI on a Pi

Benchmarks

All resultsMatrix or pick, by build Builds & downloadsEvery build, JSON / CSV Method & notationHow every figure is taken

Docs

QuickstartInstall to first run Command referenceEvery documented command Activate a machineDevices and licence What leaves the machineOffline and network TroubleshootingWhen something fails

Gallery Releases Download GitHub

Hardware

Apple Silicon

Metal execution on Apple Silicon. Runs on supported Apple Silicon generations: M1, M2, M4 (M3 untested here).

Overlapping sheets of dark graphite metal, each fold catching a thin warm light seam.

Apple Silicon — what runs on it

Supported generations: M1, M2, M4 (M3 untested here).

Image rendered by Veizik for NVIDIA, development build (linux x86_64) · SD3.5-medium · NVIDIA RTX 3090 · Powered by Stability AI

Supported combinations

What runs on this target

Model	Task	Device memory	Context	Status
Qwen2.5-0.5B	Language	328 MiB	32,768	Available
Qwen2.5-1.5B	Language	884 MiB	32,768	Available
Qwen3-1.7B	Language	923 MiB	32,768	Available
Qwen2.5-7B	Language	3,923 MiB	32,768	Available

Device memory measured on Apple M1 Max, Apple M2 Pro.