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RUNTIME / MEDIUM

OpenVINO Model Server

Serving OpenVINO IR models on Intel CPUs, Arc GPUs and NPUs with one API

Fonte primaria
DifficultyMediumSetup profile
Platforms2intel · cpu
APIOpenAI-compatible:8000
01 / INSTALL & RUN

Installation depends on your OS. These commands are examples or templates: replace placeholders and verify quantization, file format, drivers and runtime support. Memory fit does not guarantee deployment.

  1. 1
    Installdocker pull openvino/model_server:latest-gpu
  2. 2
    Start a modelovms --source_model <verified-OpenVINO-IR-model> --model_repository_path /models --rest_port 8000
  3. 3
    Connect your app

    OpenAI-compatible · :8000. Keep the service bound to localhost unless you add authentication and network controls.

Attenzione

`latest` is the Intel CPU image and `latest-gpu` adds Intel GPU/NPU; NPU execution needs a current Intel driver. Models are served as OpenVINO IR, so a checkpoint with no IR export or an unsupported architecture is not a fit.

02 / COMPATIBLE MODELS

Modelli open-weight rappresentativi

Google

Gemma 3 1B

1BINT4 / GGUF Q4
Memoria stimata
~1.4 GB
Contesto
32K
Meta

Llama 3.2 3B

3BGGUF Q4
Memoria stimata
~2.8 GB
Contesto
128K
Alibaba Qwen

Qwen3 4B

4BGGUF Q4
Memoria stimata
~3.6 GB
Contesto
32K+
Google

Gemma 3 4B

4BINT4 / GGUF Q4
Memoria stimata
~4.2 GB
Contesto
128K
Alibaba Qwen

Qwen3 8B

8BGGUF Q4
Memoria stimata
~6.8 GB
Contesto
32K+
Google

Gemma 3 12B

12BINT4
Memoria stimata
~9.4 GB
Contesto
128K