System Requirements#
This page provides detailed hardware, software, and platform requirements to help you set up and run the microservice efficiently.
Supported Platforms#
The multilevel-video-understanding microservice itself is platform-agnostic — it only needs an OpenAI-compatible model serving. In practice the platform sensitivity comes entirely from the model serving (vLLM-IPEX: llm-scaler). To run on a different platform, simply deploy llm-scaler on that platform and point the microservice at its endpoint; nothing else changes.
Two platforms have been validated:
Intel® Core™ Ultra (Panther Lake, PTL 358H) with integrated GPU sharing system RAM — the on-device profile this Get Started guide is written around (no discrete accelerator or remote inference cluster required).
Intel® Xeon™ (e.g. GOLD 6530) + Intel® Arc™ Pro B60 Graphics — a discrete-GPU serving host.
Operating Systems
Ubuntu 24.04 LTS or later
Hardware — Platform #1: Intel® Core™ Ultra (PTL 358H), on-device iGPU
Intel® Core™ Ultra processor with integrated GPU (validated on Panther Lake, PTL 358H), sharing system RAM
At least 64 GB RAM — default deployment target for
Qwen3.5-35B-A3B(FP8, 60k context)At least 32 GB swap — so the model load and KV cache can spill under peak memory pressure
At least 128 GB disk space (model weights + Hugging Face cache)
Note: To fit smaller-memory hosts, lower
MAX_MODEL_LENor useawq/sym_int4quantization indocker/set_env.sh.
Hardware — Platform #2: Intel® Xeon™ + Intel® Arc™ Pro B60, discrete-GPU serving host
Intel® Xeon™ processor (validated on Intel® Xeon™ GOLD 6530)
Intel® Arc™ Pro B60 Graphics — multiple GPUs may be required to serve
Qwen3.5-35B-A3BAt least 64 GB RAM
At least 128 GB disk space (model weights + Hugging Face cache)
Note: On this platform, deploy vLLM-IPEX (llm-scaler) on the B60 host and point the microservice at its endpoint via
VLM_BASE_URL/LLM_BASE_URL.
Software Requirements#
Required Software:
Docker 24.0
Python 3.10
Validation#
Ensure all required software are installed and configured before proceeding to Get Started.