Metrici UltraSYS-AI Server

Product Overview — Ultra-Performance AI Server for Vision Analytics

Welcome! This is a short overview of the Metrici UltraSYS-AI — the ultra-performance tier of the Metrici AI Server family. It is a pre-configured, on-premise appliance that ships with Ubuntu and the Metrici detection engines already installed. This page covers the key specifications, where the model fits in the lineup, what it runs, and how to bring it online.

Introduction
Technical Data
What It Runs
Setup & Operation
Support & Resources

1. Introduction

The Metrici UltraSYS-AI is the ultra-performance, enterprise-grade tier of the Metrici AI Server family. Built around a 16-core AMD Ryzen 9 processor and a high-end Nvidia RTX 5070 TI GPU, it is made for large-scale deployments that run many heavy Metrici engines across a high camera count at the same time.

The unit is delivered as a ready-to-use appliance: the operating system and Metrici engines are pre-installed, so no software setup is required on site. The engines are then customised for the specific deployment — adding cameras, configuring detection parameters, and completing setup in the Metrici Web Interface. All processing happens locally on the unit; no data has to leave your premises.

At a Glance

Processor

AMD Ryzen™ 9 9950X · 4.3 GHz

Graphics (GPU)

Nvidia RTX 5070 TI · 16 GB

AI Acceleration

Nvidia Tensor Cores (GPU)

Camera Capacity

Up to 16 cameras

Memory / Storage

32 GB DDR5 · 1 x 1 TB SSD plus 1 x 8 TB HDD

Operating System

Ubuntu 24.04 LTS

The Server Range

Metrici AI Servers come in four tiers, from a compact edge device to a data-center-scale platform. UltraSYS-AI sits in the ultra-performance tier — an enterprise-grade build for large-scale, multi-engine deployments such as logistics, ports, and multi-gate operations.

MicroSYS

→

MidSYS

→

HighSYS

→

UltraSYS

Each tier is pre-validated with Metrici software before delivery, and the architecture is designed to scale — you can move up to a higher tier as a deployment grows. If you are unsure which model fits, Metrici’s team sizes the system based on your cameras, engines, and expected workload.

2. Technical Data

The full specification of the UltraSYS-AI as delivered:

Specification	Details
Architecture	INTEL, AMD x86_64
Processor (CPU)	1 × AMD Ryzen™ 9 9950X, 4.3 GHz
Processing units	16 cores / 32 threads
GPU	1 × Nvidia RTX 5070 TI, 16 GB
AI accelerator	Nvidia Tensor Cores (GPU)
Performance	Up to 16 cameras, depending on workload type
RAM memory	32 GB DDR5
Storage	1 x 1 TB SSD plus 1 x 8TB HDD
Networking	1 × Ethernet 10 / 100 / 1000 Mbps
Graphics	Discrete, HDMI output
Format	Cube case, 34 × 32 × 43 cm
Power source	1 × 850 W
Operating system	Linux Ubuntu 24.04 LTS

Note: AI acceleration on the UltraSYS-AI is handled entirely by the Nvidia RTX 5070 TI’s Tensor Cores. This is an AMD + Nvidia platform, so there is no Intel NPU on this tier — the GPU does all of the deep-learning work, and its 16 GB of memory gives room for more engines and higher-resolution streams. Sustained camera throughput still depends on the mix of engines running; see the next chapter.

3. What It Runs

The UltraSYS-AI is configured to run any combination of Metrici detection engines at the same time, and its high-end GPU and larger memory let it sustain many heavy engines and cameras together. Common engines include:

Metrici LPR — licence-plate recognition with multi-country support and vehicle classification.
Metrici PPD — parking-place detection for garages, structures, and open lots.
Metrici Thermal Analyzer — AI thermal analysis for monitoring and predictive maintenance.
Metrici Area / Line Counter — people and object counting.
QR Code & Container Code recognition, and other custom AI workloads.

The unit supports up to 16 cameras. The exact number it can drive comfortably depends on the engine mix, frame rates, and detection load — a single light engine reaches the upper figure more easily than several heavy engines running together.

Sizing tip: If you are planning several engines on the same unit, share your camera count, engine list, and expected traffic with Metrici. The team will confirm whether UltraSYS-AI is the right tier or recommend a step up.

4. Setup & Operation

The UltraSYS-AI arrives ready to use. To bring it online for the first time:

Place the unit on a clean, flat, well-ventilated surface (see Placement).
Connect the network cable to the Ethernet port.
Connect a display to the HDMI output if needed. The unit can also run headless.
Connect the unit to mains power using the supplied power cable, then switch on the power supply.
Power the unit on.

The operating system completes boot within roughly 30–60 seconds, and the Metrici engines start automatically as background services. The unit’s IP address is either pre-configured by Metrici before shipping (documented in the delivery note) or obtained from your network by DHCP. From there, configuration is completed in the Metrici Web Interface.

Placement & Ventilation

Install the unit on a stable surface in a well-ventilated area, away from direct sunlight, heat sources, and high-dust environments. Leave clearance around the chassis so air can move freely through the vents, and avoid enclosed cabinets without active ventilation. Because this tier pairs a high-core-count CPU with a high-end discrete GPU, it produces significant heat under load, so a cool location and unobstructed airflow are especially important.

Important! Do not block the chassis vents. Operating the server with restricted airflow will cause the processor and GPU to thermally throttle — reducing performance — and may shorten product lifetime.

5. Support & Resources

For configuration help, system sizing, or a quote for the right server tier, contact the Metrici team. The product datasheet and CE declaration are linked in the sidebar under Resources.

Web: www.metrici.ro
Sales: sales@metrici.ro
Support: support@metrici.ro