Meta Brain NF5170G7 1U Rack Server

1U rack server with dual Intel® Xeon®, 2× GPU bays, 2× NVMe bays & redundant PSU. Edge-AI ready. Shop UAE now.

Overview

The Meta Brain NF5170G7 packs GPU acceleration into a sleek 1U chassis. Dual 3rd Gen Intel® Xeon® CPUs team with two full-height GPU slots and two hot-swap NVMe bays. Built for edge AI inference, micro-cloud nodes, and GPU-driven rendering, it delivers high compute density where rack space is tight.

Product Description

This 1U powerhouse blends CPU and GPU performance. It supports two NVIDIA A30/A100 GPUs alongside dual Xeon® Scalable processors (up to 32 cores each). Two front-accessible 2.5″ NVMe/SATA bays accelerate I/O, while a single 1200 W Platinum PSU with N+1 redundancy guarantees uptime. IPMI 2.0 and Redfish API enable remote firmware updates, health monitoring, and power cycling. Ideal for compact AI clusters and GPU-accelerated edge deployments.

Key Features

• Dual full-height GPU slots (NVIDIA A30, A100 compatible)

• Dual 3rd Gen Intel® Xeon® Scalable CPUs (up to 32 cores/CPU)

• 2× 2.5″ hot-swappable NVMe/SATA bays

• Redundant 1× 1200 W Platinum PSU (1+1 ready)

• 4× front smart-fan modules with adaptive speed

• Dual 10 GbE onboard LAN + OCP 3.0 expansion slot

• Remote management via IPMI 2.0 & Redfish API

• Ultra-compact 1U, 19″ rack form factor

Specifications

• Processors: 2× Intel® Xeon® Scalable (max 32 cores, 3.8 GHz)

• Memory: 8× DDR4 ECC DIMM slots (up to 1 TB)

• GPU Bays: 2× PCIe Gen4 x16 full-height slots

• Storage Bays: 2× NVMe/SATA hot-swap

• Network: 2× 10 GbE RJ45; OCP 3.0 mezzanine

• PSU: 1× 1200 W Platinum (redundant ready)

• Chassis: 1U (482 × 43.7 × 700 mm)

• Management: IPMI 2.0, Redfish API

Supported OS / Applications / Industries

• Operating Systems: Ubuntu, RHEL, SUSE, VMware ESXi

• Applications: AI inference, GPU rendering, containerized ML, edge analytics

• Industries: Edge computing, media production, fintech, research labs

Benefits & Compatibility

• High-density GPU compute in 1U conserves rack space

• NVMe cache tiers cut I/O latency

• Redundant PSU and fans ensure nonstop uptime

• Certified for major AI frameworks and OS

• Seamless integration with Kubernetes and ML pipelines

Purpose of Use

Perfect for deploying compact AI inference nodes, real-time rendering servers, and distributed ML workloads in space-constrained environments.

How to Use

1. Rack-mount on 19″ 1U rails.

2. Slot in CPUs, memory, and GPUs.

3. Insert NVMe drives for OS and datasets.

4. Boot via IPMI virtual media to install software.

5. Monitor health and firmware via Redfish.

Need help? Contact our support team anytime.

Packaging / Weight / Dimension

• Dimensions: 482 × 43.7 × 700 mm (W×H×D)

• Weight: ~22 kg (with rails)

• Packaging: Anti-static foam and sturdy carton

• Includes: Power cables, rail kit, quick-start guide

Warranty and FAQs

• Warranty: 1-year NEOTECH limited warranty

• FAQs:

  • Q: Which GPUs fit?
    A: NVIDIA A30 and A100 series.

  • Q: Max memory?
    A: Up to 1 TB DDR4 ECC.

  • Q: Lead time?
    A: Stock models ship in 3–5 days.

  • Q: Remote console?
    A: Available via IPMI & Redfish.

Performance, Quality, Durability & Reliability

Engineered for 24/7 GPU workloads, it stays cool under full load. Enterprise-grade components and redundant design deliver high MTBF and minimal downtime.

Best Price Guarantee

Spotted a lower price in the UAE? We’ll match it. NEOTECH guarantees the best deal, local support, and next-day delivery.

Shop Today & Receive Your Delivery Across the UAE!

Fast, secure shipping across Dubai, Abu Dhabi, Sharjah, Ajman, and beyond. Get your NF5170G7 delivered promptly via our trusted logistics network.

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After Sales Support

24/7 remote diagnostics, firmware updates, and hassle-free RMA service. Our experts keep your server optimized long after purchase.

Get in Touch

For quotes, stock checks, or custom configs, contact NEOTECH support. We’ve got your back.

Stock Availability

Confirm real-time stock before ordering. Standard builds ship immediately; custom setups may require 10–15 working days.

Disclaimer

All information is for reference and may change without notice. Images are illustrative and may not match the actual product. Verify specs, pricing, and availability with our sales team before purchase.