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Meta Brain NF5180G7 1U Rack Server

Meta Brain NF5180G7 1U Rack Server

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1U rack server with dual Intel® Xeon®, 2× GPU slots, 4× NVMe bays & redundant PSU. Compact AI/HPC powerhouse. Shop UAE now.


Overview

The Meta Brain NF5180G7 squeezes GPU power into a slim 1U frame. Dual 3rd Gen Intel® Xeon® CPUs pair with two full-height GPU bays and four hot-swap NVMe bays. It’s built for edge AI, inference workloads, and GPU-rendering in space-tight racks. High density meets efficiency.


Product Description

This 1U rackmount server merges CPU and GPU acceleration. It supports two NVIDIA A100 or A30 GPUs alongside dual Xeon® Scalable processors (up to 32 cores each). Four front-accessible 2.5″ NVMe/SATA bays deliver ultra-fast storage tiers. A single redundant 1200 W Platinum PSU plus adaptive fans ensures uptime. IPMI 2.0 with Redfish API provides remote firmware updates, power control, and real-time telemetry. Ideal for AI inference nodes, micro-clouds, and GPU-accelerated edge computing.


Key Features

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

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

  • 4× front hot-swap NVMe/SATA bays

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

  • 4× front hot-swap fans with smart speed control

  • 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: 4× 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

  • OS: Ubuntu, RHEL, SUSE, VMware ESXi

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

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


Benefits & Compatibility

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

  • NVMe cache tiers cut I/O bottlenecks

  • Redundant PSU and fans ensure nonstop uptime

  • Certified for major AI frameworks and OS

  • Easy integration with container and orchestration platforms


Purpose of Use

Perfect for deploying compact GPU inference nodes, real-time rendering servers, and distributed AI workloads where rack space is at a premium.


How to Use

  1. Install on 19″ 1U rails.

  2. Slot in CPUs, memory, and GPUs.

  3. Add NVMe drives for OS and datasets.

  4. Boot via IPMI virtual media to install software.

  5. Monitor and manage via Redfish dashboard.

For setup help, contact our support team.


Packaging / Weight / Dimension

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

  • Weight: ~22 kg (with rails)

  • Packaging: Anti-static foam, sturdy carton

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


Warranty and FAQs

  • Warranty: 1-year NEOTECH limited warranty

  • FAQs:

    • Q: Which GPUs are supported?
      A: NVIDIA A100 & A30 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.


Performance, Quality, Durability & Reliability

Engineered for 24/7 edge and AI inference, it maintains cool operation under full GPU load. Enterprise-grade parts 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 NF5180G7 delivered on time 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 post-purchase.


Get in Touch

For quotes, stock checks, or custom configs, reach 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 info is for general reference and may change without notice. Images are illustrative and may differ from the actual product. Verify specs, pricing, and availability with our sales team before purchase.

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