1U rack server w/ dual Intel® Xeon®, 2× GPU bays, 4× NVMe slots & redundant PSU. Compact AI inferencing powerhouse. Shop UAE now.
Overview
Say hello to the Meta Brain NF5180A6—a next-level 1U rack server that packs dual Intel® Xeon® Scalable CPUs plus two full-height GPU bays into a slim chassis. Perfect for edge AI, real-time inference, and micro-cloud nodes, it delivers epic compute density without hogging rack space.
Product Description
This 1U beast blends CPU and GPU power seamlessly. You get two Xeon® Scalable processors (up to 32 cores each) alongside two NVIDIA-grade GPU bays (A30/A100 compatible). Four front-hot-swap NVMe/SATA bays let you tier storage like a pro. A single 1200 W Platinum PSU (1+1 redundant ready) and adaptive smart fans ensure nonstop operation. Remote ops are a breeze via IPMI 2.0 and Redfish API for firmware updates, health checks, and power cycling. It’s literally the go-to for compact AI clusters and GPU-accelerated edge setups.
Key Features
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dual Intel® Xeon® Scalable CPUs (up to 64 cores total)
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2× full-height GPU slots (NVIDIA A30/A100)
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4× 2.5″ hot-swap NVMe/SATA bays
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1× 1200 W Platinum PSU (redundant ready)
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4× front smart-fan modules
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dual 10 GbE onboard LAN + OCP 3.0 slot
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IPMI 2.0 & Redfish API for remote control
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ultra-compact 1U, 19″ rack form factor
Specifications
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CPUs: 2× Intel® Xeon® Scalable (max 32 cores, 3.8 GHz)
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Memory: 8× DDR4 ECC DIMM slots (max 1 TB)
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GPU Bays: 2× PCIe Gen4 x16 full-height
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Storage: 4× NVMe/SATA hot-swap bays
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Network: 2× 10 GbE RJ45; OCP 3.0 mezzanine
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PSU: 1× 1200 W Platinum (1+1 redundant)
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Chassis: 1U (482×43.7×700 mm)
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Mgmt: IPMI 2.0, Redfish API
Supported OS / Applications / Industries
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OS: Ubuntu, RHEL, SUSE, VMware ESXi
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Apps: AI inference, GPU rendering, containerized ML, edge analytics
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Industries: Edge computing, media studios, fintech, research labs
Benefits & Compatibility
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insane GPU density in 1U saves rack space
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NVMe cache tiers slash I/O lag
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redundant PSU & fans guarantee uptime
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certified for major AI frameworks & OS
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integrates smoothly with Kubernetes/ML stacks
Purpose of Use
Perfect for deploying compact AI inference nodes, real-time rendering servers, and distributed ML workloads where every RU counts.
How to Use
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rack-mount on 19″ 1U rails
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slot in CPUs, memory & GPUs
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add NVMe drives for OS/data
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boot via IPMI virtual media to install your software
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monitor health & firmware via Redfish
Need help? Hit up our support squad anytime.
Packaging / Weight / Dimension
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Dimensions: 482×43.7×700 mm (W×H×D)
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Weight: ~22 kg (with rails)
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Packaging: anti-static foam & sturdy carton
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Includes: power cables, rail kit, quick-start guide
Warranty and FAQs
Performance, Quality, Durability & Reliability
Built for 24/7 GPU ops, it stays chill under full load. Enterprise-grade parts + redundant design = 99.99% uptime for mission-critical stacks.
Best Price Guarantee
Spotted a lower price in the UAE? We’ll match it. NEOTECH locks in the best deal plus local support and next-day delivery.
Shop Today & Receive Your Delivery Across the UAE!
Fast, secure shipping to Dubai, Abu Dhabi, Sharjah, Ajman & beyond. Get your NF5180A6 server on site lightning fast.
Request for Customer Reviews and Testimonials
Deployed the NF5180A6? Drop a quick review to help others level up their AI infra.
After Sales Support
24/7 remote diagnostics, firmware updates & hassle-free RMA. Our pros keep your rig running peak.
Get in Touch
For quotes, stock checks or custom configs, contact NEOTECH support. We’ve got your back.
Stock Availability
Check live stock before ordering. Standard builds ship immediately; custom setups take 10–15 working days.
Disclaimer
All info’s for general use and may change without notice. Images are illustrative and might not match the final product. Verify specs, pricing & availability with our sales team before buying.
