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NEO Digital

Fusion Server G5200 V7

Fusion Server G5200 V7

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rack: two half-width nodes each with dual Intel Xeon Scalable CPUs, 2× NVIDIA GPUs, 16 DDR4 slots (1 TB), NVMe boot, PCIe Gen4, redundant PSUs, BMC remote mgmt.


Overview

The FusionServer G5200 V7 packs two hot-swappable server blades into 2U. Each blade runs dual Intel® Xeon® Scalable CPUs alongside two NVIDIA GPUs. It delivers 1 TB DDR4 per node, M.2 NVMe boot, and PCIe Gen4 slots—ideal for AI inference, virtualization, and high-density edge.


Product Description

This chassis flexes on density and versatility:

  • Dual Server Blades: 2 hot-swap half-width nodes in 2U

  • CPUs per Node: 2× Intel® Xeon® Scalable (3rd-Gen)

  • GPUs per Node: 2× NVIDIA PCIe cards (A100/T4/V100)

  • Memory per Node: 16× DDR4-3200 DIMMs, up to 1 TB

  • Boot Storage: 2× M.2 NVMe per node

  • Expansion per Node: 2× PCIe Gen4 ×16 slots

  • Power: Shared dual 2000 W Platinum PSUs, N+1 redundant

  • Cooling: Hot-swap high-flow fans

  • Mgmt & Security: BMC IPMI/Web UI, TPM 2.0, chassis intrusion alert


Key Features

  • Dual-Node Design: Two servers in one 2U chassis

  • Hybrid Compute: CPU + 2 GPUs per blade for mixed workloads

  • 1 TB DDR4 per blade for data-heavy apps

  • NVMe Boot: M.2 bays for rapid OS load

  • PCIe Gen4: High-speed slots for NICs/accelerators

  • Redundant PSUs & Fans: Zero-downtime serviceability

  • Remote Ops: Full BMC control & monitoring


Specifications

Spec Detail
Form Factor 2U rack
Server Blades 2 hot-swap half-width nodes
CPUs (per Blade) 2× Intel® Xeon® Scalable (3rd-Gen)
GPUs (per Blade) 2× NVIDIA PCIe cards (A100/T4/V100)
Memory (per Blade) 16× DDR4-3200 DIMMs, up to 1 TB
Boot Bays (per Blade) 2× M.2 NVMe
Expansion (per Blade) 2× PCIe Gen4 ×16
Power Supplies 2× 2000 W Platinum (1+1 redundant)
Cooling Hot-swap high-flow fans
Network 1× 1 GbE BMC per blade; optional OCP for 10/25 GbE
Security TPM 2.0 per blade; chassis intrusion detection
Management BMC IPMI/Web UI/CLI
Dimensions 438 × 88.5 × 766 mm
Weight ~32 kg (full config)

Supported OS / Apps / Industries

  • OS: RHEL, Ubuntu, VMware ESXi, Windows Server

  • Apps: AI inference, virtualization, HPC, edge services

  • Industries: Cloud, finance, telecom, enterprise IT


Benefits & Compatibility

  • High Density: 2 nodes in 2U saves rack space

  • Balanced Power: CPU + GPU per blade for hybrid tasks

  • Fast Boot: NVMe for instant OS & scratch storage

  • Future-Ready I/O: PCIe Gen4 for latest cards

  • Nonstop Uptime: Redundant PSUs/fans & enterprise RAS

  • Easy Management: Out-of-band BMC for firmware, BIOS, health


Purpose of Use

Perfect for AI/ML inference clusters, VDI farms, micro-service blades, and converged CPU+GPU workloads in dense environments.


How to Use

  1. Rack-mount the 2U chassis.

  2. Slide in each server blade and connect its BMC LAN.

  3. Populate CPUs, GPUs, memory, and M.2 drives per blade.

  4. Install I/O cards in blade PCIe slots.

  5. Power on and configure via BMC console.

  6. Deploy OS, hypervisor, or AI frameworks.


Packaging / Weight / Dimensions

  • Dimensions: 438 × 88.5 × 766 mm (2U)

  • Weight: ~32 kg (full config)

  • Includes: Chassis, blades, power cords, rail kit


Warranty & FAQs

Warranty: 3 years next-business-day support.
FAQs:

  • Q: Are blades hot-swappable?
    A: Yes, you can swap each blade under power.

  • Q: Total GPU count?
    A: 4 GPUs (2 per blade).


Performance & Reliability

Built with enterprise-grade parts and advanced RAS. Hot-swap modules and proactive health monitoring ensure 24/7 uptime.


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Shop Today & UAE Delivery

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Customer Reviews & Testimonials

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After-Sales Support

24/7 expert help via chat, email, or phone. From blade setup to GPU tuning, we’ve got you.


Get in Touch

Need custom configs or quotes? Hit us up via live chat, email, or phone. We’re here 🤙.


Stock Availability

This hybrid model moves fast. Contact us to confirm availability before checkout.


Disclaimer

All specs and info subject to change without notice. Images are illustrative. Confirm details with our sales team before purchase.

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