Neogenint Intelligence
GPU SERVERSGPU Computing

Computing density,
redefined.

Full NVIDIA and AMD GPU support. Standard and high-density configurations, air and liquid cooling options — a reliable platform for AI training, inference, and scientific computing.

10cards/3U
High density
67%
Space efficiency gain
NVIDIA
AMD supported
24/7
Stable operation
Zhuhai · HengqinScroll
§ 001Overview

Professional Solutions

GPU COMPUTING

Full range of GPU computing servers supporting mainstream brands including NVIDIA and AMD. Optimized design ensures high performance alongside reliable operation.

Whether for AI model training, inference services, scientific computing, or graphics rendering, we provide professional customized solutions — including both standard and high-density configurations, with air and liquid cooling options.

  • 01High-Performance
    NVIDIA/AMDFull support
  • 02Flexible config
    CPU+RAMCustomizable
  • 03Efficient cooling
    风冷/液冷Multiple options
  • 04Enterprise grade
    24/7Uptime
§ 002Portfolio

Three
options.

Choose the right configuration for your use case and scale. From prototyping to large-scale deployment, we have the solution.

/ AEntry

Standard GPU Server

4–8 GPU cards on a dual-CPU platform. Ideal for small to medium-scale AI training and inference — easy to deploy with a low barrier to entry.

4–8GPU cards
512GB RAM max
4Uchassis
Inquire
/ BFlagship

High-Density GPU Server

10 GPU cards in 3U — 67% higher density than standard. Significantly lower rack and power TCO for large-scale AI training and inference.

10GPU cards
+67% density
3Ucompact
Inquire
/ CCustom

ODM / OEM Services

Fully customizable design with brand labeling and volume production. End-to-end support from prototype to mass production.

Fullcustom design
OEMbrand labeling
Vol.production
Inquire
Selection Guide

Standard: Ideal for prototyping and small to medium-scale AI training. Easy to deploy with low barriers.

High-Density: Best for large-scale deployment. 67% more compute per space, significantly reducing TCO.

ODM/OEM: For enterprise customers requiring brand customization and volume production.

§ 003Flagship

10 GPUs in
3U space.

Unlike traditional 4U/8-card servers, Neogenint uses efficient cooling technology to support 10 full-size compute cards in 3U space — increasing rack density while reducing infrastructure and power costs.

Comparison
Metric
Traditional
Neogenint
  • Space efficiency
    4U/8卡
    3U/10卡+25%
  • Compute per space
    100%
    167%+67%
  • Total cost
    基准
    降低-20%

67% more compute per unit space means you can deploy more computing resources in the same rack — significantly reducing total cost of ownership.

§ 004Use Cases

Where it's
used.

From AI R&D to scientific computing, GPU servers provide a reliable platform for compute-intensive tasks.

  • 01

    AI Model Training

    Large-scale deep learning model training with latest-generation GPU support.

  • 02

    Inference Services

    High-concurrency AI inference deployment with low latency and reliable performance.

  • 03

    Scientific Computing

    Scientific research and engineering simulation meeting high-performance computing needs.

  • 04

    Graphics Rendering

    High-performance graphics and video processing accelerating content creation.

§ 005Silent Series

QuietS
-3U12.

High-Density Silent Computing Server

QuietS-3U12 High-Density Silent Computing Server

High-density silent computing server with standard two-phase cooling system, PUE≤1.08, fanless 3500W redundant power supply, full load noise ≤65dB. 3U height, up to 12 PCI-E intelligent computing cards/GPUs, widely applicable to various types of high-performance computing, saving approximately 45% of electrical energy for data centers.

Specifications
  • Standard two-phase cooling system, PUE≤1.08
  • Fanless 3500W redundant power supply
  • Full load noise ≤65dB
  • 3U height · Up to 12 PCI-E intelligent computing cards/GPUs
  • Widely applicable to various types of high-performance computing

Saves approximately 45% of electrical energy for data centers

§ 003Inquiry

Get a
quote.

GPU server configuration needs customization based on your needs. Fill out the form, our team will respond within 24 hours.

What we need

  • Computing task type
  • GPU model and quantity
  • CPU, memory, storage
  • Cooling preference
§ 007What's next

Ready to deploy
GPU servers?

GPU server configuration needs to be customized based on your specific use case. Contact us for detailed configuration plans and pricing.

Zhuhai · HengqinGPU SERVERS · NEOGENINT — 2026lane_nie@neogenint.com