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GPU Cloud Server Rental

Easier cloud instances, full-range high-end GPUs, best value nationwide.

GPU Hardware Procurement

In stock, no wait! GPU repair with official warranty, worry-free service!

GPU Graphics Card Repair

Professional GPU server hardware repair, fast & reliable service for worry-free operation.

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Free access to A100/4090 GPUs, experience ultra computing power ahead.

GPU Cloud Server Rental

Cloud-Native Computing Power Infrastructure.Optimized for AI training, rendering, general computing and inference. Unleash full performance on demand, pay-as-you-go, instant provisioning.Starting at ¥1.85/hour!

  • 快速创建

    Fast Deployment

    Launch a new instance in just 30 seconds

  • ≥99.9%历史正常运行时间

    ≥99.9%

    Historical Uptime

  • 按需付费

    Pay-as-you-go

    Pay only for the services you actually use

  • 数据存储

    Scalable Data Storage

    Independent expandable disks for secure data storage

GPU Bare Metal Rental

No virtualization overhead - Bare metal servers unlock 100% of GPU/CPU performance, the ultimate choice for enterprise computing power! Support physical server migration!

按需付费 Dedicated Physical GPU
按需付费 No Virtualization Overhead
按需付费 100% Uncompromised Computing Power
按需付费 Physical Isolation & Security
按需付费 Compatible with High-End GPUs & Clusters
按需付费 Strong Elastic Scalability

NVIDIA RTX 5090 (32G) 8-GPU

Stock 56 Units

GPU: NVIDIA GeForce RTX 5090 (32G) *8

CPU: Intel Xeon 6530 (32-core)

Memory: 1024GB

Bandwidth: 50M Shared

Data Disk:15728GB System Disk:960GB
Get Latest Pricing Now

NVIDIA A100-PCIE (40G) 8-GPU

Stock 80 Units

GPU: NVIDIA A100-PCIE (40G) *8

CPU: Intel Xeon 6248R (48-core)

Memory: 768GB

Bandwidth: 50M Dedicated

Data Disk:15728GB System Disk:960GB
Get Latest Pricing Now

NVIDIA H100-SXM (80GB) 8-GPU

Stock 128 Units

GPU: NVIDIA H100-SXM( 80G) * 8

CPU: Intel Xeon 8468 (96-core)

Memory: 2048GB

Bandwidth: 300M Shared

Data Disk:15728GB System Disk:960GB
Get Latest Pricing Now

NVIDIA H200-SXM (141GB) 8-GPU

Stock 256 Units

GPU: NVIDIA H200-SXM (141G) *8

CPU: Intel Xeon 8558 (96-core)

Memory: 2048GB

Bandwidth: 300M Shared

Data Disk:15728GB System Disk:960GB
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GPU Hardware Procurement

Brand New / Open-Box PCIe Graphics Cards
B200 Graphics Card
Entry-level Blackwell Architecture - The first choice for large-scale AI training
Blackwell
Architecture
192GB HBM3e
Video Memory
TSMC 4NP
Manufacturing Process
Exclusive SXM→PCIe Conversion
Interface
1000W (Liquid Cooling Required)
TDP
Supports FP4/FP8 new precision, dual-chip structure, 192GB large video memory
Key Features
Large-scale AI training, multi-modal AI tasks, highly scalable clusters
Application Scenarios
B300 Graphics Card
Flagship Blackwell Ultra Architecture - The pinnacle of large model inference and scalability
Blackwell Ultra
Architecture
288GB HBM3
Video Memory
TSMC 4NP
Manufacturing Process
Exclusive SXM→PCIe Conversion
Interface
1100W (Liquid Cooling Required)
TDP
50% FP4 dense computing power improvement, 12-layer HBM3e video memory, NVLink NVL72
Key Features
Large-scale model inference, trillion-parameter model training, high-bandwidth demand scenarios
Application Scenarios
H100 Graphics Card
Classic Hopper Architecture - The first choice for regular AI tasks
Hopper
Architecture
80GB HBM3
Video Memory
TSMC 4nm
Manufacturing Process
PCIe 5.0 x16
Interface
350W
TDP
Supports FP8 mixed precision computing, 4th generation Tensor Core
Key Features
Regular AI training, large model inference, small and medium-sized clusters
Application Scenarios
H200 Graphics Card
Upgraded Hopper Architecture - Enhanced video memory and bandwidth
Hopper
Architecture
141GB HBM3e
Video Memory
TSMC 4nm
Manufacturing Process
PCIe 5.0 x16
Interface
350W
TDP
Inherits H100's FP8 support, solves the large model "memory wall" problem with HBM3e video memory
Key Features
Medium and large model inference, large model fine-tuning, existing Hopper cluster upgrade
Application Scenarios
Brand New / Open-Box GPU Servers
H100 Complete Server
Supermicro SYS-821GE-TNHR
NVIDIA 8*H100 80GB SXM5
GPU
8558(48C,2.1GHz 330W)*2
CPU
64G DDR5-4800*32
Memory
7.68T NVMe*1
Data Disk
960G SSD*1
System Disk
Single-port 400G *1
IB Card
2-port 10G*1
Network Card
3000W*6
Power Supply
H200 Complete Server
Supermicro SYS-821GE-TNHR
NVIDIA 8*H200 141GB SXM5
GPU
8558(48C,2.1GHz 330W)*2
CPU
64G DDR5-4800*32
Memory
7.68T NVMe*1
Data Disk
960G SSD*1
System Disk
Single-port 400G *1
IB Card
2-port 10G*1
Network Card
3000W*6
Power Supply
B300 Complete Server
B300 NVL8 AC (935-26287-0070-000)
GPU
Intel Xeon 6767P,2.4G,336M Cache,64C/128T(350W) (PK8072006269900)
CPU
64GB 6400 DIMM (M321R8GA0EB2-CCP)
Memory
Samsung PM9D3a 3.84TB E1.S (MZTL3T8HFLT-00AW7)
Data Disk
Hynix 1.92T 2280 SSD (HFS1T9GEJ8R176N)
System Disk
NVIDIA ConnectX-7 Dual-Port 200GbE/IB QSFP112 PCIe Adapter
Network Card
B200 Complete Server
SYS-A22GA-NBRT(10UX14 HGX 8GPU (Rear 1/0),X14DBG-DAP,CSE-GP100ITS )
Chassis
P4X-GNR6960P-SRPKX-UCC
CPU
Samsung 96G 6400 DDR5
Memory
Samsung PM9A3 2.5 寸 NVMe 3.84TB SSD (PCIe Gen4) MZQL23T8HCLS-00A07
Data Disk
Samsung PM9A3 960GB NVMe PCIe4x4 U.27mm 1DWPD SYR SED Opal
System Disk
NVIDIA ConnectX-7 400GbE
Network Card 1
QXG-25G2SF-CX6
Network Card 2
5090 Liquid-Cooled Servers

Tower 5090 Liquid-Cooled 4-GPU Workstation

Custom Chassis: 260*660*560mm

CPU: Intel Xeon Gold 6530 *2

Memory: 32GB/DDR5 *8

System Disk: 960GB SATA *1

GPU: 5090 32G *4

Liquid Cooling Kit: 1-to-2 integrated cold plate cooling kit *2

Power Supply: 2000W *2

Tower 5090 Liquid-Cooled 4-GPU Workstation

6U 8-GPU Direct Connection Liquid-Cooled Server

CPU: Intel Xeon Gold 6530 (32Core, 2.1GHz) *2

Memory: 32GB/DDR5 *16

System Disk: 960GB SATA *1

Data Disk: 3.84T *1

GPU: 5090 32G *8

Power Supply: 2600W *4

Accessories: CPU cold plate *2, GPU cold plate *8, water separator *2, quick connector *20, EPDM pipeline *1 set, 16KW rack-mounted air-liquid CDU *1

Aspect
Tower 5090 Liquid-Cooled 4-GPU Workstation
6U Rack-Mounted 5090 Liquid-Cooled 8-GPU Server
Application Scenarios
Small and medium AI tasks, 4K-8K rendering, university research, personal studio experiments
Enterprise-level large model R&D, 8K industrial rendering, supercomputing clusters, large-scale computing power deployment
Configuration
2x Xeon CPU + 4x 5090 GPUs, 512G memory, 2TB NVMe; Tower chassis, liquid + air cooling, total power consumption ~2000W
2x Xeon 6530 + 8x 5090 GPUs, 1TB memory, 8.64TB storage; 6U rack-mounted, cold plate cooling, high power consumption
Adapted Software
Ubuntu/Windows, CUDA 11.7+, PyTorch/TensorFlow, professional tools + basic monitoring
Ubuntu Server, CUDA 12.5+, distributed frameworks, cluster software + scheduling and monitoring system
Performance Metrics
SD XL training ~120 hours, AlphaFold2 analysis ~22 hours, 2-3x rendering efficiency improvement
SD XL training ~72 hours, 3x 8K rendering efficiency improvement, 3x+ large model iteration efficiency improvement
Customized Servers
定制服务器 定制服务器 定制服务器

GPU Server Maintenance

GPU服务器维修

AI Application Industry Scenarios

In the rapidly developing field of artificial intelligence, building super AI applications requires not only powerful computing resources and advanced large model technology, but also in-depth understanding of the needs of specific industry scenarios to achieve efficient and accurate application design.

  • AI + Assistant

    ai应用场景缩略图

    AI Health Assistant

    Customized health advice and lifestyle improvement plans. Analyze personal living habits, eating habits and exercise frequency. Provide personalized health improvement suggestions. Help maintain and improve personal health levels.

    View Case Studies →
  • AI + Data

    ai应用场景缩略图

    AI Data Collection

    In the fully connected era, data acquisition is easier but identification is more challenging. Our AI collection system can automatically collect, organize and analyze network information, providing real-time clues and data support for daily work and model training.

    View Case Studies →
  • AI + Tools

    ai应用场景缩略图

    AI Material Generation Tool

    A game-changer for the creative industry including advertising, film production and game development. Generate or edit visual and audio materials with one click based on user needs. Realize rapid secondary creation based on AI-generated materials. Improve creative efficiency and reduce production costs

    View Case Studies →
  • AI + Customer Service

    ai应用场景缩略图

    AI + Customer Service

    AI Intelligent Customer Service System,24/7 instant response service,Understand user needs through large model technology,Provide accurate answers and solutions,Handle a large number of concurrent consultations,Significantly improve customer satisfaction and enterprise service efficiency

    View Case Studies →

Strategic Cooperation Partners

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  • 捷智算联系人