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NVIDIA H100/H200/B200/B300 PCIe GPUs Full Compute Power for Research, Academia & Enterprise AI

Long-term in-stock supply, professional operation and maintenance + genuine repair & maintenance services. Customized computing solutions on demand to help enterprises achieve optimal computing cost efficiency!
Brand-New/Unpacked PCIe GPUs
B200 GPU
Entry-level model with Blackwell architecture, the first choice for large-scale AI training
Blackwell
Architecture
192GB HBM3e
Video Memory
TSMC 4NP
Manufacturing Process
Exclusive SXM→PCIe Modification
Interface
000W (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
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B300 GPU
Flagship model with 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 Modification
Interface
1100W (Liquid Cooling Required)
TDP
50% boost in FP4 dense computing power, 12-layer HBM3e video memory, NVLink NVL72
Key Features
Large-scale model inference, trillion-parameter model training, high-bandwidth demand scenarios
Application Scenarios
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H100 GPU
Classic model with 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-gen Tensor Core
Key Features
Regular AI training, large model inference, small and medium-sized clusters
Application Scenarios
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H200 GPU
Upgraded Hopper architecture model with 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" issue with HBM3e video memory
Key Features
Medium and large model inference, large model fine-tuning, upgrade of existing Hopper clusters
Application Scenarios
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Brand-New/Unpacked 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
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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
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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 (MCX755106AS-HEA)
Network Card
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B200 Complete Server
SYS-A22GA-NBRT (10UX14 HGX 8GPU (Rear I/O), X14DBG-DAP, CSE-GP100ITS)
Barebone System
P4X-GNR6960P-SRPKX-UCC
CPU
Samsung 96G 6400 DDR5
Memory
Samsung PM9A3 2.5-inch 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 Card1
QXG-25G2SF-CX6
Network Card1
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5090 Liquid-Cooled Servers

ower 5090 Liquid-Cooled 4-GPU Workstation

Custom Chassis 260*660*560mm(WHD)

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 liquid cooling kit *2

Power Supply:2000W*2

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6U Rack-Mounted 5090 Liquid-Cooled 8-GPU Workstation

6U 8-GPU Direct Connection

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

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Comparison Dimension
Tower 5090 Liquid-Cooled 4-GPU Workstation
6U Rack-Mounted 5090 Liquid-Cooled 8-GPU Workstation
Application Scenarios
Small and medium AI tasks, 4K-8K rendering, university scientific research, personal studio experiments
Enterprise-level large model R&D, 8K industrial rendering, supercomputing clusters, large-scale computing power deployment
System Configuration
2 Xeon CPUs + 4*5090 GPUs, 512G memory, 2TB NVME; Tower chassis, liquid + air cooling, total power consumption ~2000W
2 Xeon 6530 CPUs + 8*5090 GPUs, 1TB memory, 8.64TB storage; 6U rack-mounted, cold plate liquid cooling, high power consumption
Adapted Software
Ubuntu/Windows, CUDA 11.7+, PyTorch/TensorFlow, professional tools + basic monitoring
Ubuntu Server, CUDA 12.5+, distributed framework, cluster software + scheduling and monitoring system
Key Performance Metrics
SD XL training ~120 hours, AlphaFold2 analysis ~22 hours, 2-3x rendering efficiency boost
SD XL training ~72 hours, 3x 8K rendering efficiency boost, 3x+ large model iteration efficiency boost
Customized Servers
We provide disassembly, modification and configuration services for servers of any brand and model.
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