4U Multi-GPU AI Server
A configurable multi-GPU platform for AI training, inference and high-performance computing.
- Multi-GPU configuration subject to platform and GPU model
- Dual-socket server CPU options
- ECC server memory
Connecting global procurement through Hong Kong, backed by configuration, assembly, testing and volume delivery capabilities in Mainland China.
Our initial catalog focuses on key categories. Brands, models, quantities and lead times are confirmed through a formal RFQ.
Multi-GPU platforms for training, inference and HPC.
→General compute, virtualization, storage and workstations.
→CPU, GPU, memory, SSD, RAID, HBA and network adapters.
→Motherboards, power, cooling, chassis and peripherals.
→Product pages focus on configuration, compatibility and delivery terms rather than quickly outdated fixed pricing.
A configurable multi-GPU platform for AI training, inference and high-performance computing.
An enterprise compute platform balancing rack density with GPU acceleration.
A general-purpose server for virtualization, databases, enterprise applications and storage services.
A workstation for local AI development, content creation and engineering compute.
Enterprise processor and accelerator RFQs by brand, full part number, condition, quantity and destination.
Procurement of ECC memory, enterprise SSDs, HDDs and related storage components.
Elastic compute capacity for AI training, fine-tuning, inference, and HPC workloads. Offering flexible monthly and annual terms in Hong Kong and mainland data centers.
100% physical isolation with zero virtualization tax. Built on factory NVLink and high-speed InfiniBand fabrics.
Flexible 1, 2, 4 to 8 GPU allocations pre-configured with PyTorch, CUDA 12+, vLLM and Ollama for rapid start.
Standard 42U/48U racks with 10kW-30kW power density, dual-feed UPS, and cross-border low-latency trunks.
Fully aligned with global Tier-1 server OEMs and component manufacturers. Supporting exact part-number cross-referencing, compatibility validation and rapid BOM sourcing.
HGX H100 / H200 / B200 · L40S · RTX 6000 Ada · Quantum InfiniBand
Xeon 5th/6th Gen Platinum/Gold · Gaudi 2/3 · Agilex FPGA
EPYC 9004 / 9005 Series · Instinct MI300X / MI325X Accelerators
PowerEdge R760 / R660 · XE9680 8-way GPU Racks & OEM Spares
ProLiant DL380 / DL360 Gen11 · Cray XD AI Infrastructure · Smart Array
GPU SuperServer 4U/8U · FatTwin Multi-Node · Hyper High Density
ThinkSystem SR675 V3 · SR650 V3 · Neptune Liquid Cooling
UCS C-Series Rack Servers · Nexus 9000 Fabrics · Transceivers
DDR5 4800/5600 ECC RDIMM · PM9A3 / PM1743 PCIe 5.0 NVMe
HBM3e Silicon Stacks · DDR5 Server Memory · PE8110 Enterprise NVMe
9400 PRO PCIe 4.0 · 7450 PRO · 128GB/96GB DDR5 Server Modules
D5-P5336 QLC 61.44TB · D7-P5520 High-Endurance NVMe
ConnectX-6 Dx / ConnectX-7 200G/400G · Quantum-2 800G IB
Thor 2 200G/400G Ethernet · MegaRAID 9600 Tri-Mode · HBA 9500
Ultrastar DC SN840 NVMe · Ultrastar HC550/HC560 18TB/20TB/22TB HDD
Exos X20 / X24 Enterprise SATA/SAS · Nytro 3000 SAS SSD · IronWolf Pro
We help integrators, resellers, data centers and enterprise buyers turn part numbers or requirements into actionable procurement plans.
RFQs structured by brand, model, quantity, condition and lead time.
Selection support based on workload, GPU count, storage and networking.
Pre-delivery checks and logistics arranged to order requirements.
Standardized enterprise hardware delivery workflow ensuring part number accuracy, architectural compatibility and clearance reliability.
Provide exact manufacturer part numbers, BOM spreadsheets, quantities, destination and timeline.
Engineers verify CPU/GPU topologies, DIMM matrix, PCIe bifurcation, and TDP power budgets.
Confirm optimal commercial terms, payment milestones, SLA warranty and factory batch allocations.
Complete pre-shipment visual QC, burn-in diagnostics, ESD safe packaging and customs manifests.
Include product, quantity, destination and intended end use so we can prepare suitable configurations and commercial terms.
GPU is not the only decision; CPU, memory, storage, networking, cooling and power all affect the final configuration.
Read article →Full part numbers, quantities, condition, destination and end use make RFQs significantly more efficient.
Read article →The first phase focuses on AI servers, enterprise servers, server components and BOM enquiries.
Read article →