# GPU Servers & Barebone Systems

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Language: en

Configure AI servers around GPU count, power, interconnects and cooling. Clearly distinguish a barebone system from a fully populated server in the delivery scope.

## GPU Servers & Barebone Systems

GPU servers and barebones

Configure AI servers around GPU count, power, interconnects and cooling. Clearly distinguish a barebone system from a fully populated server in the delivery scope.

- Applications

AI training, batch inference, multi-GPU workloads and GPU cluster development.

- Supply Scope

Multi-GPU PCIe servers · Integrated GPU platform servers · GPU barebone systems

- Information for an Inquiry

Complete model or configuration, quantity, equipment location or destination, and required dates. Quote, condition, accessories and warranty are confirmed separately.

## From application to equipment list

Specification examples help define requirements. Support depends on the exact model, platform documentation and supplier information.

### Common Types & Supporting Components

- Multi-GPU PCIe servers

- Integrated GPU platform servers

- GPU barebone systems

- Integrated air- or liquid-cooling options

AI training, batch inference, multi-GPU workloads and GPU cluster development.

### Key Specifications

- GPU

Models, count, form factor and accelerator memory configuration

- Platform

CPU, memory, PCIe lanes and host architecture

- Interconnects

GPU-to-GPU interconnect and cluster network requirements

- Cooling

Airflow design or liquid-cooling connection requirements

- Power Supply

Power supplies, cables, rack power and redundancy

- Scope

Whether GPUs, CPUs, memory, storage and licenses are included

### Four Checks Before Purchasing

- 01Itemize included and excluded components in the barebone system

- 02Validate power and cooling for the GPU count

- 03Check GPU interconnects, network adapters and cabling

- 04Agree workload tests, accessories and on-site delivery scope

## Coordinate the product, accessories and delivery

Submit a complete model or project bill of materials so we can check compatibility, main units, accessories, quantities, lead times and destination. Compare supply sources, volume purchasing and phased delivery for the actual requirement.

Source, condition, specifications, tests, warranty and after-sales scope are confirmed separately in the quotation and order. This page describes purchasing scope; actual models, quantities and prices depend on the inquiry result.

## Related Equipment & Parts

Check the platform and application together to avoid mismatches between main equipment and accessories.

### Data Center GPUs

Data-center GPUs

Source data center GPUs for AI training, inference, simulation and parallel computing, with the configuration matched to workload, accelerator memory and server platform.

- PCIe GPU cards

- GPU modules supplied with a compatible server

- Single- and multi-GPU configurations

Check: workload · accelerator memory · platform

### AI Accelerators

AI accelerator cards

Select accelerator cards for AI inference and specialized workloads after confirming the processor architecture, software toolchain and model deployment requirements.

- PCIe inference accelerators

- Dedicated AI accelerator cards

- Low-power edge accelerators

Check: task · software · interface

### Server CPUs

Server processors

Select server processors for the CPU platform, socket, core configuration and memory support, while accounting for workload and total system power.

- Single-socket server processors

- Processors for dual- or multi-socket platforms

- High-core-count options

Check: platform · compute · memory

Images illustrate product categories. Some use related equipment or application scenes. They do not identify a specific model, connector, configuration, stock position or supply commitment. Confirm appearance, specifications, condition and delivery terms against the agreed product documentation and order.