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Server motherboards for demanding applications come in form factors: EEB/E-ATX/ATX/microATX/mini-ITX.

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Innovation and performance are in these optimal rack servers to be deployed in data centers with demanding applications.

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Scalable parallel computing GPU dense servers that are built for high performance.

2 GPU 4 GPU 8 GPU

High Density Server

Compute, Storage, and Networking are possible in high density, multi-node servers at lower TCO and greater efficiency.

2U 2-Node 2U 4-Node

Tower Server / Workstation

Stand-alone chassis for customers to customize and expand as needs change.

Direct Liquid Cooling

Ensure peak performance in all configurations. Adopt direct-to-chip liquid cooling for the rising AI/HPC era.

Immersion Cooling

Address rising server heat with submerged cooling. Embrace next-gen liquid cooling for improved TCO and PUE.

Data Center - OCP

Based on OCP Open Rack Standards, barebone racks and nodes for datacenters.

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Arm architecture servers will compete in Cloud to Edge as they tackle compute-bound workloads.

Ampere NVIDIA

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Processing power, large amounts of data, fast networking, and accelerators all bundle into a scale out ready HPC and/or AI server solution.

AI Training Server AI Inference Server

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Systems that do visual applications from computer graphics to computer animation rely on visual computing servers.

High-Performance Computing Server

Processing power, large amounts of data, fast networking, and accelerators all bundle into a scale out ready HPC and/or AI server solution.

Hyper-Converged Server

Software defined cluster of nodes can be dedicated for compute, storage, networking, or virtualization.

Storage Server

Capacity, reliability, and storage flexibility are built into these storage servers for enterprise and datacenters.

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Embedded IoT Solution Semi-industrial Motherboard

Network Server

Securely manage the use of files and applications for office environments while storing large amounts of data.

Hybrid/Private Cloud Server

Server resources are effectively allocated via virtualization, and these servers are highly flexible.

Edge Server

Real time data processing at the source is required for edge computing with reduced latency for Internet of Things (IoT) and 5G networks as they use cloud.

e-Mobility

Telematics and Edge computing platform for Electric vehicle, Autonomous driving, ADAS, ITS, and V2X applications

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AORUS Project Stealth Meet AORUS Model S：Small Yet Powerful AORUS For Pro Gamers : Reshape the Game

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GIGAPOD - AI Supercomputing Solution AMD Instinct™ MI300 Series Platform AMD EPYC™ 9005 Series Solutions

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