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

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Professionals that work in AI, animation, and data science rely on solid, scalable, and performant workstation boards.

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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.

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

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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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Tried and true x86 architecture based servers with support for the latest Intel and AMD processors.

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ARM Server

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

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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

Visual Computing

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

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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.

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

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Threadripper for Prosumers Workstation Products to Support the Developer/Designer/AI Scientist Less is More！

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