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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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Tried and true x86 architecture based servers with support for the latest Intel and AMD processors.
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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.
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Software defined cluster of nodes can be dedicated for compute, storage, networking, or virtualization.
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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.
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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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5G MEC Networking Platform An Autonomous Vehicles Network with 5G URLLC Technology An Immersive VR Stadium Experience with 5G eMBB Technology A Smart City Solution with 5G mMTC Technology
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One-stop Fever Screening and Access Control Myelintek MLSteam DNN Training System
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    P55W v4

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