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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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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

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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.

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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 Servers AI Inference Servers

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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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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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GIGABYTE VDI Solution with Virtual GPU RAIDIX 5.X for GIGABYTE platforms

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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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Advanced Cooling Two-Phase Immersion Cooling Single-Phase Immersion Cooling Direct Liquid Cooling

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NVIDIA® QUADRO® Series NVIDIA RTX™ Series

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5G MEC Networking Platform Edge Computing Qualcomm Solution for Inferencing

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Automated Driving Control Unit ADAS Electronic Control Unit Intelligent Transportation Solution

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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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NVIDIA Blackwell Solutions GIGABYTE Direct Liquid Cooling Solution GIGAPOD - AI Supercomputing Solution

Education

Smart Whiteboard AI Face Recognition -Smart Library System Distance Education and 3D Design Collaboration on NVIDIA Omniverse Platform

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AERO: Kickstart a Portfolio Career AERO: Efficient Business Companion OA Integration Using Facial Recognition Technology

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People Counting System Smart Fall Detection System DNN Training Appliance

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AGV & AMR Control System in Warehouse Industrial Automation Security System Electronic Control Unit for AMR

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One-stop Fever Screening and Access Control Myelintek MLSteam DNN Training System

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Smart Advertisement System Next Generation Commercial Mini PC Smart Fence System

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Intel^® H61 Chipset

Tin tức

Aug 21, 2012

Bo mạch chủ GIGABYTE sẵn sàng cho Windows 8
Jun 20, 2012

Giới thiệu cuộc thi “ The GIGABYTE Hidden Germs”
Nov 15, 2011

GIGABYTE thông báo kết quả cuộc thi “Locked ‘n’ Loaded”

Giới thiệu GIGABYTE

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