GPU what is it? Key Tech Behind Modern Computing
GPU what is it refers to The graphics processing unit, or GPU, has become one of the most important types of computing technology, both for personal and business computing. Designed for parallel processing, the GPU is used in a wide range of applications, including graphics and video rendering. Although they’re best known for their capabilities in gaming, GPUs are becoming more popular for use in creative production and artificial intelligence (AI).
GPUs were originally designed to accelerate the rendering of 3D graphics. Over time, they became more flexible and programmable, enhancing their capabilities. This allowed graphics programmers to create more interesting visual effects and realistic scenes with advanced lighting and shadowing techniques. Other developers also began to tap the power of GPUs to dramatically accelerate additional workloads in high performance computing (HPC), deep learning, and more.
GPU what is It with CPU: Working Together
The GPU evolved as a complement to its close cousin, the CPU (central processing unit). While CPUs have continued to deliver performance increases through architectural innovations, faster clock speeds, and the addition of cores, GPUs are specifically designed to accelerate computer graphics workloads. When shopping for a system, it can be helpful to know the role of the CPU vs. GPU so you can make the most of both. What is a GPU? Simply put the new generation of compute processor. Meaning of NVIDIA - Nvidia is a leading technology company known for designing GPUs (graphics processing units) that power gaming, AI, data centers, and high-performance computing.
Intelligent PDUS
Sunbirds Data Center DCIM provides Outlet-metered intelligent rack PDUs that enable monitoring and management of power consumption at each outlet, providing device-level data that offers a granular view of power usage and capacity in the data center.
Some even integrate with temperature and humidity sensors to provide environmental information at the rack.
Sunbird’s DCIM software complements outlet-metered intelligent rack PDUs by collecting, storing, alerting, and reporting on the data they generate, delivering actionable insights and enabling more informed decision-making.
In this eBook, we will explain the practical advantages of deploying intelligent rack PDUs and Sunbird DCIM. By leveraging these tools, you can maximize the value of both investments and dramatically simplify how you manage your data center.
Data Center Infrastructure Management
Why DCIM?
Power and cooling expenses alone were projected to increase from $25 billion in 2005 to $45 billion by 2010. Data center managers consistently cite rack density, cooling, and power usage as top concerns.
As responsibilities across facilities, networking, and systems have evolved, aligning these functions to reliably, securely, and cost-effectively support the business has become increasingly difficult—making DCIM tools a critical necessity.