Why GPU for Accelerated Computing

29 November 2023


Before delving into why GPUs are crucial for accelerated computing, let’s grasp how a CPU (Central Processing Unit) operates.


A CPU serves as a computer’s brain, executing instructions through arithmetic and logical operations while coordinating tasks. Its data processing involves ingesting, storing, and eventually processing data to yield results—data in, information out. However, this process employs serial processing, handling data sequentially. This approach becomes inefficient when dealing with extensive datasets, consuming considerable time.


Modern CPUs feature multiple high-performance cores for multicore processing, enabling parallel processing to enhance efficiency as these cores independently handle data. Yet, due to the CPU’s original design limitations in performing parallel activities, scaling becomes challenging, often bottlenecked by memory bandwidth. This limitation makes larger datasets problematic for CPU processing.


This is where GPUs come into play. A GPU is specialized hardware tailored for specific types of calculations. Unlike CPUs, GPUs excel at executing a few simple operations rapidly. Comprising thousands of lightweight cores, GPUs conduct parallel processing, allowing them to swiftly process large datasets compared to CPUs.

Source: MCADCafe Editorial

However, the emergence of GPUs doesn’t signify the replacement of CPUs. CPUs remain essential for handling complex processing instructions that GPUs may not manage.


Returning to the significance of GPUs in accelerated computing, the escalating volume of data at a rapid pace surpasses the processing speed of CPUs, leading to potential errors. GPUs address this by rapidly and accurately processing data through their parallel processing architecture. Leveraging GPU architecture offloads demanding tasks that could otherwise impede CPU performance, enabling CPUs to focus on intricate computing duties.


Source: Data Age 2025, IDC Global DataSphere, Nov 2018

Data has become pivotal for businesses and organizations. Swift and accurate data processing empowers businesses to stay ahead in the competitive landscape and gain comprehensive market insights.


At Aperia Cloud Services, we prioritize embracing technology and delivering top-tier performance to our clients instantly. Our clients can rely on accessing the latest and most potent GPU technologies available in the market through Aperia Cloud Services.

Source: ACS

More Blog Posts

Intro to AI

AI, machine learning, deep learning. All working hand in hand, part of a new era in technology to aid and assist many industries such as Automotive, Medical, Re...

AI: In the pipeline

Every wonder how AI are made. In this article let's look into what is in the pipeline in creating an AI. There are 3 main phases in the AI pipeline. Data manage...