From data science to searching for an answer to a complex question; from rendering a complex 3D model to searching for new medical frontiers; GPU servers have come to be an essential tool in almost all industries. Did you ever wonder how they work behind the scenes and why it’s so expensive to use them? Here’s a clear answer to these questions and more!
What are the GPU servers?
There are different types of servers available, each with its own uses and purpose. With standard CPU servers, one can expect precise and timely computational results, but these outcomes pale before the capacities of the GPU servers. They’re built by putting together several GP units, sometimes just a few, and in other instances as many as 16.
The GPU servers use parallel processing, which allows for the tasks to be completed incomparably faster than in the case of traditional computing solutions. This feature allows them to be employed in data centers, pharmaceutical and medical facilities, universities, research labs, or company headquarters.
The GPU servers are needed wherever the high processing power is an advantage. And although the cost of buying such a server is rather daunting, practically everyone can lease GPU from a GPU server rental company. This solution is often the best one for small to medium businesses, universities, independent researchers, freelance graphic designers, and CS students.
Why are the GPUs expensive?
The GPUs are one of the more expensive specialized pieces of hardware on the market right now. Despite their widespread popularity, the drop in prices of leading brands like NVIDIA isn’t anywhere in sight. On the contrary, in the last 3 years, the prices have only increased. When it comes to buying several GPUs in order to build a custom GPU server, the price is the most common obstacle users cite as the reason they have not done so.
What’s the reasoning behind these exorbitant prices? It’s important to understand that GPUs are incredibly powerful and complex pieces of technology. They’re designed to process huge amounts of data and perform highly sophisticated calculations, all at lightning-fast speeds. This makes them essential for a wide range of applications, including gaming, graphic design, data analysis, and scientific research.
Because GPUs are in high demand, manufacturers can charge a premium price for them. It’s not entirely unreasonable. After all, such computing power and complexity come at a cost. Building a GPU requires a lot of specialized knowledge, top-of-the-line components, and advanced manufacturing processes. Because of that, buying your own GPU server isn’t a great choice, unless it will be in use virtually all the time. You might choose a service like a GPU server rental instead, which will allow for performing the same operations with it but won’t drain your pockets.
Which industries and companies use GPU servers?
If we wanted to create here a full list of the uses for GPUs and GPU rental in business, science, medicine, or technology, this article would probably never end. It’s because, with such a flexible and scalable technology, new uses for it are invented almost every day.
From scientific research to artificial intelligence and video game development, GPU servers have made a significant impact on numerous industries. They are used to create NLP models and deep learning neural networks, which is a task that in itself spans many industries. They’re also very important for businesses, including marketers, sales departments, HR, and many more. The GPUs are also a staple in film industry and graphic design.