CloudOYE’s professional consultation services help you choose the best configuration and setup for your GPU dedicated servers. Thus, helping you customize your configuration and setup to meet your specific needs. Are you ready? Get started today.
Need Cloud Hosting Assistance
Planning to invest in a new dedicated server? Most businesses do not have GPU or Graphical Processing Unit dedicated servers as their first choice while shopping for dedicated servers. Most users prefer buying conventional CPUs. They are typically used for applications that are resource-intensive. It is a well-known fact that such CPUs are slow in performance.
GPU dedicated servers are recommended for businesses as they are designed to processes more tasks at a greater speed. This is possible because the server is powered by a powerful parallel architecture. They were initially developed to handle the computation process of computer graphics exclusively. However, with advancement in technology, GPUs have been programmed to do more complex applications in the area of computation.
GPU dedicated servers come equipped with robust graphics processors thus preparing them for intensive use. They can speed up parallel task processing with their superior computing power. GPU dedicated server offers many advantages over their CPU counterparts.
Here are some more reasons why you should consider using GPU dedicated servers:
GPUs are designed for super-fast 3D processing. They also have the ability to crunch complex numbers quickly and accurately. GPUs come with tens of thousands of cores. That’s why they are able to handle thousands of threads simultaneously despite the fact that they generally operate at lower speeds.
Users often run heavy load tasks on the CPU. This can result in the whole system slowing down. Assigning intensive tasks to the GPU is a simple but effective way of freeing up vital system resources and ensures all-round consistent performance. The best way to do it is to assign your toughest workloads to your GPU and send the sequential processes to the CPU. End users can enjoy an enhanced level of performance when you use your GPU and CPU functions judiciously.
Big Data tasks that involve carrying out specific operations repetitively are the ones that create business value. By using GPU for Big Data tasks you can speed up the work process as GPU comes with a large number of cores that splits up the processes effectively to ensure faster and accurate number crunching.
Every environment –conscious organization tries to do their bit for the betterment of the environment. By using GPU, you can also become a responsible entity as they can carry out energy-efficient computing. GPU-equipped systems can carry out complex processes by using less energy and thus draws less power. It can bring down your energy bill substantially.
GPUs are compatible with nearly all modern software packages. Some advanced dedicated server packages even allow you to parallelize your existing code. The compiler is offered tips on which work to offload to the GPU and when. This is one huge benefit of using GPU so why not go for it?
GPU can help you manage processes such as AI training and deep learning better. GPU dedicated servers are capable of feeding large volumes of data to developing algorithms and that too in parallel. This unique capability of the server can make your job of managing your software systems easier.
GPUs can solve almost all types of complex challenges that companies face in various areas of business management.
The best quality GPUs can be used for achieving a huge improvement in throughput and it can also save companies money. Advanced GPU server systems can replace dozens of CPU nodes and can be used for a variety of applications. It can result in the savings in overall data costs.
Then there are GPUS that are designed specifically for virtualization. They are powered by state-of-the-art technology which can result in significant improvement in speed and performance. Many users can share graphic card resources concurrently.
While shopping for GPU dedicated servers, it is important to choose from a company that is known for their ground-breaking innovations in the field of emerging server technologies. Choose a brand that enjoys a great reputation and can offer better value for money than other brands available on the market.
The scope of GPU based dedicated servers comes as a surprise for everyone. A dedicated server with GPU has innumerable industrial applications that make GPU server hosting even more demanding. Let’s explore the horizons into which GPU dedicated server hosting finds its applications-
Yes, we at CloudOye provide virtualization support for dedicated server hosting with the GPU server. For this, you will need to inform us before so that we can check our availability.
Once you have deployed a GPU dedicated server from CloudOye, the very instant you will be delivered with high performance and quality based service. We have put in place experts also to help you in determining the appropriate configuration that can boost up your speed, efficiency, etc. Here are some reasons why you should select CloudOye GPU server hosting-
a. We provide warranty-based service and replace it with a good and updated part.
b. World-class configuration with instant pricing.
c. Exceptional customer service with dedicated support to each of our customers.
d. Ensures the best quality and reliability in the market.
There are innumerable benefits of a GPU dedicated server such as-
a. It improves performance by keeping the CPU free from handling all those tough workloads. Thus it is left free to handle just the main sequential processes.
b. Manages all those Big Data and machine learning applications and makes their analyses easy and quick.
c. Accelerates all your AI and deep learning processes through increased computational power.
GPU has gained popularity in the age of supercomputing but follows an older idea of parallel computing. When CPU runs across a series of tasks and involves a lot of interactivity, GPU on the other hand breaks complex problems into millions of separate tasks and work on all of them altogether. CPU has low latency whereas GPU has high latency throughout the process. CPU can handle very few operations at once as compared to GPU that can handle thousands of them.
Yes, CloudOye allows you to expand easily as and when required. We also allow you to migrate to another configuration if not specified with the present one.
Please fill in the form below and we will contact you within 24 hours.