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What Is GPU Cloud and How Can It Help You?

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Alvin Heck
What Is GPU Cloud and How Can It Help You?

If you're seeking for a means to obtain high-performance, dependable, and rapid processing, GPU cloud is the answer. In that case, you've come to the correct spot.

GPU cloud computing is quickly becoming a must-have for contemporary businesses. As the utilization of high-computing tasks such as molecular modeling, AI, and big data grows, so does the speed with which we demand our technology to perform these activities.

But what exactly is a GPU, when do you need one, and how can you utilize one effectively? Let us investigate.

GPU vs CPU

To begin, GPU is an abbreviation for graphics processing unit, which is a programmable logic chip (processor) that is specifically built for display operations. It is distinguished from the traditional CPU (central processing unit) in two respects.

The first of them is power. When doing activities that demand several computations at once, GPUs are much more powerful than CPUs. This is because a standard CPU has 28 processing cores, but a GPU has 5000 processing cores. Depending on the use, a single GPU may replace up to 54 CPU sockets!

This strength is similarly related to speed. Because of the enormous number of cores in a GPU, it can do numerous computations in parallel exponentially quicker than a CPU.

When Do You Need a GPU?

GPUs, as the name suggests, were initially created to expedite the production and rendering of graphics in order to provide very high-quality displays. And this is still the reason why many people will buy one today - GPUs are built in your phone, laptop, workstations, gaming consoles, and other popular gadgets.

However, they aren't merely useful for visual design. GPUs are required for any compute-intensive application, such as CAD/CAM, bioinformatics, HPC, big data, and AI and machine learning (ML). All of the issues you answer with a GPU are discrete mathematics problems. A GPU allows you to break these issues into thousands of subsets and solve them all at once.

Particularly as our fascination with automation and artificially intelligent technology expands, there will undoubtedly be a significant increase in demand for GPUs in the future years.

There are several components in AI and ML neural networks. And they perform incredibly well when done on a GPU since all of these pieces, i.e. computations, can be executed in parallel. So, when it comes to training a neural network, a GPU can outperform a CPU by orders of magnitude.

Tensor cores are a sort of processing core that specializes in matrix mathematics and is especially built for deep learning in GPUs specialized for AI and ML, such as the NVIDIA® Tesla® v100 GPU utilized by UKFast's eCloud® GPU solution.

GPU Cloud vs. GPU Device

Aside from the technical support aspect of investing in a cloud solution, there are two primary benefits to investing in a cloud-based GPU product such as eCloud® GPU.

Cost

A good-quality GPU card will cost you at least a few hundred pounds, and with top-tier features, you may expect to pay thousands of pounds.

We exclusively provide the market-leading NVIDIA® Tesla® v100 GPUs at UKFast, which give seven teraFLOPS of double provision performance and fourteen teraFLOPS of single provision performance. These cards also have tensor cores with 112 teraFLOPS of tensor performance, making them ideal for your deep learning needs.

But the best part about eCloud® GPU is that it's entirely pay-as-you-go. So, if you just require GPU power for an hour, you only pay for that. This is substantially less expensive than purchasing one altogether, and it ensures that you have access to cutting-edge technology regardless of your budget.

A NVIDIA® Tesla® v100 GPU is also often only available as a whole card. However, if you simply want half a card's worth of performance, we also provide this alternative!

So, this alternative is both cost-effective and adaptable; what more can you ask for?

Performance

Oh, absolutely. When you pick eCloud® GPU versus installing your own GPU in your workstation, you get a significant performance boost.

As previously said, we exclusively utilize the greatest GPUs on the market, so you can expect the best performance possible. Furthermore, if you are currently a customer of our eCloud® platform, you may create an instance and it will be seamlessly linked with your systems on the same network right immediately. This makes the process very efficient, quick, and assures excellent performance at all stages.

Overall, GPUs are ideal for jobs that need massive computational capability to do several computations in parallel. They are useful for much more than simply visuals. And, if you want to see what a GPU can do for you, we propose the PAYG cloud option.

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