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Sumit Soni
Sumit Soni

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Why use Cloud GPU Services?

Why use Cloud GPU Services?

Cloud GPU Services also known as GPU as a Service (GPUaaS) is a managed services offering by third-party providers. It involves the deployment of virtual desktops equipped with GPU (Graphics Processing Unit) to support graphic-intensive applications.

Virtual desktops that run on GPU typically offer high performance and superior graphics and come at a cost higher than standard virtual desktops. Many providers, such as Ace Cloud Hosting, utilize NVIDIA GPUs so users can seamlessly run high-end apps across multiple devices.

GPU as a service comes with a host of features that businesses regularly benefit from. Some of these features include centralized management, least latency and guaranteed uptime.

Although these have largely contributed to the growth in popularity of Cloud GPU Services, there exists another reason. The implementation of a physical infrastructure to support GPU-only applications can be very expensive.

However, with GPU being created on the cloud and delivered to end users via virtual desktops, per-user deployment costs come down substantially.

Below is a discussion of the most attractive features of GPUaaS that explain their growing adoption and usage across multiple industries:

Cloud GPU Services are remotely accessible.

One major benefit of using cloud GPU services is remote accessibility. For flexible workload management, it is crucial to be able to access and work on high-speed virtual desktops from any device located anywhere in the world.

Performance wise, location no longer proves to be a constraint for GPUaaS as all it needs is a steady internet connection to deliver High-Performance Computing (HPC) with zero latency issues. Cloud GPU services from renowned providers, like Ace Cloud Hosting, guarantee an unmatched experience for managing intensive workloads. They offer storage on SSDs (solid state drives) for enhanced speed and performance of virtual desktops, 99.99% server uptime for uninterrupted operations, data centers with multiple layers of redundancy, and NVIDIA Quadro RTX 8000 GPUs for an exceptional graphic experience that is accessible anytime, anywhere.

Why user experience matters in GPUaaS.

The GPU is closely related to CPU (Central Processing Unit). As opposed to the latter, however, GPU is specialized and optional. The aim of GPU is to facilitate graphic-intensive workloads, while that of CPU is to generate all-around computing performance.

GPUs have massively evolved over the last two decades to go beyond the gaming industry.

Having started in the early 2000s as a means to achieve 3D graphic renderings in real time, GPU has now become much more programmable and generated a wide range of applications.

To accommodate highly flexible graphics applications, GPUaaS now supports superior graphics performance, so that faster frame rates and higher resolutions become a simultaneous possibility.

Multiverse gaming deploys hyperreal and complex graphic renderings that are tied with higher refresh rates, 4K display and compute-intensive applications.

Such intense graphics-processing needs have also been found outside the gaming industry for purposes of design and video-editing. Video editors and graphic designers have long suffered from poor processor performance tied to considerable rendering times and stifled computing resources.

With the emergence HD renderings of video and graphics, GPU now offers parallel processing that cuts down on rendering times to deliver a fast and superior performance.

AI and Machine Learning technologies also benefit massively from the deployment of GPUs for such compute-intensive applications as image recognition.

Because GPUs provide parallel processing, they also support deep learning technologies that require extraordinary computation power. No matter the industry that benefits from the use of GPUs, powerful computing experience is synonymous with the need for and growth of GPUs.

GPU as a Service comes with the highest security standards.

Many businesses that deploy cloud GPU services are somewhat specialized in nature. While they do a great job in their respective arenas, they sometimes exhibit a lack of knowledge when it comes to data security management.

Often the implementation and maintenance of the latest security protocols necessitate a great deal of additional expenses.

For businesses already investing in a costly GPU-equipped physical desktop infrastructure, this can burn a sizeable hole through their budgets. Reputed GPUaaS providers address all security concerns by ensuring best-in-class physical and digital safeguards.

Physical security includes access authorization systems and 24X7 CCTV surveillance in data centers located at secure and isolated locations, while digital security includes a multi-layered infrastructure

involving two factor authentication system so virtual desktops are accessible only after logins with two layers of OTP, continuous monitoring for real time threat detection and mitigation, extensive protection against DDoS (Distributed Denial of Service) attacks, OS Patching and Hardening to protect against malicious intrusion, etc.

Cloud GPU Services are significantly cost-effective.

GPU-supported physical workstations demand expensive hardware and high-end configurations that may not fit the bill for most medium or small businesses. Besides, physical infrastructure cannot do without upfront set up costs. Not to mention, such huge initial investment can make or break a business.

In contrast, GPU as a Service comes with flexible pricing options that enable businesses to work on graphic-intensive applications at minimal costs. With the guarantee of a superior experience, virtual desktops equipped with GPU enable firms to operate in an OPEX (operational expenditure)-only mode without the need for CAPEX (capital expenditure).

Cloud GPU services are fully managed.

To run a GPU-supported physical workspace, on-premises servers with high-end settings are indispensable. Their management requires an expert IT team to put in round-the-clock hours.

In other words, the installation and maintenance of physical desktops and hardware for handling graphic-intensive applications can easily exceed budgets. Naturally, it makes sense for businesses to opt for GPU-on-the-cloud because Cloud GPU Services are managed entirely by providers from start to finish.

All of designing, creation, hosting, deployment, installation, support, and maintenance form part of GPUaaS. This means, the need for in-house IT team as well as additional maintenance costs are gone. But that is not all. There is another major cost-saving component associated to GPUaaS.

GPU-powered virtual desktops can run just as well on low-spec end-user devices and are not bound by existing hardware constraints. Thus, business no longer have to undertake the cost and hassle of replacing, purchasing or upgrading any existing physical hardware.

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Zachary

Recently, I learned about a new project, the Hyperdust Protocol. It supports multi-chain deployment and offers cost-effective, sustainable GPU computing power and cloud rendering services for Web3 applications such as the metaverse, AI training, and top-tier AAA games. It's reported that the mainnet is about to launch, and you can now claim airdrops for free trial. Interested friends can check it out. Here is their official website: hyperdust.io/