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Cloudalize's cutting-edge cloud technology delivers more speed and greater processing power thanks to the latest graphical-processing units (GPUs).

Cloudalize’s cutting-edge cloud technology is powered by the latest graphical-processing units (GPUs).

What is a GPU?

The backbone of Cloudalize’s cloud technology are graphical-processing units (GPU). Cloudalize’s two co-founders had a vision of creating new horizons for GPU technology. They envisaged a world where GPU was available from the Cloud to unlock new possibilities in content creation, artificial intelligence (AI), 3D rendering and modelling and much more.

What makes a GPU special?

Modern CPUs are composed of two or more separate processing units called cores. This is the reason why many of the leading CPU manufacturers market their products as multi-core. Each of these cores reads instructions to run programs. To do this, CPUs do serial processing of mathematical calculation or computation at a time.

Until recently, CPUs could handle all the programming demanded by modern computing. However, as technology advances and software vendors upgrade their programs to include more and more features, the CPUs are no longer able to manage.

Compared to your laptop, macbook or desktop computer, Cloudalize utilises over 1,000 to deliver best-in-class technological performance

On the other hand, a GPU consists of thousands of cores to do computations in parallel. This gives the GPUs the ability to do more computations all at once and to run very intense computations which would overload an average CPU.

Here is where GPUs have a technological advantage over CPUs to support high-intensive graphic programs such as computer-aided design (CAD), Computational Fluid Dynamics (CFD), Building Information Modelling (BIM), video editing and generative design (GD) programming.

GPU vs Graphics Card

GPU vs. Graphics Card: What’s the Difference?

The terms GPU and graphics (video) card are not exclusive to each other. There are differences between the two of them. The graphics (video) card is the hardware, and like a motherboard of a computer, a graphics card incorporates the GPU. The graphics card contains other components to allow the GPU function and integrate to the intended system.

The difference between graphics card and a GPU. A GPU is integrated in a graphics card while a GPU used by Cloudalize is specifically integrated into Cloudalize's IP technology.

Applications of Cloudalize’s GPU power

Cloudalize's GPU-powered Platform enables IoT, software in the Cloud, Artificial Intelligence (AI), mobility and flexibility.

Cloudalize’s GPU-powered platform has been deployed in a number of different sectors. It is an enterprise-ready solution available to universities, small-medium enterprises/business (SME/SMB) and bigger organisations to be more productive, creative and efficient.

The biggest advantages of Cloudalize are performance, reliability and cost. The best laptops have great graphics and performance but these come at a huge cost to your business. However, Cloudalize can give you the best machine without spending thousands all from the existing hardware on the Cloud.


Cloudalize for Video Editing & Content Creation

Independent professionals or studios in the creative industry struggle at times with long rendering times or computers dying because of overloading the CPU or GPU. This is a source of frustration and lost business. Cloudalize’s GPU-powered platform can make creative content creation faster and easier. From our Cloud Workstations (DaaS), creative professionals can create and edit video or graphics with GPU power using the latest software all from their preferred browser. Studios can begin to integrate AI into their creative workflows with our Kubernetes GPU Cloud.

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Cloudalize for 3D Rendering & Modelling

3D rendering and modelling software is graphically intense. As software vendors publish more and more advanced features, the go-to solution is to upgrade your hardware. 

It was the 3D rendering and modelling capabilities of Cloudalize which secured the first customers. From this point, Cloudalize has gone from strength to strength. Graphically-intensive 3D rendering and modelling software pose no challenge for Cloudalize’s GPU-powered platform. It runs smoothly and effortlessly to your desktop from the Cloud. What’s more, if you use the latest versions of certain software such as Lumion, the team can optimise the performance of the Cloud Workstation (DaaS) to prioritise frame-rate over image quality.

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Cloudalize Kubernetes GPU Cloud enables Machine Learning (ML) and other interference and learning applications.

Cloudalize for Artificial Intelligence

AI and ML are the next frontiers for Clodualize’s GPU-powered technology. GPUs’ processing power makes them the ideal engine for your data scientists and DevOps teams to power your Artificial Intelligence (AI) and Machine Learning (ML) engines. Cloudalize can make this happen from our Kubernetes GPU Cloud or combining your resources with our technology via Cloudalize Private Cloud.

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NVIDIA Cloud Service Provider

Since 2017, Cloudalize has been an official partner with the world’s premier graphical-processing unit (GPU) manufacturer, NVIDIA. Cloudalize is a certified “Cloud Service Provider” and participates in NVIDIA conferences and events.

Cloudalize uses a combination of the latest NVIDIA GPUs to power its cutting-edge cloud technology. Since we built the technology, it’s our intellectual property (IP) which fully harnesses the power of NVIDIA’s GPUs to deliver best-in-class speed and performance to our customers.

Cloudalize an official partner (Cloud Service Provider) of NVIDIA: the world's premier manufacture of graphical-processing units (GPU)

Find out what GPUs can do for you

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