When the Graphics Processor Unit (GPU) got integrated into the Central Processor Unit (CPU) as a supplement processor unit, nobody thought it would one day reposition itself and become the primary component in high processing power computing, artificial intelligence, and self-driving cars. Among many other upgrades, the GPU is slowly emerging as a service more than just a CPU supplement. Some of the ways GPU comes off as a service includes:

1. Augmented reality

As we all know, the GPU is responsible for graphics in video games. Integration of the GPU to augmented reality will see it offer excellent service in producing high-end graphics to make augmented reality a great ‘reality.’ The primary goal of augmented reality is to give users a feeling of projected reality from a computer. With GPU integration, this could prove achievable and increase the efficiency of augmented reality as a service.

2. Cloud-based GPU

Conventionally, access to high-performance computers has always limited access to on-premise PCs. However, the growing demand for cloud-based GPU could see users gain access to high-performance computers from any location with major cloud providers like Microsoft Azure. GPU allows deep learning and machine learning and could prove a very useful service for organizations, especially if made cloud-based.

3. Requirements for high performance computing applications

Delivering high-performance computing on the cloud still poses a challenge to many cloud providers. The most common problem for high-performance cloud computing is latency and storage speeds with many cloud applications requiring more space to store data. However, with GPU services integration, more applications requiring low latency and less storage to carry out commands on the cloud emerge. GPU will also lead to improved visualizations on cloud and hence a massive improvement expected for regular cloud services. Contact us for more information.