GPU commonly known as the Graphics processing unit is changing the IT industry by performing multiple tasks at the same time. This is revolutionizing how calculations were performed and the amount of time they used to take. GPU servers are faster as compared to general CPU servers as they have almost 200 times more processors per chip than a CPU. Additionally, CPU servers focus more on latency, whereas, GPU servers emphasize on high throughput.
These servers are popular in Machine learning, deep learning, Artificial intelligence, and image processing areas as in such applications numerous computations are performed on a huge amount of data. Thus, the performance gets improved 5-10 times by running them on a GPU server.
The issue faced by most of the users is its high cost. On average, a GPU card would cost 7-10 lakhs which becomes a serious issue regarding the investment. Moreover, the projects for which these servers are used don’t last that long, and it becomes difficult for an SME to invest such a huge amount on a project that would last for a few months.
This issue has been resolved when GPU servers were launched for an on-demand basis. It came with a number of added advantages:
- No maintenance cost of a GPU server
- Option to change the GPU card as per the requirement.
- Cost reduced to almost 50%
- Upgrade the resources of the server w.r.t. requirement
- Hourly billing available for limited usage.
Nvidia has launched various GPU cards, but the most popular of them are Tesla v100 and Tesla T4 based GPU servers.
Tesla v100 is the first GPU card to break 100 Teraflops barrier of deep learning performance. It is the world’s highest-performing parallel processor. It is designed to power the most computationally intensive HPC, AI, and graphics workloads. It is known to deliver 2 times higher throughput compared to the previous generation.
However, Tesla T4 GPU is the world’s most advanced inference accelerator. It brings revolutionary multi-precision inference performance to accelerate the different applications of Artificial Intelligence. The graphics card packs the Turing TU104 GPU with 2560 CUDA cores and 320 Tensor Cores. It is cheaper than compared to Tesla v100 GPU card.
GPU will be the future of the cloud industry and soon will reach all the sectors revolutionizing them.