Difference between CPU and GPU
Both CPU and GPU may perform computation to run PCs and servers, however they each have their own specifications. CPU plays the role of brain as it is excellent at summarizing and processing data sent to computer by HDD, memories, OS, programs, etc. High level of performance is achieved by supercomputers that contains CPU servers consolidating a number of CPUs with high computing capability. On the other hand, GPU servers combine a pile of GPUs that are experts of handling simple calculation simultaneously. For the same reason, AI and deep learning, as well as high resolution graphics rendering, are getting attention as computers that may compute calculations faster than CPU servers.
- Processing the work in sequence order
- Higher speed forecasting the next processing, in order to process in sequences
- Specialized to parallel processing
- Core may be simplified as same processes are perform at once
GPU market expansion in Japan is limited
When calculation is necessary for most services nowadays, GPU servers are important “calculation resources” but Japan falls behind as of now.
The following are some possible reasons:
We think that not only establishing large-scale GPU data center in Japan, but it is also possible to provide high performance “Made in Japan calculation resources” safely once we solve the above obstacles.
Why do HIGHRESO use NVIDIA GPUs
NVIDIA’s products are mainly being used in GPU server market currently.
This is backed by the evolution of CUDA (Compute Unified Device Architecture) platform that is generally used for GPU computational performance. Programmers may operate GPU’s computational capability through customizing “C language” that is a commonly used programming language. AI Deep Learning framework “TensorFlow” etc. originated by Google are produced based on CUDA.
HIGHRESO is the first company in Japan to sign “Cloud Service Provider Compute Agreement” with NVIDIA – to participate in NVIDIA partner program for Cloud/IaaS (Infrastructure as a service) field.
Thanks to our close partnership with NVIDIA, we installed a number of revolutionized “NVIDIA A100” GPU installed in our data centers, contributing to a smooth and ultimate cloud service.
HIGHRESO’s expertise in operating GPUs is gained through the experience of operating more than 20,000pcs of GPU, building in-house GPU servers and managing them consistently. We are now able to provide GPU servers at reasonable prices.
Why GPU servers are necessary in current and the next generation
Scientist and researchers using supercomputers with CPUs realized the high computational abilities of GPU in mass calculation like weather and earthquake simulation. Formulating the technology using GPU to replace part of the calculations that had been carried out by CPU gradually, and this is being practically used in high resolution 3D rendering, AI Deep Learning and various fields.
In the near future, these contemporary technologies will be practically realized, and more users will be enjoying convenient and safe services. “Computing resources” will become important society infrastructures as enormous calculations are to be carried out through various networks.