WHAT ARE THE KEY FACTORS FOR BECOMING MORE SUCCESSFUL?
WHAT DO YOU NEED TO KNOW ABOUT THE NECESSARY INFRASTRUCTURE?
CAPTURE OF DATA IN REAL TIME
This includes traditional data from transactions and unconventional data such as from social media, server logs, web server click streams, cell phone itemized bills, or sensor information from wind turbines, highway sensors, etc.
DATA STORAGE
Big Data is on everyone's lips for good reason. In many cases, many gigabytes, petabytes or exabytes of structured and unstructured data need to be stored. But that alone is not enough; the data must be available in the shortest possible time, which requires low latencies for read and write operations and fast network connections.
COMPUTE SERVERS ARE REPLACING CPUS BY GPU PROCESSORS.
Data analysis was previously performed by CPUs, which is no longer suitable for today's requirements for the speed of data analysis. The required performance can only be achieved by using GPU prozessors, which promise even better growth rates for the future.
NETWORKS WITH DATA TRANSFER SPEEDS OF UP TO 100 GB/S
Since today's GPU processors have an extremely high processing speed and can also be parallelized up to 16-fold, there is a risk that the data transfer speed is not sufficient to ensure a smooth, continuous data supply, resulting in the particularly high demand to fast data storage and data networks.
SOFTWARE LIBRARIES AND SOFTWARE CUSTOMIZATIONS
So that all system components listed so far can cooperate reasonably and efficiently, corresponding software libraries are necessary, which make necessary exclamations of prefabricated software solutions possible and are as far as possible widespread. As we currently see no other efficient solution, we recommend the use of NVIDIA CUDA and RAPIDS, which is supported by most application software vendors. This makes one of the largest solution choices available.
WHAT TYPE OF PARTNER SHOULD YOU CHOOSE FOR DIGITAL TRANSFORMATION? MAY WE HELP YOU??
Our company has extensive experience in High Performance Computing (HPC) and serves a very large customer base in the areas of education and research, industry, federal and state agencies. We operate worldwide, with a focus on EMA and D-A-CH.
As an NVIDIA Elite Partner and Supermicro System Partner, we have qualified as a solution partner in the areas of Machine Learning, Deep Learning, Data Analytics and HPC.
We give your analysts, developers and strategic planners the tools to ensure your success. We can be your expert long-term partner because that's what we've stood for for a long time.
For many years we have been offering the best and most powerful workstation, server and HPC cluster solutions that are fully operational as ECO complete systems. Access to perfectly configured software and containers, including Deep Learning and Machine Learning frameworks, as well as partner software from BlazingDB, H2O.ai, Kinetica, MapR, MIT and OmniSci, etc., which are continuously maintained, allow your staff to fully focus on the actual work, which results in significant cost savings.
sysGen Data Science Workstations have the power to turn massive amounts of data into insights. Combining the extreme performance of Quadro RTX GPUs and accelerated CUDA-X AI Data Science software, they are at the leading edge of the next generation of fully integrated Data Science Workstations.
To get the most value from data analytics, the processing speed of the data must be high, because that's the key to acting on predictions and recommendations in real time. This is the only way to achieve maximum benefit.
Technological change is taking place at such a rapid speed that there is no time left to adapt to the necessary changes. This is where we can and want to be a competent partner who can put you in the best possible starting position in a rapid time, at a reasonable cost, or provide good advice and further upgrades at optimal cost in the event of future expansions.
It is very important not to waste time and to take advantage of the technological change. Give your analysts the tools you need to succeed. We promise to be a strong partner with many years of HPC experience in research and industry.