AI in the enterprise

NVIDIA Tesla and Ampere graphics accelerators are designed to accelerate HPC applications or
​​​​​​​deploy artificial intelligence and deep learning algorithms.

The main advantages of NVIDIA cards include specialized tensor cores for machine learning applications or a large memory (up to 40 GB per accelerator) secured by ECC technology. To enable the accelerators to communicate with each other quickly, NVIDIA has connected them with a special interface with enormous data throughput - NVLink. NVLink achieves transfer speeds of up to 600 GB / s. In addition, the NVIDIA DGX A100 offers the super-strong NVSwitch. This provides a total throughput between eight NVIDIA Ampere A100 cards of up to 4.8 TB / s.

As businesses around the world become increasingly digitized, connected and agile, the value of eliminating silos in favor of more holistic strategies is now widely recognized and extends to nearly every aspect of the modern enterprise. From supply chains to procurement optimization. Agile strategies enable organizations to re-evaluate the way they spend money and time on projects, bringing together interdisciplinary teams to work toward a common goal.

The data center industry is in a constant state of evolution. From the shift to managed services, cloud and colocation to the constant balancing act between hyperscale and edge, it's a demanding time in which data center operators regularly face new challenges. After all, a data center is only efficient if it can keep pace with innovations and changes in the market.

Want to learn more about sysGen's services of colocation, hosting and managed services in our Bremen data center?

Growing workloads drive need for specialized accelerators

Today, most enterprise applications in the data center run on a shared pool of resources managed by a virtualization or orchestration platform. This strategy maximizes the use of capital infrastructure and enables high operational efficiency. All other applications that cannot leverage this common pool run in a silo where operational efficiency is fundamentally lower.

The solution to this problem is to develop an enterprise IT infrastructure in which modern and traditional applications can run optimally on a common pool of resources. This allows IT to reduce operating costs by reducing the number of separate computing environments that need to be managed and lowering capital costs by consolidating workloads onto a smaller number of systems. in this way, enterprises can also prepare for the future, when the majority of applications will be hardware accelerated.