GPU ACCELERATOR FOR DATA CENTERS
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.
DATA CENTERS ARE ON THE RISE
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?
ONE GRAPHICS PROCESSOR FOR EVERY VIRTUAL WORKLOAD

NVIDIA AI ENTERPRISE

THE PATH TO A SIMPLIFIED, ACCELERATED DATA CENTER
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.


Optimized for performance
Achieve near bare-metal performance across multiple nodes to run large, complex training and machine learning workloads.

Certified for VMware vSphere
Reduce deployment risk with a complete suite of NVIDIA AI software certified for the VMware datacenter

NVIDIA Enterprise Support
Keep mission-critical AI projects on track with access to NVIDIA experts.

A100, A30, A40, A10
Deploy & Manage
,End-to-End Management with Real-Time Insights

VMS IN MULTI-INSTANCE GPU (MIG)
Spatial and temporal partitioning, VM isolation, flexible GPU resource sharing

GPU DIRECT COMMUNICATION
Improved data transmission performance

UNIFIED VIRTUAL MEMORY (UVM)
Simplified programming, improved performance

VMS IN MULTI-INSTANCE GPU (MIG)
Develop, optimize, deploy applications

GPU DIRECT COMMUNICATION
Simplified GPU management

Multi-Node Scaling


- Up to 266x performance increase compared to CPU only
- Nearly bare metal performance
- GPU sharing without performance loss

PRODUCT RECOMMENDATION

NVIDIA A100
Ampere-based architecture - 3rd generation Tensor cores, fast FP64Multi-instance GPU
(MIG) - Up to 7 instances of 5GB each-
Excellent power/performance at 250W-
PCIe Gen
4- 80GB HBM2

NVIDIA A30
Ampere-based architecture - 3rd generation Tensor cores, fast FP64Multi-instance GPU
(MIG) - Up to 4 instances of 6 GB each-
Excellent performance at 165 W-
PCIe Gen
4- 24 GB HBM2