Systeme und Informatikanwendungen Nikisch GmbHsysGen GmbH - Am Hallacker 48a - 28327 Bremen - info@sysgen.de

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KEYNOTE NOVEMBER 9 CONFERENCE & TRAINING NOVEMBER 8-11,2021REGISTER HERE
Due to the widening chip crisis and the resulting, significant price increases of the major IT manufacturers, online price calculations are currently not possible. We therefore point out that price inquiries via our website may differ from the final offer!

SOLUTIONS FOR THE DATA CENTRE

From AI and data analytics to  High-Performance Computing (HPC) and rendering, data centres are key to solving some of the most critical challenges. NVIDIA's end-to-end accelerated computing platform, integrated across hardware and software, provides enterprises with the blueprint for a robust, secure infrastructure that supports develop-to-deploy deployments across all modern workloads.

SOLUTIONS FOR YOUR IT INFRASTRUCTURE: FROM DEVELOPMENT TO DEPLOYMENT

Secure and agile server, storage, network and management solutions and services that deliver a consistent experience and cost control in your own data centre or hybrid cloud data centre infrastructure. Get the most out of your IT infrastructure by combining cloud capabilities with on-premises data centres.
Where hybrid cloud helps businesses accelerate digital transformation and get the most out of the power of your applications and data. Data centre infrastructure solutions that include servers, data storage, network components, management and services provide the security, agility and economics you need in your data centre to support any workload. With sysGen software-defined infrastructure solutions,  you get the best of both worlds without compromise.
LEARN MORE ABOUT: HYBRID CLOUD

FROM THE CLOUD ...

With cloud-based GPU solutions, businesses can access high-density computing resources and powerful virtual workstations anytime, anywhere, without having to build a physical data centre.

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TO THE OFFICE ...

From virtual desktops, apps and workstations to optimised containers in the cloud, data scientists, researchers and developers can perform GPU-accelerated AI and data analytics at their desks.

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TO THE DATA CENTRE ...

GPU-accelerated data centres deliver breakthrough performance for processing and graphics workloads at any scale with fewer servers. The result is faster insights and dramatically lower costs. Confidential data can be stored, processed and analysed while maintaining operational security.

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TO THE PERIPHERY...

AI in the periphery needs a scalable, accelerated platform that can drive real-time decisions and enable all industries to deliver automated intelligence at the point of action - in shops, in manufacturing, in hospitals and in smart cities.

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FOR EVERY WORKLOAD

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DATA ANALYSES

Every day, companies generate and capture unprecedented amounts of data. This enormous amount of information represents a missed opportunity for those who do not use GPU-accelerated analytics. The more data you have, the more you can learn. With NVIDIA's data centre platform , organisations can get actionable insights from their data faster than ever before.


LEARN MORE ABOUT DATA SCIENCE

AI-TRAINING

Deep-Learning-Datensätze werden immer größer und komplexer, da Workloads wie Konversations-KI, Empfehlungsdienste und Computer Vision branchenübergreifend immer mehr Verbreitung finden. Die Rechenzentrumsplattform von NVIDIA, einschließlich Hardware und Software, beschleunigt das KI-Training erheblich, was zu hochproduktiven Data-Science-Teams, erheblichen Kosteneinsparungen und schnellerem ROI führt.


TRAINING RESOURCES IN NGC™CLIENTS

AI-INFERENCE

Accelerating inference workloads in the data centre requires a flexible, elastic infrastructure that can scale out and utilise every bit of available compute resources. With new technologies such as  multi-instance GPUs (MIG),  NVIDIA solutions are uniquely positioned to accelerate inference workloads such as image recognition, recommendation systems and natural language processing, providing the highest throughput and real-time response time required to integrate AI into applications.


IMPROVE INFERENCE WITH NVIDIA® TENSORRT™

Rendering

Designers and artists across all industries need to create higher quality content faster than ever, but productivity is limited by inefficient CPU-based rendering solutions. The NVIDIA RTX™ Server breaks through the limitations of expensive CPU render farms. It is a highly flexible reference design that can be configured with NVIDIA software and leading third-party software, and accelerates the most complex rendering workloads.



High-Performance Computing

HPC is one of the most important tools driving the advancement of science in the data centre. NVIDIA GPUs power the modern HPC data centre, optimising more than 700 applications across a wide range of domains. By delivering breakthrough performance with fewer servers, resulting in faster insights and significantly lower costs, the NVIDIA data centre platform paves the way for scientific discovery.


LEARN MORE ABOUT HPC
DISCOVER RESOURCES FOR HPC DEVELOPERS IN THE NVIDIA DEVZONE

VIRTUALISATION

NVIDIA virtual GPU solutions support modern virtual data centres and deliver scalable graphics-rich virtual desktops and workstations with NVIDIA virtual GPU (vGPU) software . These solutions are capable of running compute-intensive server workloads including AI, deep learning, data science and HPC on a virtual machine and also take advantage of improved management and security.

LEARN MORE ABOUT VIRTUALISATION

NVIDIA AMPERE ARCHITECTURE

THE HEART OF THE MOST POWERFUL DATA CENTRES.

Designed for the age of elastic computing, the NVIDI Ampere architecture delivers unparalleled acceleration at any scale, enabling innovators to do their life's work.
LEARN MORE ABOUT: NVIDIA AMPERE

RESOURCES

IMPLEMENTATION OF KI SOLUTIONS FOR EVERY INDUSTRY

In this e-book, learn how various industries have integrated powerful AI platforms into their existing workflows to solve business challenges and improve profitability. 

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ACCELERATION THROUGH GRAPHICS PROCESSOR OPTIMISED SOFTWARE

To stay competitive, industry leaders need to get actionable insights from their data quickly. But as datasets get bigger and compute-intensive workloads like conversational AI and computer vision become more common, to get these insights, companies need to support their data centre infrastructure with powerful enterprise support software.
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