EN
PL
Compan-IT > Articles and news > NVIDIA Hits BIG in Data Center Market


/NVIDIA Hits BIG in Data Center Market

Nvidia is a company known for producing high-performance graphics cards and gaming hardware, but the company is also making waves in the data centre space with its Nvidia Data Centre platform. The platform offers a set of hardware and software products designed to accelerate data centre workloads, from machine learning and AI to scientific computing and virtual desktop infrastructure.

Hardware offer

At the heart of the Nvidia Data Centre platform is a line of data centre GPUs, including the A100, V100 and T4. These chips are optimised to accelerate a wide range of workloads, from training deep learning models to running virtual desktops. They offer high levels of parallelism and performance, and are designed to be scalable and meet the needs of large data centers. In addition to GPUs, Nvidia also offers a range of data centre hardware products, including the DGX A100 system, which combines eight A100 GPUs with NVLink connectivity technology to deliver high performance computing and storage in a single server.

Software offer

In addition to its hardware products, Nvidia also offers a suite of software products designed to help data centre operators manage and optimise their workloads. This includes the Nvidia GPU Cloud (NGC), which provides a repository of pre-trained deep learning models, as well as tools to deploy and manage GPU-accelerated workloads. Nvidia also offers a range of software tools for managing and optimising GPU performance, including the Nvidia CUDA Toolkit, which provides a set of libraries and APIs for developing GPU-accelerated applications, and the Nvidia GPU Management Toolkit, which provides tools for monitoring and optimising GPU performance in data centre environments.

Use cases

The Nvidia Data Center platform is used across a wide range of industries and applications, from scientific computing and weather forecasting to financial services and healthcare. For example, the platform is used by the National Center for Atmospheric Research to perform high-resolution climate change simulations and by the Centers for Disease Control and Prevention to analyse genomic data to identify disease outbreaks. In the financial services industry, the Nvidia Data Centre platform is used to run complex risk simulations and predictive analytics models, while in healthcare it is used to accelerate medical imaging and drug discovery research.

Summary

The Nvidia Data Centre Platform offers a powerful set of hardware and software products designed to accelerate data centre workloads across a wide range of industries and applications. With a focus on GPU acceleration and high-performance computing, the platform is well suited for machine learning and artificial intelligence workloads, as well as scientific computing and virtual desktop infrastructure. As data centre workloads grow in complexity and scale, the Nvidia Data Centre platform is likely to play an increasingly important role in accelerating data centre performance and enabling new applications and use cases.


Other interesting articles
The AMD EPYC 7643 from the Milan family was noticed in the Geekbench benchmark database. There it showed the power of the Zen 3 microarchitecture-based cores. It turns out that one processor scored better in the test compared to the platform consisting of dual Intel Xeon.
In SDN solutions, network administrators gain full insight into its topology at any time, which allows for better and automatic allocation of network traffic, especially during periods of increased data transmission. SDNs help reduce operational costs and capital expenditure
Normally, you may want to avoid graphics cards that have been used around the clock to mine cryptocurrency. But this is not necessarily the case with a great GPU shortage, when the best graphics cards are always unavailable, even at exorbitant prices.