What is a data center GPU?
Data centre GPUs are powerful accelerators that are used in conjunction with CPUs in both on-premises and cloud scenarios. The high-performance parallel processing capabilities of data centre GPUs enable critical workloads such as AI, analytics, rendering, and simulation/modeling.
Why do data centers need GPUs?
Accelerators are becoming more and more necessary as computing requirements in the data centre market change. For a variety of tasks, CPUs offer excellent performance and versatility. Workloads related to AI, analytics, rendering, and simulation/modeling can be accelerated by implementing GPUs in data centres.
The Significance of Intel Data Centre GPUs for Innovation
Emerging technologies like artificial intelligence (AI), rendering, analytics, and simulation/modeling are made possible and improved by data centre graphics processing units (GPUs), which are separate accelerators.
GPUs must have a larger role in your data centre infrastructure in order to support sophisticated workloads like AI, analytics, 3D rendering, and others. Data centre GPUs can speed results and increase innovation by adding strong parallel processing capabilities to CPUs.
New Use Cases Require New Data Center Hardware
With the use of technologies like artificial intelligence (AI), media and media analytics, and 3D rendering, GPUs are being used in data centres to assist in the resolution of today’s most difficult and complicated issues. These new use cases necessitate a distinct kind of computational capacity to support their sophisticated capabilities across several technology segments, including visual cloud computing and high performance computing (HPC). Incorporating the GPU into the data centre environment aids in meeting the ever-increasing mountains of data and increased computational needs.
These days, GPUs are frequently virtualized to provide for greater flexibility and efficiency, and they are utilized extensively in both on-premises and cloud data centre settings. As GPU technology develops into a standard component of the contemporary data centre, Intel is committed to guiding its advancement. Intel Flex Series GPUs and Intel Data Centre GPU Max Series offer optimized solutions for enhancing the capabilities of your data centre with strong and effective GPU performance.
A key component of Intel GPU’s goal is represented by these data centre offerings, which balance price and performance in the GPU market and give data centre professionals additional options to serve sophisticated, innovation-enabling use cases.
Data Center GPUs vs. CPUs
In the data centre, GPUs are used to add more processing capability to CPU capabilities.
Although they both manage data and are silicon-based microprocessors, CPUs and GPUs are designed for distinct purposes. Many workloads and applications are well suited for CPUs, particularly those where latency or per-core performance are important considerations. They concentrate fewer cores on completing individual tasks rapidly. Because of this, CPUs are ideal for tasks like managing databases and carrying out serial computing.
GPUs are useful in this situation. Originally designed as specialised ASICs, GPUs were created to speed up particular 3D rendering workloads. These fixed-function engines gained flexibility and programmability throughout time. GPUs are frequently used by consumers for gaming. However, GPUs have become more versatile data centre parallel processors, enabling demanding use cases and managing more applications. GPUs can support parallel processing better than CPUs due to their hundreds of cores.
Why Use GPUs in the Data centre?
If your company is investigating more complex use cases like artificial intelligence, analytics, modelling, or simulations, GPUs might be an essential part of enabling your experts to complete their work efficiently. They may also be essential for making cloud gaming services available.
GPUs enable workload acceleration, enabling users to complete tasks more quickly and accomplish more. Many of today’s technologies and applications may experience excessively long load times, performance problems, or even malfunction without a high-speed GPU.
Use Cases for Data Centre GPUs
Many of the most potent technologies of today may require GPUs.
GPUs aid in the training, optimization, and operation of sophisticated algorithms for AI, deep learning, and machine learning, which allow computers to perform incredible feats. A GPU or other accelerators are perfect for deep learning training on large sets of specific data, such as 2D images, or with multiple neural network layers. In order to improve speed and bring training times down to a manageable range for a variety of real-world issues, deep learning algorithms have been modified to employ a GPU-accelerated method.
Advanced 3D rendering capabilities for video production, gaming, AR/VR, and other cutting-edge content are also made possible by data centre GPUs. One quickly developing application for data centre GPUs is cloud gaming. When used in a virtualised data centre setting, data centre GPUs offer excellent performance, flexibility, and efficiency, allowing mobile or remote workers to complete their most difficult and complicated tasks from any location.
Similarly, data centre GPUs are useful for modelling, simulation, and analytics tasks. Large volumes of complicated data are used in these applications, therefore the GPU’s capabilities serve to speed up processing times and enable more thorough and comprehensive analysis.
Implementing GPUs in the Data Center
There are obstacles to overcome when integrating GPUs into your data centre setting. These high-performance instruments require more room and energy. As they work, they also produce significantly more heat. These elements affect the infrastructure of your data centre and may result in increased power expenses or issues with dependability. Power and cooling challenges must be handled with the right infrastructure for data centre GPU implementation. Check your cooling, UPS, and rack power distribution systems before installing GPUs. Power shortages can affect availability and performance. Similarly, insufficient cooling capacity may result in equipment damage or downtime.
A data centre GPU can supplement several CPUs in virtualized environments. By taking advantage of this, you may optimize resource utilization and maximize your spend. However, bear in mind that new licensing requirements may also be introduced by virtualized GPUs.
Intel Data Center GPU Offerings
Intel offers both present and upcoming data centre GPU options that might assist you in achieving the ideal trade-off between cost and performance in your setting as you look to enable next-generation use cases.
It currently provide open, reliable, and adaptable GPU solutions with the Intel Data Centre GPU Flex Series. Workloads ranging from virtual desktop infrastructure to AI visual inference, video streaming, and cloud gaming are all supported by this series. With essential server features for high reliability, availability, and scalability, the Intel Data Centre GPU Flex Series supports an open, standards-based software stack that is optimized for density and quality. This lessens the requirement for data centres to handle proprietary or heterogeneous settings and employ different solutions.
The high performance computing market will see new levels of efficiency and performance to the future data centre GPU product.
Furthermore, Intel provides software tools that can facilitate and expedite the creation of sophisticated data centre applications that make use of GPUs. The Intel oneAPI toolkits for rendering, analytics, HPC, and IoT make it easy to build complex applications that work across CPUs, GPUs, and other accelerators. It work with PyTorch and TensorFlow to optimise GPU-centric workloads upstream.
Explore New Ideas with Data Centre GPUs
Modern technologies will make Intel data centre GPUs increasingly crucial.
Intel supports GPU innovation with cutting-edge technology and close collaboration with an ecosystem and open source partners. It can help you maximize AI, analytics, 3D rendering, and other cutting-edge applications in your data centre with GPUs.
