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Gooxi officially launched its high-performance GPU server developed for intensive graphics computing scenarios - SR4108G-S04R-8F.
This new GPU server has higher graphics computing capabilities and load balancing, which perfectly fits the needs of graphics rendering applications. It can be widely used in scenarios such as digital twin and real-time cloud rendering, and can meet the needs of AI graphics in the fields of finance, medical care, and scientific research. Calculation and visualization help create cost-effective graphics computing solutions.
With the continuous development of digital services such as smart manufacturing, smart transportation, and smart medical care, the exponential growth of data in different industries, regions, and scenarios puts forward higher requirements for the graphics computing capabilities of servers. In this regard, Gooxi has launched a 4U 8-GPU server with 8 PCIe expansion bits, which can support 8 double-width GPUs or 6 triple-width, full-height and full-length GPU cards, which can maximize computing power and program applications, and the powerful GPU computing power can better meet the depth of Learning the computing power requirements for training, reasoning, and analysis helps companies promote the in-depth application of AI in smart cities, smart manufacturing, and data-intensive scientific research.
Powerful GPU power to efficiently respond to real-time rendering needs
The popularity of the metaverse in the past two years has inspired the development of digital twin technology. Loading software programs through the server to create a new experience mode of realistic visual effects, immersive interaction and extremely fast connection experience has become a hot spot in the industry. Thus how to create such a real immersive entertainment experience? This requires the GPU server to have powerful real-time rendering capabilities. Different from traditional graphics rendering, real-time rendering focuses more on real-time interactivity. The essence of real-time rendering is the real-time calculation and output of image data, which requires a picture to be rendered and displayed in a short time, and the next picture to be rendered and displayed at the same time. At present, real-time rendering is widely used in digital twin smart cities, smart factories, 3D games, industrial design, virtual reality, disaster simulation and product display and other fields. In addition, the high cost of existing GPU cards often discourages users. Customers are very sensitive to single-card TCO and urgently need to reduce costs. One CPU of Gooxi 4U 8-GPU server is equipped with multiple graphics cards, which can fully utilize server resources through load balancing, greatly shorten the production cycle, and improve the overall work efficiency.
Gooxi 4U 8-GPU server
-Perfect for graphics rendering needs. On the basis of in-depth understanding of customer business needs, Gooxi is designed for high-computing performance, real-time response, high-cost performance, security and reliability of servers in graphics scenarios.
-Flexible and efficient configuration. In order to meet various application scenarios, this GPU server is equipped with 4* 2.5-inch SATA/SAS hard disks at the rear, and customers can choose to expand to 8* 2.5" SATA/SAS/NVMe hard disks according to their needs.
-Optimized thermal design. The structure of the whole machine fully takes into account the optimization of heat dissipation, and the front and rear fans are configured to support high-temperature working environments.
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