ASUS introduces Data-Center Solutions Empowered by MGX

nVidia GTC

ASUS has announced its participation in the nVidia GTC global AI conference, where it will be showcasing its latest GPU server innovations. The company will be exhibiting its ESC NM1-E1 and ESC NM2-E1 servers, powered by the NVIDIA MGX modular reference architecture, which aims to accelerate AI supercomputing to new heights. ASUS is leveraging NVIDIA’s latest technologies, including the B200 Tensor Core GPU, GB200 Grace Blackwell Superchip, and H200 NVL, to deliver optimized AI server solutions across various industries.

In order to support enterprises in establishing their own generative AI environments, ASUS offers a wide range of servers, from entry-level to high-end GPU server solutions. They also provide liquid-cooled rack solutions to meet diverse workloads. The ASUS team, with their MLPerf expertise, optimizes hardware and software for large-language-model (LLM) training and inferencing, seamlessly integrating total AI solutions to meet the demanding landscape of AI supercomputing.

The new ASUS NVIDIA MGX-powered servers, ESC NM1-E1 and ESC NM2-E1, feature the NVIDIA GH200 Grace Hopper Superchip, offering high performance and efficiency. These servers integrate with NVIDIA BlueField-3 DPUs and ConnectX-7 network adapters, delivering a blazing data throughput of 400 Gb/s, making them ideal for enterprise AI development and deployment. When coupled with NVIDIA AI Enterprise software platform, the MGX-powered ESC NM1-E1 provides unmatched flexibility and scalability for AI-driven data centers, HPC, data analytics, and NVIDIA Omniverse applications.

As the demand for AI applications grows, so does the need for advanced server-cooling technology. ASUS direct-to-chip (D2C) cooling provides a quick and simple option that sets it apart from the competition. D2C can be rapidly deployed, reducing data center power-usage effectiveness (PUE) ratios. ASUS servers, such as ESC N8-E11 and RS720QN-E11-RS24U, support manifolds and cool plates, enabling diverse cooling solutions. Moreover, ASUS servers accommodate a rear-door heat exchanger compliant with standard rack-server designs, eliminating the need to replace all racks. Only the rear door is required to enable Liquid Cooling in the rack. By collaborating with industry-leading cooling solution providers, ASUS offers enterprise-grade comprehensive cooling solutions, minimizing data center PUE, carbon emissions, and energy consumption for greener data centers.

With its expertise in AI supercomputing, ASUS provides optimized server design and rack integration for data-intensive workloads. At GTC, ASUS will showcase the ESC4000A-E12, a no-code AI platform with an integrated software stack. This platform enables businesses to accelerate AI development on LLM pre-training, fine-tuning, and inference, reducing risks and time-to-market. ASUS also offers a comprehensive solution to support different LLM tokens, facilitating seamless server data dispatching. By optimizing GPU resource allocation for fine-tune training, the software stack ensures efficient resource utilization, maximizing efficiency and return on investment (ROI). The software-hardware synergy delivered by ASUS allows businesses to choose AI capabilities that best suit their needs, further enhancing ROI.

ASUS is collaborating with industrial partners, software experts, and domain-focused integrators to address the evolving requirements of enterprise IoT applications. These collaborations aim to offer turnkey server support for complete solutions, including full installation and testing for modern data-center, AI, and HPC applications.

Background Information

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About ASUS: ASUS, founded in 1989 by Ted Hsu, M.T. Liao, Wayne Hsieh, and T.H. Tung, has become a multinational tech giant known for its diverse hardware products. Spanning laptops, motherboards, graphics cards, and more, ASUS has gained recognition for its innovation and commitment to high-performance computing solutions. The company has a significant presence in gaming technology, producing popular products that cater to enthusiasts and professionals alike. With a focus on delivering and reliable technology, ASUS maintains its position as a important player in the industry.

  

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About nVidia: NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

  

Event Info

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About nVidia GTC: The NVIDIA GTC event is a premier gathering for innovators, researchers, and industry leaders to explore the latest advancements in GPU computing and artificial intelligence. Through presentations, workshops, and demonstrations, GTC showcases breakthroughs in deep learning, autonomous vehicles, healthcare, and scientific research, driving forward the evolution of technology and its impact on society.

Technology Explained

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GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

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Grace Blackwell: Grace Blackwell is a cutting-edge technology that has revolutionized the computer industry. It is a type of artificial intelligence that is designed to mimic human cognitive abilities, such as learning, problem-solving, and decision-making. This technology has been applied in various areas of the computer industry, including data analysis, natural language processing, and machine learning. For example, Grace Blackwell can analyze large amounts of data and identify patterns and trends, making it a valuable tool for businesses to make informed decisions. It can also understand and respond to human language, making it useful for virtual assistants and chatbots. Additionally, Grace Blackwell can continuously learn and improve its performance, making it an invaluable asset in the development of new technologies. Overall, Grace Blackwell has greatly enhanced the capabilities of computers and has opened up new possibilities for the future of technology.

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HPC: HPC, or High Performance Computing, is a type of technology that allows computers to perform complex calculations and process large amounts of data at incredibly high speeds. This is achieved through the use of specialized hardware and software, such as supercomputers and parallel processing techniques. In the computer industry, HPC has a wide range of applications, from weather forecasting and scientific research to financial modeling and artificial intelligence. It enables researchers and businesses to tackle complex problems and analyze vast amounts of data in a fraction of the time it would take with traditional computing methods. HPC has revolutionized the way we approach data analysis and has opened up new possibilities for innovation and discovery in various fields.

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Liquid Cooling: Liquid cooling is a technology used to cool down computer components, such as processors, graphics cards, and other components that generate a lot of heat. It works by circulating a liquid coolant, such as water or a special coolant, through a series of pipes and radiators. The liquid absorbs the heat from the components and then dissipates it into the air. This technology is becoming increasingly popular in the computer industry due to its ability to provide more efficient cooling than traditional air cooling methods. Liquid cooling can also be used to overclock components, allowing them to run at higher speeds than their rated speeds. This technology is becoming increasingly popular in the gaming industry, as it allows gamers to get the most out of their hardware.

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LLM: A Large Language Model (LLM) is a highly advanced artificial intelligence system, often based on complex architectures like GPT-3.5, designed to comprehend and produce human-like text on a massive scale. LLMs possess exceptional capabilities in various natural language understanding and generation tasks, including answering questions, generating creative content, and delivering context-aware responses to textual inputs. These models undergo extensive training on vast datasets to grasp the nuances of language, making them invaluable tools for applications like chatbots, content generation, and language translation.