ASUS has launched a comprehensive range of AI infrastructure solutions, marking a significant step forward in the AI server market. The company’s new offerings cater to a wide range of AI-driven applications, including edge computing, inference, and generative AI, pushing the boundaries of AI supercomputing.
ASUS’s expertise in balancing hardware and software solutions and proficiency in infrastructure design, server installation, and cloud services positions the brand as a leader in driving AI innovation across various industries.
Comprehensive AI infrastructure for diverse needs
ASUS’s new AI solutions are the result of collaborations with tech giants NVIDIA, Intel, and AMD. These partnerships have enabled ASUS to offer a range of AI infrastructure solutions, from entry-level AI servers to full-scale data centres for supercomputing.
The ESC AI POD is leading this lineup, equipped with NVIDIA GB200 NVL72, designed to accelerate trillion-token LLM training and real-time inference. With the integration of NVIDIA Blackwell GPUs, NVIDIA Grace CPUs, and 5th Gen NVIDIA NVLink technology, these servers deliver unparalleled computing power and efficiency.
ASUS offers eight-GPU systems featuring the latest NVIDIA Blackwell HGX, AMD MI300X, and Intel Gaudi 3 solutions for those focused on generative AI. These scalable systems can handle digital-twin applications, high-performance computing (HPC) workloads, AI infrastructure, and cloud services, offering a versatile solution for diverse AI needs.
Ready-to-deploy AI platforms and software
ASUS stands out in the AI market with its ready-to-deploy AI platforms and software solutions. These platforms can be rapidly customised and deployed across various industries, often within just eight weeks. The ASUS team provides comprehensive data-centre software solutions, including cluster deployment, billing systems, and generative AI tools, ensuring customers receive up-to-date OS verification, security updates, and service patches.
ASUS also offers critical verification and acceptance services to ensure smooth and reliable operation in real-world environments. The company’s rigorous checks on power, network, GPU cards, voltage, and temperature are designed to prevent issues before they arise, guaranteeing dependable operation under full load. This meticulous approach ensures that ASUS solutions are scalable, flexible, and future-proof, meeting the evolving needs of AI-driven industries.
ASUS’s expertise in AI supercomputing
ASUS has already demonstrated its expertise in AI supercomputing through several world-class projects. Notable examples include Taiwania 2, Taiwania 4 (Forerunner 1), Ubilink.AI, and Yotta in India. These projects highlight ASUS’s ability to deliver cutting-edge AI solutions.
The Forerunner 1 project, in particular, showcases ASUS’s commitment to overcoming challenges and achieving remarkable milestones. The project achieved an industry-leading Power Usage Effectiveness (PUE) of 1.17, reflecting ASUS’s dedication to sustainability and innovative solutions.
With its comprehensive AI offerings, ASUS is well-equipped to navigate the rapidly evolving AI landscape. The company’s focus on hardware, software, and real-time support ensures that customers can confidently achieve their research and innovation goals.
