ASRock Rack introduces Advanced AI Server Solutions at GTC 2025 Event

ASRock Rack introduces Next-Gen AI Servers at GTC 2025

Get ready, tech enthusiasts! ASRock Rack Inc., a frontrunner in the server innovation game, is gearing up to showcase its latest and greatest AI server lineup at GTC 2025 in SAN Jose, California, from March 18-21. This isn’t just any display; we’re talking about high-performance solutions that promise to revolutionize the way we think about AI. Among the stars of the show are next-gen AI servers powered by the NVIDIA Blackwell Ultra platform and the RTX PRO 6000 Blackwell Server Edition. And let’s not forget the debut of the eye-catching liquid-cooled 4U8X-GNR2!

The Rise of Agentic AI

Have you ever wondered how autonomous systems can perceive, decide, and act? Well, the concept of Agentic AI is gaining serious traction across various industries, from healthcare to robotics. With the increasing demand for real-time interactions and adaptive learning, the need for accelerated computing servers is more critical than ever. ASRock Rack is stepping up to the plate, showcasing servers that leverage the latest nVidia Blackwell Ultra technology. This isn’t just an upgrade; it’s a leap into a new era of AI reasoning and applications.

Unleashing Unmatched Power with XGMRACK

One of the standout features at the event will be the liquid-cooled rack-scale solution, XGMRACK. This powerhouse is built on the NVIDIA GB300 NVL72 platform, connecting a staggering 36 NVIDIA Grace CPUs and 72 Blackwell Ultra GPUs. What does this mean for AI? An increase in AI FLOPS, over 20 TB of HBM3E memory for the largest models, and seamless networking integration with NVIDIA Quantum-X800 InfiniBand and Spectrum-X Ethernet. It’s not just about raw power—ASRock Rack is also focusing on energy efficiency, ensuring that every component, from the NVIDIA superchip to the power distribution board, is optimized for peak performance.

Meet the 8U16X-GNR2: A Game Changer

Let’s talk about the ASRock Rack 8U16X-GNR2, an air-cooled AI server that’s turning heads. Equipped with an NVIDIA HGX B300 NVL16 baseboard, this server boasts 16 NVIDIA Blackwell Ultra GPUs and a whopping 2.3 TB of HBM3e memory. It’s engineered for data centers that demand serious AI workloads and large-scale computations. If you’re in the business of heavy lifting, this server is designed to deliver breakthrough performance.

The Future of AI Innovation

“The rise of test-time scaling, exemplified by models like OpenAI’s o3 and DeepSeek R1, underscores the growing demand for compute-intensive reasoning,” says Weishi Sa, President of ASRock Rack. With AI evolving at lightning speed, ASRock Rack is committed to expanding its server portfolio in collaboration with NVIDIA. This partnership is all about powering the future of AI and helping enterprises achieve remarkable breakthroughs in innovation.

Spotlight on the 4UXGM-GNR2

On the show floor, you’ll also find the 4UXGM-GNR2, based on the NVIDIA MGX modular reference architecture, along with the NVIDIA RTX PRO 6000 Blackwell. This data center GPU is a game-changer, offering multi-workload acceleration for generative AI, visual computing, and video applications across sectors like geoscience, manufacturing, retail, and live broadcasting. ASRock Rack’s demo will highlight their commitment to empowering professionals to transform their work at every level.

Exploring Scalable AI Solutions

As the demand for scalable AI solutions continues to grow, technologies like Agentic AI and real-time video generation are becoming essential for the next wave of innovation. “These advancements expand AI’s potential across industries,” notes Kaustubh Sanghani, Vice President of GPU Products at NVIDIA. It’s exciting to see ASRock Rack stepping up with a diverse range of products that harness the power of NVIDIA Blackwell Ultra and the NVIDIA RTX PRO 6000 Blackwell Server Edition.

Join Us at Booth #1800

If you’re attending GTC 2025, make sure to swing by Booth #1800. You’ll have the chance to explore the liquid-cooled 4U8X-GNR2/DLC SYN, which features the NVIDIA HGX B200 8-GPU. This system is optimized for GPU-to-CPU performance and is ready to tackle large language models and high-performance computing tasks. It’s a thrilling time to be in the world of AI, and ASRock Rack is right at the forefront of this exciting evolution. Don’t miss out!

Background Information

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About ASRock:

ASRock is a important player in the computer hardware industry, particularly known for its wide range of innovative computer products. The company specializes in manufacturing motherboards, graphics cards, and mini-PCs that cater to diverse user needs, from gaming enthusiasts to professional content creators. ASRock's commitment to quality and technology has earned it a solid reputation among PC builders and users alike. With a focus on delivering high-performance components and reliable solutions, ASRock continues to contribute significantly to the advancement of computing technology.

  

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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.

  

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Technology Explained

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Blackwell: Blackwell is an AI computing architecture designed to supercharge tasks like training large language models. These powerful GPUs boast features like a next-gen Transformer Engine and support for lower-precision calculations, enabling them to handle complex AI workloads significantly faster and more efficiently than before. While aimed at data centers, the innovations within Blackwell are expected to influence consumer graphics cards as well

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CPU: The Central Processing Unit (CPU) is the brain of a computer, responsible for executing instructions and performing calculations. It is the most important component of a computer system, as it is responsible for controlling all other components. CPUs are used in a wide range of applications, from desktop computers to mobile devices, gaming consoles, and even supercomputers. CPUs are used to process data, execute instructions, and control the flow of information within a computer system. They are also used to control the input and output of data, as well as to store and retrieve data from memory. CPUs are essential for the functioning of any computer system, and their applications in the computer industry are vast.

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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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HBM3E: HBM3E is the latest generation of high-bandwidth memory (HBM), a type of DRAM that is designed for artificial intelligence (AI) applications. HBM3E offers faster data transfer rates, higher density, and lower power consumption than previous HBM versions. HBM3E is developed by SK Hynix, a South Korean chipmaker, and is expected to enter mass production in 2024. HBM3E can achieve a speed of 1.15 TB/s and a capacity of 64 GB per stack. HBM3E is suitable for AI systems that require large amounts of data processing, such as deep learning, machine learning, and computer vision.

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SAN: A Storage Area Network (SAN) is a high-speed and specialized network architecture designed to facilitate the connection of storage devices, such as disk arrays and tape libraries, to servers. Unlike traditional network-attached storage (NAS), which is file-based, SAN operates at the block level, enabling direct access to storage resources. SANs are known for their performance, scalability, and flexibility, making them ideal for data-intensive applications, large enterprises, and environments requiring high availability. SANs typically employ Fibre Channel or iSCSI protocols to establish dedicated and fast communication paths between servers and storage devices. With features like centralized management, efficient data replication, and snapshot capabilities, SANs offer advanced data storage, protection, and management options. Overall, SAN technology has revolutionized data storage and management, enabling organizations to efficiently handle complex storage requirements and ensure reliable data access.

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