ASUS is revolutionizing AI infrastructure with their powerful ASUS AI POD, featuring technology and comprehensive services, to drive client success in an increasingly AI-driven world.
- Powerful configuration with 72 NVIDIA Blackwell GPUs
- 30X boost in real-time inference performance
- Comprehensive service model for tailored solutions
Introducing ASUS AI POD: A Game Changer in AI Infrastructure
Exciting news from ASUS! The tech giant is gearing up to launch the ASUS AI POD, powered by the nVidia GB200 NVL72 platform, with production ramping up for a shipping date set for March 2025. ASUS is on a mission to deliver end-to-end solutions that encompass everything from AI supercomputing to cloud services. With a keen focus on driving AI adoption across various industries, ASUS is poised to help clients speed up their time to market with a comprehensive suite of products.
Unlocking the Potential: Proof of Concept Opportunity
In a move that’s sure to pique the interest of innovators, ASUS is rolling out a proof of concept (POC) for the ASUS AI POD, leveraging the incredible NVIDIA Blackwell platform. This exclusive opportunity is tailored for a select group of trailblazers eager to tap into the immense power of AI computing. Imagine being at the forefront of AI and deep learning solutions at an unprecedented scale! If you’re interested in seizing this limited-time offer, make sure to fill out the survey available at: forms.office.com/r/FrAbm5BfH2. The ASUS team, featuring specialists in the NVIDIA GB200, will be there to guide you through every step.
Unmatched Performance with ASUS AI POD
So, what makes the ASUS AI POD so special? For starters, it boasts a powerhouse configuration that includes 72 NVIDIA Blackwell GPUs, delivering a jaw-dropping 30X boost in real-time inference performance. It’s not just about raw power; this full-rack solution integrates GPUs, CPUs, and NVIDIA NVLink switches for ultra-fast, low-Latency communication. This means that whether you’re training trillion-parameter language models or performing real-time AI inference, you can expect exceptional speed and efficiency.
Technology for Superior Performance
At the heart of the ASUS AI POD is the fifth-generation NVIDIA NVLink technology, which allows for seamless communication and superior throughput. But that’s not all—ASUS has also incorporated advanced cooling solutions to keep things running smoothly. With options for both liquid-to-air and liquid-to-Liquid Cooling, this system is designed for energy-efficient AI computing while effectively managing heat dissipation.
Revolutionizing AI Infrastructure
ASUS is not just about the hardware; they’re redefining AI infrastructure with a comprehensive service model. This includes everything from design and construction to implementation, testing, and deployment. Their meticulous approach integrates seamlessly with cloud application services, ensuring tailored solutions that help clients accelerate their time-to-market.
In essence, the ASUS AI POD with NVIDIA GB200 NVL72 represents a transformative leap in AI infrastructure. With comprehensive service and customized architecture, ASUS is committed to driving client success in an increasingly AI-driven world. Are you ready to be part of this revolution?

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Background Information
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.Latest Articles about ASUS
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.Latest Articles about nVidia
Technology Explained
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
Latest Articles about Blackwell
Latency: Technology latency is the time it takes for a computer system to respond to a request. It is an important factor in the performance of computer systems, as it affects the speed and efficiency of data processing. In the computer industry, latency is a major factor in the performance of computer networks, storage systems, and other computer systems. Low latency is essential for applications that require fast response times, such as online gaming, streaming media, and real-time data processing. High latency can cause delays in data processing, resulting in slow response times and poor performance. To reduce latency, computer systems use various techniques such as caching, load balancing, and parallel processing. By reducing latency, computer systems can provide faster response times and improved performance.
Latest Articles about Latency
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.
Latest Articles about Liquid Cooling
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