The ASUS AI POD with NVIDIA GB200 NVL72 platform is prepared to increase production for its scheduled shipment in March.
With the NVIDIA GB200 NVL72 platform, ASUS announced that ASUS AI POD is prepared to ramp up manufacturing in preparation for its March 2025 shipping date. ASUS is still committed to offering complete software services and end-to-end solutions, including everything from cloud services to AI supercomputing. With a strong emphasis on encouraging the adoption of AI across industries, ASUS is well-positioned to provide a wide range of solutions that will enable clients to accelerate their time to market.
Proof of concept, funded by ASUS
In keeping with its promise to provide customers with outstanding value, ASUS is about to introduce a proof of concept (POC) for the ground-breaking ASUS AI POD, which will be powered by the NVIDIA Blackwell platform. Only a few innovators who are keen to fully utilise AI computing are now eligible for this unique opportunity. At extraordinary scale, innovators and businesses may directly witness the full potential of AI and deep learning solutions. Users will be guided through the next stages by the knowledgeable ASUS team of NVIDIA GB200 specialists.
ASUS AI POD with NVIDIA GB200 NVL72
With NVIDIA GB200 NVL72, ASUS AI POD effortlessly integrates GPUs, CPUs, and switches to give exceptional performance. The ASUS AI POD is perfect for applications like training trillion-parameter language models and carrying out real-time AI inference because it uses the NVIDIA GB200 Grace Blackwell Superchip and fifth-generation NVIDIA NVLink interconnect technology, which provide exceptional performance and energy efficiency.
- Outstanding AI capabilities: With 72 NVIDIA Blackwell GPUs, this machine achieves an astounding 30X increase in real-time inference performance.
- Full-rack solution: Accelerates trillion-parameter LLM training and inference by integrating GPUs, CPUs, and NVIDIA NVLink Switches for ultrafast, low-latency communication.
- Fifth-generation NVIDIA NVLink technology is featured in this high-speed interconnect, allowing for smooth communication and excellent throughput.
- Advanced cooling portfolio: Enables energy-efficient AI compute performance while guaranteeing efficient heat dissipation by supporting both liquid-to-air and liquid-to-liquid cooling solutions.
Transformative AI infrastructure
Advanced liquid-cooling solutions have also been incorporated by ASUS at the cabinet level. These consist of cooling towers, coolant-distribution units, and CPU/GPU cold plates, all of which are painstakingly engineered to maximise power-usage effectiveness (PUE) in data centres while minimising power consumption.
With a comprehensive service model that covers everything from design and building to implementation, testing, and deployment, ASUS is redefining AI infrastructure. This comprehensive strategy ensures customised solutions that shorten clients’ time-to-market by integrating easily with cloud application services.
The ASUS AI POD with NVIDIA GB200 NVL72 highlights a revolutionary advancement in AI technology. Client success is also accelerated by ASUS’s comprehensive service and tailored architecture.
In conclusion
An important advancement in AI infrastructure will be the March 2025 delivery of the ASUS AI POD with NVIDIA GB200 NVL72. The AI POD is well-positioned to boost customer success in a variety of industries because to its outstanding performance, thorough integration, and cutting-edge cooling solutions. ASUS’s dedication to offering comprehensive solutions and encouraging the adoption of AI highlights its position as a pioneer in the rapidly changing field of artificial intelligence.
FAQs
1. What is the ASUS AI POD?
The NVIDIA GB200 NVL72 platform powers the high-performance AI computing solution known as the ASUS AI POD. It is made for complex AI tasks including deep learning, real-time AI applications, and training and inference for large language models (LLMs).
2. What industries can benefit from the ASUS AI POD?
Many different sectors that want to use AI technologies will benefit from the ASUS AI POD. Because of its great performance and energy economy, it can be used in a variety of fields where real-time inference and large-scale AI model training are essential, including healthcare, finance, and research.
