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Foxconn to Build Taiwan's Fastest AI Supercomputer With NVIDIA Blackwell

NVIDIA and Foxconn are building Taiwan's largest supercomputer, marking a milestone in the island's AI advancement. The project, Hon Hai Kaohsiung Super Computing Center, revealed Tuesday at Hon Hai Tech Day, will be built around NVIDIA's groundbreaking Blackwell architecture and feature the GB200 NVL72 platform, which includes a total of 64 racks and 4,608 Tensor Core GPUs. With an expected performance of over 90 exaflops of AI performance, the machine would easily be considered the fastest in Taiwan.

Foxconn plans to use the supercomputer, once operational, to power breakthroughs in cancer research, large language model development and smart city innovations, positioning Taiwan as a global leader in AI-driven industries. Foxconn's "three-platform strategy" focuses on smart manufacturing, smart cities and electric vehicles. The new supercomputer will play a pivotal role in supporting Foxconn's ongoing efforts in digital twins, robotic automation and smart urban infrastructure, bringing AI-assisted services to urban areas like Kaohsiung.

Supermicro Launches Plug-and-Play SuperCluster for NVIDIA Omniverse

Supermicro, Inc., a Total IT Solution Provider for AI, Cloud, Storage, and 5G/Edge, is announcing a new addition to its SuperCluster portfolio of plug-and-play AI infrastructure solutions for the NVIDIA Omniverse platform to deliver the high-performance generative AI-enhanced 3D workflows at enterprise scale. This new SuperCluster features the latest Supermicro NVIDIA OVX systems and allows enterprises to easily scale as workloads increase.

"Supermicro has led the industry in developing GPU-optimized products, traditionally for 3D graphics and application acceleration, and now for AI," said Charles Liang, president and CEO of Supermicro. "With the rise of AI, enterprises are seeking computing infrastructure that combines all these capabilities into a single package. Supermicro's SuperCluster features fully interconnected 4U PCIe GPU NVIDIA-Certified Systems for NVIDIA Omniverse, with up to 256 NVIDIA L40S PCIe GPUs per scalable unit. The system helps deliver high performance across the Omniverse platform, including generative AI integrations. By developing this SuperCluster for Omniverse, we're not just offering a product; we're providing a gateway to the future of application development and innovation."

NVIDIA Modulus & Omniverse Drive Physics-informed Models and Simulations

A manufacturing plant near Hsinchu, Taiwan's Silicon Valley, is among facilities worldwide boosting energy efficiency with AI-enabled digital twins. A virtual model can help streamline operations, maximizing throughput for its physical counterpart, say engineers at Wistron, a global designer and manufacturer of computers and electronics systems. In the first of several use cases, the company built a digital copy of a room where NVIDIA DGX systems undergo thermal stress tests (pictured above). Early results were impressive.

Making Smart Simulations
Using NVIDIA Modulus, a framework for building AI models that understand the laws of physics, Wistron created digital twins that let them accurately predict the airflow and temperature in test facilities that must remain between 27 and 32 degrees C. A simulation that would've taken nearly 15 hours with traditional methods on a CPU took just 3.3 seconds on an NVIDIA GPU running inference with an AI model developed using Modulus, a whopping 15,000x speedup. The results were fed into tools and applications built by Wistron developers with NVIDIA Omniverse, a platform for creating 3D workflows and applications based on OpenUSD.

NVIDIA Omniverse Expands Worlds Using Apple Vision Pro

NVIDIA is bringing OpenUSD-based Omniverse enterprise digital twins to the Apple Vision Pro. Announced today at NVIDIA GTC, a new software framework built on Omniverse Cloud APIs, or application programming interfaces, lets developers easily send their Universal Scene Description (OpenUSD) industrial scenes from their content creation applications to the NVIDIA Graphics Delivery Network (GDN), a global network of graphics-ready data centers that can stream advanced 3D experiences to Apple Vision Pro.

In a demo unveiled at the global AI conference, NVIDIA presented an interactive, physically accurate digital twin of a car streamed in full fidelity to Apple Vision Pro's high-resolution displays. The demo featured a designer wearing the Vision Pro, using a car configurator application developed by CGI studio Katana on the Omniverse platform. The designer toggles through paint and trim options and even enters the vehicle - leveraging the power of spatial computing by blending 3D photorealistic environments with the physical world.
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