December 22, 2024

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AI Factories Take Center Stage: Computer Industry Unites with NVIDIA to Build the Future

 

At COMPUTEX 2024, NVIDIA announced a major leap forward in AI infrastructure with the introduction of the NVIDIA Blackwell architecture. This new platform is designed to power the next generation of “AI factories” – data centers specifically built to handle the demands of large-scale artificial intelligence applications.

Blackwell Powers a New Era of AI

Jensen Huang, founder and CEO of NVIDIA, emphasized the transformative potential of Blackwell. He stated that companies and governments are partnering with NVIDIA to build these AI factories, creating a “new type of data center” that produces “artificial intelligence” as a commodity.

A Range of Solutions for Diverse Needs

To cater to various applications, NVIDIA and its partners – leading computer manufacturers like ASRock, ASUS, and GIGABYTE – will offer a wide range of systems based on the Blackwell architecture. These systems will come in various configurations, including:

  • Single or multi-GPU options
  • x86 or Grace-based processors
  • Air or liquid cooling solutions

Speeding Up Development with Modular Design

The NVIDIA MGX modular reference design platform is now compatible with Blackwell products, allowing manufacturers to develop systems of different sizes and configurations faster. This includes the new NVIDIA GB200 NVL2 platform, ideal for tasks like large language model inference and data processing.

GB200 NVL2: Powerful and Efficient

The GB200 NVL2 platform is particularly suited for data analytics, a multi-billion dollar market. It leverages high-bandwidth memory and dedicated decompression engines in the Blackwell architecture to offer:

  • Up to 18x faster data processing compared to x86 CPUs
  • 8x better energy efficiency

MGX Reference Architecture: Faster Development for Everyone

The NVIDIA MGX reference architecture provides a blueprint for manufacturers to quickly and cost-effectively build custom AI systems. This reduces development costs by up to 75% and development time to just six months.

Broad Industry Support for MGX

Both AMD and Intel are joining the MGX ecosystem for the first time, offering their own CPU host processor module designs compatible with the reference architecture. This allows server builders to leverage the benefits of MGX while using their preferred CPU technology.

NVIDIA GB200 NVL2: The Latest Addition to the Blackwell Family

The GB200 NVL2 platform utilizes the MGX reference design and the Blackwell architecture. Its single-node design allows for flexible configurations and networking options, making it easy to integrate with existing data center infrastructure.

A Comprehensive AI Ecosystem

NVIDIA fosters a comprehensive ecosystem for building AI factories. This includes partnerships with:

  • TSMC, a leading semiconductor manufacturer, for chip production.
  • Electronics makers like Amphenol and Cooler Master for server components.
  • Leading networking companies like Mellanox and Cumulus Networks for high-speed data transfer.
  • System builders like Dell, HPE, and Lenovo for server integration.

Software and Services for Production-Ready AI

The NVIDIA AI Enterprise software platform, including NVIDIA NIM inference microservices, empowers businesses to create and deploy production-grade generative AI applications.

Taiwan Embraces the Future of AI

Taiwanese companies are at the forefront of adopting Blackwell technology. Leading institutions like Chang Gung Memorial Hospital plan to use the platform for medical research and language applications. Additionally, Foxconn, a major electronics manufacturer, intends to leverage Blackwell for AI-powered electric vehicles, robotics, and personalized customer experiences.

The Future of AI is Here

With the introduction of the NVIDIA Blackwell architecture and its supporting ecosystem, NVIDIA is paving the way for a new era of AI innovation. By enabling the creation of powerful and efficient AI factories, this technology has the potential to revolutionize various industries.

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