NVIDIA introduces Blackwell Ultra: A New Era for AI Development

NVIDIA introduces Blackwell Ultra: A Leap into AI Reasoning

Today, nVidia is taking a bold step forward by launching the NVIDIA Blackwell Ultra, the next iteration of its AI factory platform. This upgrade is more than just a performance boost; it’s a significant milestone that sets the stage for what’s next in the world of AI reasoning. With Blackwell Ultra, NVIDIA is enhancing how organizations can scale their AI applications, making it easier to tackle everything from complex problem-solving to autonomous decision-making.

What’s New in Blackwell Ultra?

At the heart of Blackwell Ultra is the architecture that NVIDIA introduced last year. This new platform features the NVIDIA GB300 NVL72 rack-scale solution and the NVIDIA HGX B300 NVL16 system. The GB300 NVL72 is a powerhouse, delivering 1.5 times the AI performance of its predecessor, the GB200 NVL72. What does this mean for businesses? Essentially, it opens up a whopping 50 times more revenue potential for AI factories compared to those built on the older Hopper architecture.

Jensen Huang, NVIDIA’s founder and CEO, put it succinctly: “AI has made a giant leap—reasoning and agentic AI demand orders of magnitude more computing performance.” With Blackwell Ultra, NVIDIA aims to meet that demand head-on, providing a versatile platform that can handle everything from pretraining to post-training and reasoning AI inference.

The Power of AI Reasoning

So, what exactly does Blackwell Ultra bring to the table? The NVIDIA GB300 NVL72 connects 72 Blackwell Ultra GPUs and 36 ArmNeoverse-based NVIDIA Grace CPUs in a single rack-scale design. This setup acts like one colossal GPU, making it ideal for test-time scaling. With this increased computational capacity, AI models can explore various solutions to complex problems and break down intricate requests into manageable steps. The result? Higher-quality responses that can significantly improve user experiences.

And there’s more! The GB300 NVL72 will also be accessible on the NVIDIA DGX Cloud, a fully managed AI platform that optimizes performance for evolving workloads. This means businesses can leverage the power of Blackwell Ultra without the hassle of managing the infrastructure themselves.

Breaking Records in AI Performance

The NVIDIA HGX B300 NVL16 is another standout, boasting 11 times faster inference on large language models, 7 times more compute power, and 4 times larger memory compared to its Hopper generation predecessor. This is a game-changer for complex workloads, particularly in the realm of AI reasoning.

Blackwell Ultra’s versatility extends to various applications, including:

–

Agentic AI

: This involves sophisticated reasoning and iterative planning, allowing systems to autonomously tackle complex, multistep problems.
–

Physical AI

: This technology enables companies to create synthetic, photorealistic videos in real-time, which can be invaluable for training applications like robotics and autonomous vehicles.

Seamless Integration for Optimal Performance

To achieve top-notch performance, advanced scale-out networking is crucial. Blackwell Ultra systems integrate effortlessly with NVIDIA’s Spectrum-X Ethernet and Quantum-X800 InfiniBand platforms, offering a staggering 800 Gb/s data throughput for each GPU in the system. This means that AI factories and cloud data centers can handle complex AI reasoning models without running into bottlenecks.

Additionally, the inclusion of NVIDIA BlueField -3 DPUs enhances networking capabilities, providing multi-tenant support, GPU compute elasticity, and even real-time cybersecurity threat detection.

A Bright Future with Blackwell Ultra

Looking ahead, Blackwell Ultra-based products are set to launch from various partners in the latter half of 2025. Tech giants like Cisco, Dell Technologies, and Hewlett Packard Enterprise will be among those delivering servers powered by Blackwell Ultra. Cloud service providers such as Amazon Web Services, Google Cloud, and Microsoft Azure will also be among the first to offer Blackwell Ultra-powered instances.

Innovative Software to Support AI Growth

NVIDIA isn’t stopping at hardware. The entire Blackwell product lineup is backed by the comprehensive NVIDIA AI platform. The newly announced NVIDIA Dynamo is designed to scale reasoning AI services, enhancing throughput while slashing response times and model serving costs. It orchestrates inference across thousands of GPUs, ensuring that each phase of large language model processing is optimized for peak performance.

In short, Blackwell Ultra is a testament to NVIDIA’s commitment to pushing the boundaries of what’s possible in AI. With a robust ecosystem of development tools and over 6 million developers leveraging NVIDIA’s technology, the future of AI reasoning looks incredibly promising. Are you ready to join this exciting journey?

Background Information

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About Dell:

Dell is a globally technology leader providing comprehensive solutions in the field of hardware, software, and services. for its customizable computers and enterprise solutions, Dell offers a diverse range of laptops, desktops, servers, and networking equipment. With a commitment to innovation and customer satisfaction, Dell caters to a wide range of consumer and business needs, making it a important player in the tech industry.

  

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About Google:

Google, founded by Larry Page and Sergey Brin in 1998, is a multinational technology company known for its internet-related services and products. Initially for its search engine, Google has since expanded into various domains including online advertising, cloud computing, software development, and hardware devices. With its innovative approach, Google has introduced influential products such as Google Search, Android OS, Google Maps, and Google Drive. The company's commitment to research and development has led to advancements in artificial intelligence and machine learning.

  

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About Microsoft:

Microsoft, founded by Bill Gates and Paul Allen in 1975 in Redmond, Washington, USA, is a technology giant known for its wide range of software products, including the Windows operating system, Office productivity suite, and cloud services like Azure. Microsoft also manufactures hardware, such as the Surface line of laptops and tablets, Xbox gaming consoles, and accessories.

  

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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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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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