NVIDIA Turbocharges Hopper: The Pinnacle of AI Computing Unleashed

nVidia, the AI computing platform, has launched its latest innovation, the NVIDIA HGX H200, which promises to revolutionize the field of artificial intelligence and high-performance computing. Built on the impressive NVIDIA Hopper architecture, this platform features the NVIDIA H200 Tensor Core GPU, equipped with advanced memory capabilities to handle massive amounts of data for generative AI and HPC workloads.

One of the standout features of the NVIDIA H200 is its incorporation of HBM3E, a faster and larger memory solution that significantly enhances the acceleration of generative AI and large language models. With a whopping 141 GB of memory and an impressive bandwidth of 4.8 terabytes per second, the H200 offers nearly double the capacity and 2.4 times more bandwidth compared to its predecessor, the NVIDIA A100. This upgrade paves the way for more efficient processing of vast amounts of data at high speeds, making it an ideal choice for tackling complex challenges in various industries.

The arrival of the NVIDIA H200 is set to deliver remarkable performance leaps, thanks to its innovative Hopper architecture. In fact, it is projected to achieve nearly double the inference speed on Llama 2, a 70 billion-parameter language model (LLM), in comparison to the H100. Moreover, future software updates are expected to further enhance the performance and leadership of the H200, solidifying its position as a frontrunner in the AI supercomputing landscape.

The NVIDIA H200 will be available in two different form factors: the NVIDIA HGX H200 server boards, which come in four- and eight-way configurations and are compatible with both hardware and software of HGX H100 systems, and the NVIDIA GH200 Grace Hopper Superchip with HBM3e. These options ensure that the H200 can be seamlessly integrated into various data center environments, including on-premises, cloud, hybrid-cloud, and edge setups. NVIDIA’s extensive network of partner server manufacturers, such as ASRock Rack, ASUS, Dell Technologies, and Lenovo, among others, will have the capability to update their existing systems with the H200.

Leading cloud service providers, including Amazon Web Services, Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure, are set to deploy H200-based instances in the near future. Additionally, CoreWeave, Lambda, and Vultr are also expected to join the ranks of early adopters. Powered by NVIDIA’s NVLink and NVSwitch high-speed interconnects, the HGX H200 offers unparalleled performance across various application workloads, particularly in LLM training and inference for models exceeding 175 billion parameters.

An eight-way HGX H200 configuration boasts an impressive 32 Petaflops of FP8 deep learning compute and an aggregate high-bandwidth memory of 1.1 TB. This remarkable combination ensures optimal performance for generative AI and HPC applications. For those seeking even greater power, pairing the H200 with NVIDIA Grace CPUs and the ultra-fast NVLink-C2C interconnect results in the creation of the GH200 Grace Hopper Superchip with HBM3e. This integrated module is specifically designed to cater to giant-scale HPC and AI applications.

To accelerate AI development and deployment, NVIDIA offers a comprehensive suite of software tools that empower developers and enterprises to build and optimize applications across various domains, from AI to HPC. This includes the NVIDIA AI Enterprise suite, which encompasses a range of software solutions tailored for specific workloads such as speech recognition, recommender systems, and hyperscale inference.

The eagerly anticipated NVIDIA H200 will be available from global system manufacturers and cloud service providers starting in the second quarter of 2024. Its arrival is expected to propel AI computing to new heights, empowering researchers and businesses alike to tackle the world’s most pressing challenges with unprecedented speed and efficiency.

Background Information

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About ASRock:

ASRock is a important player in the computer hardware industry, particularly known for its wide range of innovative computer products. The company specializes in manufacturing motherboards, graphics cards, and mini-PCs that cater to diverse user needs, from gaming enthusiasts to professional content creators. ASRock's commitment to quality and technology has earned it a solid reputation among PC builders and users alike. With a focus on delivering high-performance components and reliable solutions, ASRock continues to contribute significantly to the advancement of computing technology.

  

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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.

  

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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 Lenovo:

Lenovo, formerly known as "Legend Holdings," is a important global technology company that offers an extensive portfolio of computers, smartphones, servers, and electronic devices. Notably, Lenovo acquired IBM's personal computer division, including the ThinkPad line of laptops, in 2005. With a strong presence in laptops and PCs, Lenovo's products cater to a wide range of consumer and business needs. Committed to innovation and quality, Lenovo delivers reliable and high-performance solutions, making it a significant player in the tech industry.

  

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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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About Oracle:

Oracle Corporation is a important American multinational technology company founded in 1977 and headquartered in Redwood City, California. It's one of the world's largest software and cloud computing companies, known for its enterprise software products and services. Oracle specializes in developing and providing database management systems, cloud solutions, software applications, and hardware infrastructure. Their flagship product, the Oracle Database, is widely used in businesses and organizations worldwide. Oracle also offers a range of cloud services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

  

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Technology Explained

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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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HBM3E: HBM3E is the latest generation of high-bandwidth memory (HBM), a type of DRAM that is designed for artificial intelligence (AI) applications. HBM3E offers faster data transfer rates, higher density, and lower power consumption than previous HBM versions. HBM3E is developed by SK Hynix, a South Korean chipmaker, and is expected to enter mass production in 2024. HBM3E can achieve a speed of 1.15 TB/s and a capacity of 64 GB per stack. HBM3E is suitable for AI systems that require large amounts of data processing, such as deep learning, machine learning, and computer vision.

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LLM: A Large Language Model (LLM) is a highly advanced artificial intelligence system, often based on complex architectures like GPT-3.5, designed to comprehend and produce human-like text on a massive scale. LLMs possess exceptional capabilities in various natural language understanding and generation tasks, including answering questions, generating creative content, and delivering context-aware responses to textual inputs. These models undergo extensive training on vast datasets to grasp the nuances of language, making them invaluable tools for applications like chatbots, content generation, and language translation.

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