NVIDIA’s Blackwell Platform releases Next-Gen Computing, Ushering in a New Era

nVidia, a leading technology company specializing in graphics processing units (GPUs), has launched its latest innovation—the NVIDIA Blackwell platform. This platform enables organizations to build and run real-time generative artificial intelligence (AI) on large language models with up to 25 times less cost and energy consumption than its predecessor.

The Blackwell GPU architecture incorporates six transformative technologies that will revolutionize various industries such as data processing, engineering simulation, electronic design automation, computer-aided drug design, Quantum Computing, and generative AI. NVIDIA’s founder and CEO, Jensen Huang, stated that generative AI is the defining technology of our time, and the Blackwell platform is the engine that will drive this new industrial revolution.

Several important organizations, including Amazon Web Services, Dell Technologies, Google, Meta, Microsoft, OpenAI, Oracle, Tesla, and xAI, are expected to adopt the Blackwell platform. Sundar Pichai, CEO of Alphabet and Google, emphasized the importance of investing in infrastructure for AI platforms and expressed excitement about incorporating the Blackwell GPU into their cloud services.

Andy Jassy, president and CEO of Amazon, highlighted the long-standing collaboration between NVIDIA and AWS and how the Blackwell GPU will enhance their AI research and development efforts. Michael Dell, founder and CEO of Dell Technologies, emphasized the critical role of generative AI in creating smarter systems and expressed enthusiasm for working with NVIDIA to drive innovation across industries.

Demis Hassabis, co-founder and CEO of Google DeepMind, acknowledged the transformative potential of AI in solving scientific problems and praised the technological capabilities of the Blackwell GPU. Mark Zuckerberg, founder and CEO of Meta, emphasized the importance of AI in powering their products and expressed excitement about using the Blackwell GPU to train their open-source Llama models.

Satya Nadella, executive chairman and CEO of Microsoft, emphasized their commitment to offering advanced infrastructure for AI workloads and highlighted the integration of the GB200 Grace Blackwell processor into their data centers globally. Sam Altman, CEO of OpenAI, praised the performance leaps offered by the Blackwell platform and expressed excitement about enhancing AI compute capabilities.

Larry Ellison, chairman and CTO of Oracle, emphasized the collaboration between Oracle and NVIDIA in enabling breakthroughs in AI, machine learning, and data analytics. Elon Musk, CEO of Tesla and xAI, simply stated that there is currently nothing better than NVIDIA hardware for AI.

Named in honor of mathematician David Harold Blackwell, the first Black scholar inducted into the National Academy of Sciences, the Blackwell architecture succeeds the NVIDIA Hopper architecture. It incorporates six revolutionary technologies that enable AI training and real-time large language model inference.

The Blackwell GPU is packed with 208 billion transistors and manufactured using a custom-built 4NP TSMC process. It features a second-generation transformer engine, fifth-generation NVLink for high-speed communication, a RAS engine for reliability and serviceability, secure AI capabilities for data protection, and a dedicated decompression engine for accelerated data processing.

The NVIDIA GB200 Grace Blackwell Superchip, a key component of the Blackwell platform, connects two B200 Tensor Core GPUs to the NVIDIA Grace CPU. It offers high AI performance and can be connected with advanced networking platforms for seamless communication.

The Blackwell platform will be available from various partners, including cloud service providers like AWS, Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure. It will also be supported by leading server manufacturers such as Cisco, Dell, Hewlett Packard Enterprise, Lenovo, and Supermicro. Additionally, software makers like Ansys, Cadence, and Synopsys will utilize Blackwell-based processors to accelerate their software for designing and simulating systems and parts.

The Blackwell platform is backed by NVIDIA AI Enterprise, an end-to-end operating system for production-grade AI. It includes AI frameworks, libraries, and tools that enterprises can deploy on NVIDIA-accelerated clouds, data centers, and workstations. With the Blackwell platform, NVIDIA is set to revolutionize the world of AI computing and drive innovation across industries.

Background Information

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About Alphabet:

Alphabet Inc. is the parent company of Google and several other subsidiaries. Alphabet was founded in 2015 as part of a corporate restructuring of Google. The company's headquarters are in Mountain View, California, USA. It is involved in various technology-related businesses, including internet services, self-driving cars, and more.

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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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About Supermicro:

Supermicro is a reputable American technology company founded in 1993 and headquartered in San Jose, California. Specializing in high-performance server and storage solutions, Supermicro has become a trusted name in the data center industry. The company offers a wide range of innovative and customizable server hardware, including motherboards, servers, storage systems, and networking equipment, catering to the needs of enterprise clients, cloud service providers, and businesses seeking reliable infrastructure solutions.

  

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About Synopsys:

Synopsys is a important American software company that specializes in electronic design automation (EDA) and semiconductor intellectual property. Founded in 1986, Synopsys provides tools and solutions for designing and testing complex integrated circuits and electronic systems. Their software aids in the development of semiconductors, electronic products, and software applications, playing a crucial role in advancing technological innovation across various industries. For more detailed information about their products and contributions, you can visit their official website at

  

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About TSMC:

TSMC, or Taiwan Semiconductor Manufacturing Company, is a semiconductor foundry based in Taiwan. Established in 1987, TSMC is a important player in the global semiconductor industry, specializing in the manufacturing of semiconductor wafers for a wide range of clients, including technology companies and chip designers. The company is known for its semiconductor fabrication processes and plays a critical role in advancing semiconductor technology worldwide.

  

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Technology Explained

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AWS: Amazon Web Services (AWS) is a cloud platform powered by Amazon that enables users to access cloud computing services, such as storage, data analytics, and distributed computing. It offers users the ability to utilize both on-demand and pay-as-you-go computing services, making it a great option for the computer industry. It offers a wide range of services with great flexibility for a variety of uses. It can help companies build powerful web and mobile applications, run large-scale analytics, quickly provision servers and other services, design sophisticated architectures for data storage, and more. AWS provides access to a wide range of services such as virtualization, storage, database, monitoring, analytics, and other services that can help organizations increase agility, manage complexity, and remain on the cutting edge of technology. Many big and famous organizations use AWS services to give them a competitive edge, and more and more companies are turning to this service for their computer needs.

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CPU: The Central Processing Unit (CPU) is the brain of a computer, responsible for executing instructions and performing calculations. It is the most important component of a computer system, as it is responsible for controlling all other components. CPUs are used in a wide range of applications, from desktop computers to mobile devices, gaming consoles, and even supercomputers. CPUs are used to process data, execute instructions, and control the flow of information within a computer system. They are also used to control the input and output of data, as well as to store and retrieve data from memory. CPUs are essential for the functioning of any computer system, and their applications in the computer industry are vast.

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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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Grace Blackwell: Grace Blackwell is a cutting-edge technology that has revolutionized the computer industry. It is a type of artificial intelligence that is designed to mimic human cognitive abilities, such as learning, problem-solving, and decision-making. This technology has been applied in various areas of the computer industry, including data analysis, natural language processing, and machine learning. For example, Grace Blackwell can analyze large amounts of data and identify patterns and trends, making it a valuable tool for businesses to make informed decisions. It can also understand and respond to human language, making it useful for virtual assistants and chatbots. Additionally, Grace Blackwell can continuously learn and improve its performance, making it an invaluable asset in the development of new technologies. Overall, Grace Blackwell has greatly enhanced the capabilities of computers and has opened up new possibilities for the future of technology.

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Quantum Computing: Quantum computing is a type of advanced computing that takes advantage of the strange behaviors of very small particles. It's like having a supercharged computer that can solve incredibly complex problems much faster than regular computers. It does this by using special "bits" that can be both 0 and 1 at the same time, which allows it to process information in a very unique way. This technology has the potential to make a big impact in areas like data security and solving really tough scientific challenges, but there are still some technical hurdles to overcome before it becomes widely useful.

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