NVIDIA Blackwell Platform Arrives to Power a New Era of Computing
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Insights
The announcement of NVIDIA's new Blackwell platform is a significant development in the field of high-performance computing and artificial intelligence. The introduction of this technology has the potential to disrupt the current market by offering a more cost-effective and energy-efficient solution for running large language models (LLMs), which are critical for tasks such as natural language processing and machine learning.
From a technological standpoint, the six transformative technologies within the Blackwell GPU architecture could lead to advancements in several sectors, including data processing and computer-aided drug design. This has implications for a wide range of industries, as the ability to process data more efficiently can lead to faster innovation cycles and potentially lower research and development costs.
Furthermore, the widespread adoption of Blackwell by major cloud providers and server makers indicates a robust market confidence in NVIDIA's new offering. This could result in increased market share and revenue for NVIDIA, as well as a shift in the competitive landscape, where companies that quickly integrate these technologies may gain a significant advantage.
The strategic partnerships with leading companies such as Amazon Web Services, Google and Microsoft highlight the commercial viability and anticipated demand for NVIDIA's Blackwell platform. The capacity to run trillion-parameter LLMs at a fraction of the cost and energy use positions NVIDIA to capitalize on the growing trend of generative AI applications across industries.
In the short term, the stock market could react positively to this news, as investors may anticipate an increase in NVIDIA's revenue streams and market influence. In the long term, NVIDIA's positioning as a leader in AI and computing could be solidified, provided that the Blackwell platform delivers on its promises and maintains a competitive edge against emerging technologies.
It is important to monitor how NVIDIA's competitors respond to this release. A lack of innovation or delayed response could lead to market share erosion for those competitors, while a rapid and effective counter-technology could mitigate Blackwell's impact.
The environmental implications of NVIDIA's Blackwell platform are noteworthy, given the current global focus on sustainability and energy consumption. The reported reduction in energy usage by up to 25 times for LLM inference operations aligns with broader industry trends towards more environmentally friendly technologies.
This reduction in energy consumption could translate into lower operational costs for businesses that utilize AI models, which might encourage faster adoption of the Blackwell platform. Additionally, companies aiming to reduce their carbon footprint may view NVIDIA's technology as an attractive option, further driving its growth in the marketplace.
However, it is important to validate these energy-saving claims through independent assessments to ensure that stakeholders can make informed decisions based on accurate data. If NVIDIA's claims hold true, the Blackwell platform could set a new industry standard for energy-efficient computing, influencing future technological developments in the sector.
- New Blackwell GPU, NVLink and Resilience Technologies Enable Trillion-Parameter-Scale AI Models
- New Tensor Cores and TensorRT- LLM Compiler Reduce LLM Inference Operating Cost and Energy by up to 25x
- New Accelerators Enable Breakthroughs in Data Processing, Engineering Simulation, Electronic Design Automation, Computer-Aided Drug Design and Quantum Computing
- Widespread Adoption by Every Major Cloud Provider, Server Maker and Leading AI Company
SAN JOSE, Calif., March 18, 2024 (GLOBE NEWSWIRE) -- Powering a new era of computing, NVIDIA today announced that the NVIDIA Blackwell platform has arrived — enabling organizations everywhere to build and run real-time generative AI on trillion-parameter large language models at up to 25x less cost and energy consumption than its predecessor.
The Blackwell GPU architecture features six transformative technologies for accelerated computing, which will help unlock breakthroughs in data processing, engineering simulation, electronic design automation, computer-aided drug design, quantum computing and generative AI — all emerging industry opportunities for NVIDIA.
“For three decades we’ve pursued accelerated computing, with the goal of enabling transformative breakthroughs like deep learning and AI,” said Jensen Huang, founder and CEO of NVIDIA. “Generative AI is the defining technology of our time. Blackwell is the engine to power this new industrial revolution. Working with the most dynamic companies in the world, we will realize the promise of AI for every industry.”
Among the many organizations expected to adopt Blackwell are Amazon Web Services, Dell Technologies, Google, Meta, Microsoft, OpenAI, Oracle, Tesla and xAI.
Sundar Pichai, CEO of Alphabet and Google: “Scaling services like Search and Gmail to billions of users has taught us a lot about managing compute infrastructure. As we enter the AI platform shift, we continue to invest deeply in infrastructure for our own products and services, and for our Cloud customers. We are fortunate to have a longstanding partnership with NVIDIA, and look forward to bringing the breakthrough capabilities of the Blackwell GPU to our Cloud customers and teams across Google, including Google DeepMind, to accelerate future discoveries.”
Andy Jassy, president and CEO of Amazon: “Our deep collaboration with NVIDIA goes back more than 13 years, when we launched the world’s first GPU cloud instance on AWS. Today we offer the widest range of GPU solutions available anywhere in the cloud, supporting the world’s most technologically advanced accelerated workloads. It's why the new NVIDIA Blackwell GPU will run so well on AWS and the reason that NVIDIA chose AWS to co-develop Project Ceiba, combining NVIDIA’s next-generation Grace Blackwell Superchips with the AWS Nitro System's advanced virtualization and ultra-fast Elastic Fabric Adapter networking, for NVIDIA's own AI research and development. Through this joint effort between AWS and NVIDIA engineers, we're continuing to innovate together to make AWS the best place for anyone to run NVIDIA GPUs in the cloud.”
Michael Dell, founder and CEO of Dell Technologies: “Generative AI is critical to creating smarter, more reliable and efficient systems. Dell Technologies and NVIDIA are working together to shape the future of technology. With the launch of Blackwell, we will continue to deliver the next-generation of accelerated products and services to our customers, providing them with the tools they need to drive innovation across industries.”
Demis Hassabis, cofounder and CEO of Google DeepMind: “The transformative potential of AI is incredible, and it will help us solve some of the world’s most important scientific problems. Blackwell’s breakthrough technological capabilities will provide the critical compute needed to help the world’s brightest minds chart new scientific discoveries.”
Mark Zuckerberg, founder and CEO of Meta: “AI already powers everything from our large language models to our content recommendations, ads, and safety systems, and it's only going to get more important in the future. We're looking forward to using NVIDIA's Blackwell to help train our open-source Llama models and build the next generation of Meta AI and consumer products.”
Satya Nadella, executive chairman and CEO of Microsoft: “We are committed to offering our customers the most advanced infrastructure to power their AI workloads. By bringing the GB200 Grace Blackwell processor to our datacenters globally, we are building on our long-standing history of optimizing NVIDIA GPUs for our cloud, as we make the promise of AI real for organizations everywhere.”
Sam Altman, CEO of OpenAI: “Blackwell offers massive performance leaps, and will accelerate our ability to deliver leading-edge models. We’re excited to continue working with NVIDIA to enhance AI compute.”
Larry Ellison, chairman and CTO of Oracle: "Oracle’s close collaboration with NVIDIA will enable qualitative and quantitative breakthroughs in AI, machine learning and data analytics. In order for customers to uncover more actionable insights, an even more powerful engine like Blackwell is needed, which is purpose-built for accelerated computing and generative AI.”
Elon Musk, CEO of Tesla and xAI: “There is currently nothing better than NVIDIA hardware for AI.”
Named in honor of David Harold Blackwell — a mathematician who specialized in game theory and statistics, and the first Black scholar inducted into the National Academy of Sciences — the new architecture succeeds the NVIDIA Hopper™ architecture, launched two years ago.
Blackwell Innovations to Fuel Accelerated Computing and Generative AI
Blackwell’s six revolutionary technologies, which together enable AI training and real-time LLM inference for models scaling up to 10 trillion parameters, include:
- World’s Most Powerful Chip — Packed with 208 billion transistors, Blackwell-architecture GPUs are manufactured using a custom-built 4NP TSMC process with two-reticle limit GPU dies connected by 10 TB/second chip-to-chip link into a single, unified GPU.
- Second-Generation Transformer Engine — Fueled by new micro-tensor scaling support and NVIDIA’s advanced dynamic range management algorithms integrated into NVIDIA TensorRT™-LLM and NeMo Megatron frameworks, Blackwell will support double the compute and model sizes with new 4-bit floating point AI inference capabilities.
- Fifth-Generation NVLink — To accelerate performance for multitrillion-parameter and mixture-of-experts AI models, the latest iteration of NVIDIA NVLink® delivers groundbreaking 1.8TB/s bidirectional throughput per GPU, ensuring seamless high-speed communication among up to 576 GPUs for the most complex LLMs.
- RAS Engine — Blackwell-powered GPUs include a dedicated engine for reliability, availability and serviceability. Additionally, the Blackwell architecture adds capabilities at the chip level to utilize AI-based preventative maintenance to run diagnostics and forecast reliability issues. This maximizes system uptime and improves resiliency for massive-scale AI deployments to run uninterrupted for weeks or even months at a time and to reduce operating costs.
- Secure AI — Advanced confidential computing capabilities protect AI models and customer data without compromising performance, with support for new native interface encryption protocols, which are critical for privacy-sensitive industries like healthcare and financial services.
- Decompression Engine — A dedicated decompression engine supports the latest formats, accelerating database queries to deliver the highest performance in data analytics and data science. In the coming years, data processing, on which companies spend tens of billions of dollars annually, will be increasingly GPU-accelerated.
A Massive Superchip
The NVIDIA GB200 Grace Blackwell Superchip connects two NVIDIA B200 Tensor Core GPUs to the NVIDIA Grace CPU over a 900GB/s ultra-low-power NVLink chip-to-chip interconnect.
For the highest AI performance, GB200-powered systems can be connected with the NVIDIA Quantum-X800 InfiniBand and Spectrum™-X800 Ethernet platforms, also announced today, which deliver advanced networking at speeds up to 800Gb/s.
The GB200 is a key component of the NVIDIA GB200 NVL72, a multi-node, liquid-cooled, rack-scale system for the most compute-intensive workloads. It combines 36 Grace Blackwell Superchips, which include 72 Blackwell GPUs and 36 Grace CPUs interconnected by fifth-generation NVLink. Additionally, GB200 NVL72 includes NVIDIA BlueField®-3 data processing units to enable cloud network acceleration, composable storage, zero-trust security and GPU compute elasticity in hyperscale AI clouds. The GB200 NVL72 provides up to a 30x performance increase compared to the same number of NVIDIA H100 Tensor Core GPUs for LLM inference workloads, and reduces cost and energy consumption by up to 25x.
The platform acts as a single GPU with 1.4 exaflops of AI performance and 30TB of fast memory, and is a building block for the newest DGX SuperPOD.
NVIDIA offers the HGX B200, a server board that links eight B200 GPUs through NVLink to support x86-based generative AI platforms. HGX B200 supports networking speeds up to 400Gb/s through the NVIDIA Quantum-2 InfiniBand and Spectrum-X Ethernet networking platforms.
Global Network of Blackwell Partners
Blackwell-based products will be available from partners starting later this year.
AWS, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure will be among the first cloud service providers to offer Blackwell-powered instances, as will NVIDIA Cloud Partner program companies Applied Digital, CoreWeave, Crusoe, IBM Cloud and Lambda. Sovereign AI clouds will also provide Blackwell-based cloud services and infrastructure, including Indosat Ooredoo Hutchinson, Nebius, Nexgen Cloud, Oracle EU Sovereign Cloud, the Oracle US, UK, and Australian Government Clouds, Scaleway, Singtel, Northern Data Group's Taiga Cloud, Yotta Data Services’ Shakti Cloud and YTL Power International.
GB200 will also be available on NVIDIA DGX™ Cloud, an AI platform co-engineered with leading cloud service providers that gives enterprise developers dedicated access to the infrastructure and software needed to build and deploy advanced generative AI models. AWS, Google Cloud and Oracle Cloud Infrastructure plan to host new NVIDIA Grace Blackwell-based instances later this year.
Cisco, Dell, Hewlett Packard Enterprise, Lenovo and Supermicro are expected to deliver a wide range of servers based on Blackwell products, as are Aivres, ASRock Rack, ASUS, Eviden, Foxconn, GIGABYTE, Inventec, Pegatron, QCT, Wistron, Wiwynn and ZT Systems.
Additionally, a growing network of software makers, including Ansys, Cadence and Synopsys — global leaders in engineering simulation — will use Blackwell-based processors to accelerate their software for designing and simulating electrical, mechanical and manufacturing systems and parts. Their customers can use generative AI and accelerated computing to bring products to market faster, at lower cost and with higher energy efficiency.
NVIDIA Software Support
The Blackwell product portfolio is supported by NVIDIA AI Enterprise, the end-to-end operating system for production-grade AI. NVIDIA AI Enterprise includes NVIDIA NIM™ inference microservices — also announced today — as well as AI frameworks, libraries and tools that enterprises can deploy on NVIDIA-accelerated clouds, data centers and workstations.
To learn more about the NVIDIA Blackwell platform, watch the GTC keynote and register to attend sessions from NVIDIA and industry leaders at GTC, which runs through March 21.
About NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling industrial digitalization across markets. NVIDIA is now a full-stack computing infrastructure company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/.
For further information, contact:
Kristin Uchiyama
NVIDIA Corporation
+1-408-313-0448
kuchiyama@nvidia.com
Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, features, and availability of NVIDIA’s products and technologies, including NVIDIA Blackwell platform, Blackwell GPU architecture, Resilience Technologies, Custom Tensor Core technology, NVIDIA TensorRT-LLM, NeMo Megatron framework, NVLink, NVIDIA GB200 Grace Blackwell Superchip, B200 Tensor Core GPUs, NVIDIA Grace CPU, NVIDIA H100 Tensor Core GPU, NVIDIA Quantum-X800 InfiniBand and Spectrum-X800 Ethernet platforms, NVIDIA GB200 NVL72, NVIDIA BlueField-3 data processing units, DGX SuperPOD, HGX B200, Quantum-2 InfiniBand and Spectrum-X Ethernet platforms, BlueField-3 DPUs, NVIDIA DGX Cloud, NVIDIA AI Enterprise, and NVIDIA NIM inference microservices; our goal of enabling transformative breakthroughs like deep learning and AI; Blackwell GPUs being the engine to power a new industrial revolution; our ability to realize the promise of AI for every industry as we working with the most dynamic companies in the world; our collaborations and partnerships with third parties and the benefits and impacts thereof; third parties who will offer or use our products, services and infrastructures and who will deliver servers based on our products; and the ability of the customers of global leaders in engineering simulation to use generative AI and accelerated computing to bring products to market faster, at lower cost and with higher energy efficiency are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
© 2024 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, BlueField, DGX, NVIDIA HGX, NVIDIA Hopper, NVIDIA NeMo, NVIDIA NIM, NVIDIA Spectrum, NVLink, and TensorRT are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.
A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/abee56bf-60a8-4ee7-ade0-188ab07cd6a0
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