Underscoring NVIDIA's growing relationship with the global technology superpower, Indian Prime Minister Narendra Modi met with NVIDIA founder and CEO Jensen Huang Monday evening. The meeting at 7 Lok Kalyan Marg—as the Prime Minister's official residence in New Delhi is known—comes as Modi prepares to host a gathering of leaders from the G20 group of the world's largest economies, including U.S. President Joe Biden, later this week.

"Had an excellent meeting with Mr. Jensen Huang, the CEO of NVIDIA," Modi said in a social media post. "We talked at length about the rich potential India offers in the world of AI." The event marks the second meeting between Modi and Huang, highlighting NVIDIA's role in the country's fast-growing technology industry.

Google Cloud Next—Google Cloud and NVIDIA today announced new AI infrastructure and software for customers to build and deploy massive models for generative AI and speed data science workloads.

In a fireside chat at Google Cloud Next, Google Cloud CEO Thomas Kurian and NVIDIA founder and CEO Jensen Huang discussed how the partnership is bringing end-to-end machine learning services to some of the largest AI customers in the world—including by making it easy to run AI supercomputers with Google Cloud offerings built on NVIDIA technologies. The new hardware and software integrations utilize the same NVIDIA technologies employed over the past two years by Google DeepMind and Google research teams.

NVIDIA today announced the world's leading system manufacturers will deliver AI-ready servers that support VMware Private AI Foundation with NVIDIA, announced separately today, to help companies customize and deploy generative AI applications using their proprietary business data. NVIDIA AI-ready servers will include NVIDIA L40S GPUs, NVIDIA BlueField -3 DPUs and NVIDIA AI Enterprise software to enable enterprises to fine-tune generative AI foundation models and deploy generative AI applications like intelligent chatbots, search and summarization tools. These servers also provide NVIDIA-accelerated infrastructure and software to power VMware Private AI Foundation with NVIDIA.

NVIDIA L40S-powered servers from leading global system manufacturers - Dell Technologies, Hewlett Packard Enterprise and Lenovo . will be available by year-end to accelerate enterprise AI. "A new computing era has begun," said Jensen Huang, founder and CEO of NVIDIA. "Companies in every industry are racing to adopt generative AI. With our ecosystem of world-leading software and system partners, we are bringing generative AI to the world's enterprises."

NVIDIA today announced the next-generation NVIDIA GH200 Grace Hopper platform - based on a new Grace Hopper Superchip with the world's first HBM3e processor - built for the era of accelerated computing and generative AI. Created to handle the world's most complex generative AI workloads, spanning large language models, recommender systems and vector databases, the new platform will be available in a wide range of configurations. The dual configuration - which delivers up to 3.5x more memory capacity and 3x more bandwidth than the current generation offering - comprises a single server with 144 Arm Neoverse cores, eight petaflops of AI performance and 282 GB of the latest HBM3e memory technology.

"To meet surging demand for generative AI, data centers require accelerated computing platforms with specialized needs," said Jensen Huang, founder and CEO of NVIDIA. "The new GH200 Grace Hopper Superchip platform delivers this with exceptional memory technology and bandwidth to improve throughput, the ability to connect GPUs to aggregate performance without compromise, and a server design that can be easily deployed across the entire data center."

NVIDIA today announced that it has named to its board of directors Melissa Lora, who spent three decades as an executive at Taco Bell Corp., a subsidiary of Yum! Brands, Inc., before retiring in 2018 as president of Taco Bell International.

She has also been appointed to the board's Audit Committee.

"Melissa is a great addition to our board of directors," said Jensen Huang, founder and CEO of NVIDIA. "She brings senior management and operating experience, as well as extensive finance expertise, gained in a large corporate setting. We will benefit immensely from her guidance."

Artificial intelligence (AI) has emerged as a transformative force in chip design, with recent examples from China and the United States showcasing its potential. Jensen Huang, CEO of Nvidia, believes that AI can empower individuals to become programmers, while Lisa Su, CEO of AMD, predicts an era where AI dominates chip design. During the 2023 World Artificial Intelligence Conference (WAIC) in Shanghai, Su emphasized the importance of interdisciplinary collaboration for the next generation of chip designers. To excel in this field, engineers must possess a holistic understanding of hardware, software, and algorithms, enabling them to create superior chip designs that meet system usage, customer deployment, and application requirements.

The integration of AI into chip design processes has gained momentum, fueled by the AI revolution catalyzed by large language models (LLMs). Both Huang and Mark Papermaster, CTO of AMD, acknowledge the benefits of AI in accelerating computation and facilitating chip design. AMD has already started leveraging AI in semiconductor design, testing, and verification, with plans to expand its use of generative AI in chip design applications. Companies are now actively exploring the fusion of AI technology with Electronic Design Automation (EDA) tools to streamline complex tasks and minimize manual intervention in chip design. Despite limited data and accuracy challenges, the "EDA+AI" approach holds great promise. For instance, Synopsys has invested significantly in AI tool research and recently launched Synopsys.ai, the industry's first end-to-end AI-driven EDA solution. This comprehensive solution empowers developers to harness AI at every stage of chip development, from system architecture and design to manufacturing, marking a significant leap forward in AI's integration into chip design workflows.

Three leading European generative AI startups joined NVIDIA founder and CEO Jensen Huang this week to talk about the new era of computing. More than 500 developers, researchers, entrepreneurs and executives from across Europe and further afield packed into the Spindler and Klatt, a sleek, riverside gathering spot in Berlin. Huang started the reception by touching on the message he delivered Monday at the Berlin Summit for Earth Virtualization Engines (EVE), an international collaboration focused on climate science. He shared details of NVIDIA's Earth-2 initiative and how accelerated computing, AI-augmented simulation and interactive digital twins drive climate science research.

Before sitting down for a fireside chat with the founders of the three startups, Huang introduced some "special guests" to the audience—four of the world's leading climate modeling scientists, who he called the "unsung heroes" of saving the planet. "These scientists have dedicated their careers to advancing climate science," said Huang. "With the vision of EVE, they are the architects of the new era of climate science."

AI and accelerated computing will help climate researchers achieve the miracles they need to achieve breakthroughs in climate research, NVIDIA founder and CEO Jensen Huang said during a keynote Monday at the Berlin Summit for the Earth Virtualization Engines initiative. "Richard Feynman once said that "what I can't create, I don't understand" and that's the reason why climate modeling is so important," Huang told 180 attendees at the Harnack House in Berlin, a storied gathering place for the region's scientific and research community. "And so the work that you do is vitally important to policymakers to researchers to the industry," he added.

To advance this work, the Berlin Summit brings together participants from around the globe to harness AI and high-performance computing for climate prediction. In his talk, Huang outlined three miracles that will have to happen for climate researchers to achieve their goals, and touched on NVIDIA's own efforts to collaborate with climate researchers and policymakers with its Earth-2 efforts. The first miracle required will be to simulate the climate fast enough, and with a high enough resolution - on the order of just a couple of square kilometers.

Generative AI will "supercharge" creators across industries and content types, NVIDIA founder and CEO Jensen Huang said today at the Cannes Lions Festival, on the French Riviera. "For the very first time, the creative process can be amplified in content generation, and the content generation could be in any modality - it could be text, images, 3D, videos," Huang said in a conversation with Mark Read, CEO of WPP - the world's largest marketing and communications services company.

At the event attended by thousands of creators, marketers and brand execs from around the world, Huang outlined the impact of AI on the $700 billion digital advertising industry. He also touched on the ways AI can enhance creators' abilities, as well as the importance of responsible AI development. "You can do content generation at scale, but infinite content doesn't imply infinite creativity," he said. "Through our thoughts, we have to direct this AI to generate content that has to be aligned to your values and your brand tone." The discussion followed Huang's recent keynote at COMPUTEX, where NVIDIA and WPP announced a collaboration to develop a content engine powered by generative AI and the NVIDIA Omniverse platform for building and operating metaverse applications.

MediaTek, a leading innovator in connectivity and multimedia, is teaming with NVIDIA to bring drivers and passengers new experiences inside the car. The partnership was announced today at a COMPUTEX press conference with MediaTek CEO Rick Tsai and NVIDIA founder and CEO Jensen Huang.

"NVIDIA is a world-renowned pioneer and industry leader in AI and computing. With this partnership, our collaborative vision is to provide a global one-stop shop for the automotive industry, designing the next generation of intelligent, always-connected vehicles," said Tsai. "Through this special collaboration with NVIDIA, we will together be able to offer a truly unique platform for the compute-intensive, software-defined vehicle of the future."

"AI and accelerated computing are fueling the transformation of the entire auto industry," said Huang. "The combination of MediaTek's industry-leading system-on-chip plus NVIDIA's GPU and AI software technologies will enable new user experiences, enhanced safety and new connected services for all vehicle segments, from luxury to entry-level."

NVIDIA and SoftBank Corp. today announced they are collaborating on a pioneering platform for generative AI and 5G/6G applications that is based on the NVIDIA GH200 Grace Hopper Superchip and which SoftBank plans to roll out at new, distributed AI data centers across Japan. Paving the way for the rapid, worldwide deployment of generative AI applications and services, SoftBank will build data centers that can, in collaboration with NVIDIA, host generative AI and wireless applications on a multi-tenant common server platform, which reduces costs and is more energy efficient.

The platform will use the new NVIDIA MGX reference architecture with Arm Neoverse-based GH200 Superchips and is expected to improve performance, scalability and resource utilization of application workloads. "As we enter an era where society coexists with AI, the demand for data processing and electricity requirements will rapidly increase. SoftBank will provide next-generation social infrastructure to support the super-digitalized society in Japan," said Junichi Miyakawa, president and CEO of SoftBank Corp. "Our collaboration with NVIDIA will help our infrastructure achieve a significantly higher performance with the utilization of AI, including optimization of the RAN. We expect it can also help us reduce energy consumption and create a network of interconnected data centers that can be used to share resources and host a range of generative AI applications."

NVIDIA's co-founder and current CEO Jensen Huang will be receiving a slightly reduced salary this year, due to his company not meeting some financial goals. Team Green has published their report for the financial year of 2023, and several tech news outlets have been poring over the details - The Register was the first to spot that the intrepid leather jacketed leader was not being as handsomely compensated (when cross-referenced with previous FY results). Huang's pay has been cut by almost $2.5 million, so a 10% fall from before - given that he is already a billionaire, going into double digits, this verdict is a minor sting to the proverbial (matching leather?) wallet.

The company's annual review (for FY 2023) document provides a reason for select executive pay cuts: "Fiscal 2023 was a challenging year, with macroeconomic headwinds, channel inventory corrections, COVID-19 and product architecture transitions affecting several of our businesses. As a result, our Fiscal 2023 revenue and non-GAAP Operating Income performance fell short of the CC's (compensation committee's) pre-established goals for executive compensation." Huang will not be hurting too much from the small pay cut since he is set to earn $21.356 million in total, thanks to generous stock awards and miscellaneous benefits outside of his base salary (now a mere $996,216). NVIDIA is expected to rake in even more cash across the coming year, or two, due to growing interest in artificial intelligence (AI) processing. Tech companies are snapping up NVIDIA's enterprise-grade H100 GPUs in anticipation of an AI-powered future.

TAITRA (Taiwan External Trade Development Council) today announced that NVIDIA founder and CEO Jensen Huang will deliver the keynote address in person at COMPUTEX 2023. The keynote will take place at the Taipei Nangang Exhibition Center Hall 2 on Monday, May 29, at 11:00 AM (UTC+8), and cover advanced developments in the fields of accelerated computing and artificial intelligence. Welcome to join and Register Now. A livestream and replay of the keynote will be available here.

NVIDIA, the pioneer in accelerated computing that enabled the AI revolution, announced at its most recent GTC conference a series of breakthroughs in generative AI, simulation and collaboration that are boosting productivity and efficiency for leading companies around the world. At this year's COMPUTEX Forum, NVIDIA's Greg Estes, VP of Corporate Marketing and Developer Programs, will deliver a talk entitled "Racing Towards the Industrial Metaverse", sharing how NVIDIA and its partners are using Omniverse, generative AI, and accelerated computing to enable an exciting new era of 3D workflows. His talk will take place on Tuesday, May 30, from 2:30 to 3:00 p.m.

Taiwan's External Trade Development Council (TAITRA) has announced the keynote speaker for Computex 2023 - NVIDIA co-founder and current CEO Jensen Huang is confirmed as the main host of the opening ceremony event. The forthcoming computer trade show will have a general opening on May 30, with a keynote address delivered by Huang scheduled for the day before. Computex 2023 is set to be hosted at the Taipei Nangang Exhibition Center (Hall 1 & Hall 2) until June. Co-organizer TAITRA boasts that 1000 exhibitors (from 17 nations) will participate in show floor activities. 3000 individual booths will be setup for exploration by prospective attendees.

Huang is one of several key electronics company CEOs announced as participants in conference events. He joins key representatives from firms such as Qualcomm, Acer, NXP Semiconductors and Supermicro. NVIDIA's leader was named in Time's 100 List of Most Influential People for the year 2021, and is a winner of numerous other awards, so it is no wonder that he gets top billing at Computex 2023. Attendees have a lot to look forward to, not limited to a (potentially) dynamic keynote speech delivered by Huang, since this year's show will be an open door affair. A return to proceedings last experienced in 2019, prior to global shutdowns.

Microsoft, Tencent and Baidu are adopting NVIDIA CV-CUDA for computer vision AI. NVIDIA CEO Jensen Huang highlighted work in content understanding, visual search and deep learning Tuesday as he announced the beta release for NVIDIA's CV-CUDA—an open-source, GPU-accelerated library for computer vision at cloud scale. "Eighty percent of internet traffic is video, user-generated video content is driving significant growth and consuming massive amounts of power," said Huang in his keynote at NVIDIA's GTC technology conference. "We should accelerate all video processing and reclaim the power."

CV-CUDA promises to help companies across the world build and scale end-to-end, AI-based computer vision and image processing pipelines on GPUs. The majority of internet traffic is video and image data, driving incredible scale in applications such as content creation, visual search and recommendation, and mapping. These applications use a specialized, recurring set of computer vision and image-processing algorithms to process image and video data before and after they're processed by neural networks.

It has been pretty much confirmed that the NVIDIA GeForce RTX 4070 (non-Ti) is launching in April, but now, the rumored date has been specified as April 13th. The latest report comes from a well known leaker, hongxing2020, over at Twitter, who has a pretty good track record and had correct dates for RTX 30 and RTX 40 series launch dates. In case you missed it, the NVIDIA GeForce RTX 4070 is based on the same AD104 GPU as the RTX 4070 Ti, with slightly fewer cores, but still comes with the same memory specification as the Ti version.

This means the GeForce RTX 4070 should feature 46 streaming multiprocessors (SMs) which should leave it with 5,888 CUDA cores enabled. It will come with 12 GB of GDDR6X memory on a 192-bit memory interface. The TDP is rumored at 200 W. There were some rumors that NVIDIA could have three different SKUs for the RTX 4070, with 16 GB, 12 GB, and 10 GB of VRAM, but so far, this has just remained as a vague rumor coming from Eurasian Economic Commission (EEC) regulatory filings. NVIDIA is slowly completing the RTX 40 series lineup, so hopefully we will not have to wait too long for updates on the RTX 4060 Ti and the RTX 4060. NVIDIA, and its founder and CEO, Jensen Huang, will be holding the opening keynote at GTC on March 21st, so we could get at least some updates for the future GeForce lineup.

NVIDIA has recently reported its Q4 earnings, and the earnings call following the report contains exciting details about the company and its plans to open up to new possibilities. NVIDIA's CEO Jensen Huang has stated that the company is on track to become an AI-as-a-Service (AIaaS) provider, which technically makes it a cloud service provider (CSP). "Today, I want to share with you the next level of our business model to help put AI within reach of every enterprise customer. We are partnering with major service -- cloud service providers to offer NVIDIA AI cloud services, offered directly by NVIDIA and through our network of go-to-market partners, and hosted within the world's largest clouds." Said Mr. Huang, adding that "NVIDIA AI as a service offers enterprises easy access to the world's most advanced AI platform, while remaining close to the storage, networking, security and cloud services offered by the world's most advanced clouds. Customers can engage NVIDIA AI cloud services at the AI supercomputer, acceleration library software, or pretrained AI model layers."

In addition to enrolling other CSPs into the race, NVIDIA is also going to offer DGX machines on demand in the cloud. Using select CSPs, you can get access to an entire DGX and harness the computing power for AI research purposes. Mr. Huang noted "NVIDIA DGX is an AI supercomputer, and the blueprint of AI factories being built around the world. AI supercomputers are hard and time-consuming to build. Today, we are announcing the NVIDIA DGX Cloud, the fastest and easiest way to have your own DGX AI supercomputer, just open your browser. NVIDIA DGX Cloud is already available through Oracle Cloud Infrastructure and Microsoft Azure, Google GCP, and others on the way."

NVIDIA (NASDAQ: NVDA) today reported revenue for the fourth quarter ended January 29, 2023, of $6.05 billion, down 21% from a year ago and up 2% from the previous quarter. GAAP earnings per diluted share for the quarter were $0.57, down 52% from a year ago and up 111% from the previous quarter. Non-GAAP earnings per diluted share were $0.88, down 33% from a year ago and up 52% from the previous quarter.

For fiscal 2023, revenue was $26.97 billion, flat from a year ago. GAAP earnings per diluted share were $1.74, down 55% from a year ago. Non-GAAP earnings per diluted share were $3.34, down 25% from a year ago. "AI is at an inflection point, setting up for broad adoption reaching into every industry," said Jensen Huang, founder and CEO of NVIDIA. "From startups to major enterprises, we are seeing accelerated interest in the versatility and capabilities of generative AI. "We are set to help customers take advantage of breakthroughs in generative AI and large language models. Our new AI supercomputer, with H100 and its Transformer Engine and Quantum-2 networking fabric, is in full production.

NVIDIA today announced that company founder and CEO Jensen Huang will deliver the opening keynote at GTC 2023, covering the latest advancements in generative AI, the metaverse, large language models, robotics, cloud computing and more. More than 250,000 people are expected to register for the four-day event, which will include 650+ sessions from researchers, developers and industry leaders in virtually every computing domain. GTC will also feature a fireside chat with Huang and OpenAI co-founder Ilya Sutskever, plus talks by DeepMind's Demis Hassabis, Stability AI's Emad Mostaque and many others.

"This is the most extraordinary moment we have witnessed in the history of AI," Huang said. "New AI technologies and rapidly spreading adoption are transforming science and industry, and opening new frontiers for thousands of new companies. This will be our most important GTC yet."

NVIDIA (NASDAQ: NVDA) today reported revenue for the third quarter ended October 30, 2022, of $5.93 billion, down 17% from a year ago and down 12% from the previous quarter. GAAP earnings per diluted share for the quarter were $0.27, down 72% from a year ago and up 4% from the previous quarter. Non-GAAP earnings per diluted share were $0.58, down 50% from a year ago and up 14% from the previous quarter.

"We are quickly adapting to the macro environment, correcting inventory levels and paving the way for new products," said Jensen Huang, founder and CEO of NVIDIA. "The ramp of our new platforms - Ada Lovelace RTX graphics, Hopper AI computing, BlueField and Quantum networking, Orin for autonomous vehicles and robotics, and Omniverse-is off to a great start and forms the foundation of our next phase of growth.

Rescale, the leader in high performance computing built for the cloud to accelerate engineering innovation, today announced it is teaming with NVIDIA to integrate the NVIDIA AI platform into Rescale's HPC-as-a-Service offering. The integration is designed to advance computational engineering simulation with AI and machine learning, helping enterprises commercialize new product innovations faster, more efficiently and at less cost.

Additionally, Rescale announced the world's first Compute Recommendation Engine (CRE) to power Intelligent Computing for HPC and AI workloads. Optimizing workload performance can be prohibitively complex as organizations seek to balance decisions among architectures, geographic regions, price points, scalability, service levels, compliance, and sustainability objectives. Developed using machine learning on NVIDIA architectures with infrastructure telemetry, industry benchmarks, and full-stack metadata spanning over 100 million production HPC workloads, Rescale CRE provides customers unprecedented insight to optimize overall performance.

NVIDIA's CEO has gone out on a limb during a video call with the media, where he claimed that Moore's Law is Dead, in response to the high asking price for its latest graphics cards. For those not familiar with Moore's law, it's an observation by Intel's Gordon Moore that says that transistors double in density inside dense integrated circuits every two years, while at the same time, the cost of computers are halved. The follow-on to this observation is that there's also a doubling of the performance every two years, if maintaining the same cost. This part doesn't quite hold true any more, due to all major foundries having increased the cost when using their cutting edge nodes. We're also reaching a point where it's getting increasingly difficult to shrink process nodes in semiconductor fabs. However, Jensen Huang's statement has nothing to do with the actual node shrinks, which makes his statement a bit flawed.

Jensen's focus seems to be on the latter half of Moore's law, the part related to semiconductors getting cheaper, which in turn makes computers cheaper. However, this hasn't been true for some time now and Jensen's argument in this case is that NVIDIA's costs of making semiconductors have gone up. Jensen is quoted as saying "A 12-inch wafer is a lot more expensive today than it was yesterday, and it's not a little bit more expensive, it is a ton more expensive," "Moore's Law is dead … It's completely over, and so the idea that a chip is going to go down in cost over time, unfortunately, is a story of the past." What he actually meant is that we shouldn't expect semiconductors to be as cheap as they've been in the past, although part of the issue NVIDIA is having is that their products have to be produced on cutting edge notes, which cost significantly more than more mature nodes. It'll be interesting to see if AMD can deliver graphics chips and cards with a more competitive price point than NVIDIA, as that would refute some of Jensen's claims.

NVIDIA CEO Jensen Huang in a call with the press today confirmed that Ada loses the NVLink connector. This marks the end of any possibility of explicit multi-GPU, and marks the complete demise of SLI (over a separate physical interface). Jensen stated that the reason behind removing the NVLink connector was because they needed the I/O for "something else," and decided against spending the resources to wire out an NVLink interface. NVIDIA's engineers also wanted to make the most out of the silicon area at their disposal to "cram in as much AI processing as we could". Jen-Hsun continued with "and also, because Ada is based on Gen 5, PCIe Gen 5, we now have the ability to do peer-to-peer cross-Gen 5 that's sufficiently fast that it was a better tradeoff". We reached out to NVIDIA to confirm and their answer is:

NVIDIAAda does not support PCIe Gen 5, but the Gen 5 power connector is included.

PCIe Gen 4 provides plenty of bandwidth for graphics usages today, so we felt it wasn't necessary to implement Gen 5 for this generation of graphics cards. The large framebuffers and large L2 caches of Ada GPUs also reduce utilization of the PCIe interface.

NVIDIA today unveiled the GeForce RTX 40 Series of GPUs, designed to deliver revolutionary performance for gamers and creators, led by its new flagship, the RTX 4090 GPU, with up to 4x the performance of its predecessor. The world's first GPUs based on the new NVIDIA Ada Lovelace architecture, the RTX 40 Series delivers massive generational leaps in performance and efficiency, and represents a new era of real-time ray tracing and neural rendering, which uses AI to generate pixels.

"The age of RTX ray tracing and neural rendering is in full steam, and our new Ada Lovelace architecture takes it to the next level," said Jensen Huang, NVIDIA's founder and CEO, at the GeForce Beyond: Special Broadcast at GTC. "Ada provides a quantum leap for gamers and paves the way for creators of fully simulated worlds. With up to 4x the performance of the previous generation, Ada is setting a new standard for the industry," he said.

NVIDIA just kicked off the GTC Autumn 2022 Keynote address that culminates in Project Beyond, the company's launch vehicle for its next-generation GeForce RTX 40-series graphics cards based on the "Ada" architecture. These are expected to nearly double the performance over the present generation, ushering in a new era of photo-real graphics as we inch closer to the metaverse. NVIDIA CEO Jensen Huang is expected to take center-stage to launch these cards.15:00 UTC: The show is on the road.15:00 UTC: AI remains the center focus, including how it plays with gaming.