Nvidia

At its fall 2022 GTC developer conference, Nvidia announced new products geared toward robotics developers, including a cloud-based Isaac Sim and the Jetson ...

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Nvidia Corp., the most valuable semiconductor maker in the US, unveiled a new type of graphics chip that uses enhanced artificial intelligence to create ...

The top-of-the-line RTX 4090 will cost $1,599 and go on sale Oct. Other versions that come in November will retail for $899 and $1,199. Codenamed Ada Lovelace, the new architecture underpins the company’s GeForce RTX 40 series of graphics cards, unveiled by co-founder and Chief Executive Officer Jensen Huang at an online event Tuesday.

Nvidia Corp on Tuesday announced new flagship chips for video gamers that use artificial intelligence (AI) to enhance graphics, saying it has tapped Taiwan ...

ban on selling Nvidia's top data center AI chips to China. The Lovelace chips have extended that technique to generate entire frames of a game using AI. Nvidia designs its chips but has them manufactured by partners. The flagship GeForce RTX 4090 model of the chip will sell for $1,599 and go on sale on Oct. Nvidia has gained attention in recent years with its booming data center business, which sells chips used in artificial intelligence work such as natural language processing. Register now for FREE unlimited access to Reuters.com

Two long years later, the next generation of graphics cards is finally here as Nvidia unwraps the GeForce RTX 4090 and RTX 4080 at its "Project Beyond" GTC ...

But those new RTX 40-series prices hurt, and if the RTX 4090 and 4080 don’t come out of the gate swinging hard, unsold RTX 30-series GPUs and used graphics cards may very well be a much better value. The RTX 4090 starts at $1,599, a $99 premium over the RTX 3090. Update: Nvidia’s website included some specs for the RTX 4080 models, which you can see above. There’s a massive gulf in pricing between the two models, but Huang didn’t get into technical differences between them, and didn’t even tease gaming performance for the 4080 duo. One comes with 16GB of GDDR6X memory and starts at a staggering $1,199—the same price as last-generation’s RTX 3080 Ti. But most gamers would no doubt be better off looking at the new duo of RTX 4080 options. Instead, with its ample 24GB of GDDR6X memory and staggering $1,599 price tag, it once again looks like an absolute powerhouse for prosumers who can put the GPU to work during the day, then enjoy face-melting framerates in games at night. Since this is GTC—a developer-focused event—Huang didn’t wade too much into traditional gaming performance, but he teased some tantalizing tidbits. It doesn’t even have to render the pixels in those behind-the-scene frames, which (Huang claims) allows DLSS 3 to drastically speed up games even if they’re CPU-bound rather than GPU-bound. But Nvidia’s “RTX” push doesn’t rely on ray-tracing brute force alone. At its core, the GPU uses new “shader execution reordering” to improve traditional game rendering by a claimed 25 percent, but ray-traced scenes will be two to three times faster. More than two excruciatingly long years after the RTX 30-series reveal, a new generation of graphics cards is finally here.

Nvidia revealed a next-generation automotive-grade chip that will unify a wide-range of in-car technology and go into production in 2025.

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After weeks of teases, Nvidia's newest computer graphics cards, the "Ada Lovelace" generation of RTX 4000 GPUs, are here. Nvidia CEO Jensen Huang debuted ...

We'll be curious to see head-to-head showdowns of Nvidia's automatic modding results compared to the best stuff from over a decade of community development. Huang also tried to curry favor with the PC modding scene by demonstrating how a new Nvidia-developed toolset, dubbed RTX Remix, can be applied to a number of classic games whose modding capabilities are wide open. When combined with DLSS 3's image reconstruction system, MSFS was demonstrated with frame rates easily reaching the 100s in some of the game's busiest scenes (though raw rasterization of the same scenes on an unnamed Lovelace GPU and PC showed solid performance as well, considering how power-hungry that game and its massive cityscapes can be). The specs are indicative of a highest-end GPU: 16,384 CUDA cores (up from the 3090's 10,496 CUDA cores) and 2.52 GHz of boost clock (up from 1.695 GHz on the 3090). The former will be augmented on Lovelace GPUs with two new types of hardware units: an "opacity micromap engine," meant to double raw ray-tracing performance, and a "micromesh engine" to increase the amount of geometric coverage "without storage cost" on the rendering front. At least for this generation, Nvidia is offering 12GB of memory as a 4080 baseline—effectively addressing a major criticism with the consistently memory-starved RTX 3000 generation of GPUs.

Nvidia says the RTX 4090 and 4080 deliver a two- to four-times performance increase over the RTX 3090 Ti and 3080 Ti, respectively.

Customers can also find [full specs(Opens in a new window)](https://www.nvidia.com/en-us/geforce/graphics-cards/compare/) for the RTX 4000 GPUs over the company's website. [sign up(Opens in a new window)](https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/) for an Nvidia email notification with details about when the products go on sale. [oversupply](https://www.pcmag.com/news/nvidia-decreased-demand-means-gpu-price-cuts) situation with older RTX 3000 GPUs, which has prompted the company to initiate price cuts. [ray-tracin](https://www.pcmag.com/how-to/what-is-ray-tracing-and-what-it-means-for-pc-gaming)g cores that can produce realistic lighting and shadow effects two to three times better than the previous generation. This newsletter may contain advertising, deals, or affiliate links. The RTX 4080 will cost $200 more than the original starting price for the RTX 3080, which only had 10GB of video memory. Currently, Nvidia is facing an Ada is incredibly efficient, over twice the performance of the same power compared to Ampere,” he added. Nvidia says both products will deliver a two- to four-times performance increase over the RTX 3090 Ti and 3080 Ti, respectively. [Cyberpunk 2077](https://www.pcmag.com/reviews/cyberpunk-2077-for-pc) and [Microsoft Flight Simulator](https://www.pcmag.com/reviews/microsoft-flight-simulator-for-pc) while maintaining the ray-tracing effects. [35 games(Opens in a new window)](https://www.nvidia.com/en-us/geforce/news/dlss3-supports-over-35-games-apps/) and apps plan to add DLSS 3 support with the first games set to arrive next month. In addition, the RTX 4000 series will feature a new 3.0 version of [DLSS](https://www.pcmag.com/news/testing-nvidias-dlss-20-higher-frame-rates-for-free), which can substantially increase the frame rates on a PC game even more.

Chip giant Nvidia Corp on Tuesday unveiled its new computing platform called DRIVE Thor that would centralize autonomous and assisted driving as well as ...

"There's a lot of companies doing great work, doing things that will benefit mankind and we want to support them," Shapiro said. ban on exports of two top Nvidia computing chips for data centers to China. [read more](/business/autos-transportation/upset-by-high-prices-gms-cruise-develops-its-own-chips-self-driving-cars-2022-09-14/) Register now for FREE unlimited access to Reuters.com [(GM.N)](https://www.reuters.com/companies/GM.N) autonomous driving unit Cruise last week said it had developed its own chips to be deployed by 2025.

Nvidia is trying to uncomplicate AI with a cloud service that makes AI and its many forms of computing less vague and more conversational.

The process is called P-tuning, which takes advantage of the new transformer cores in the Hopper GPU. The NeMo LLM is the latest addition to a stable of software machines deployed in Nvidia’s AI factory. In the case of genomics and protein sequencing, the known structures and the behaviors and patterns is the data set that we have,” Khariya said. At the end of the learning cycle, based on the input, the main pre-trained model doesn’t change, but a prompt token is issued, which provides the context. “Transformers can rein in the more distinct relationships and that’s important for a whole class of problems. Nvidia will serve the model, but will also continue to iterate and co-develop the models with the consortium. And that token gives the model the context it needs to answer that question more accurately,” Kharya said. The LLM will help models answer questions in a language best suited to a specific domain. The model was originally developed by Meta (Facebook’s parent company), and was retrained by Nvidia and is now being offered as a service. The OpenFold Consortium, which includes academics, startups and companies in biotechnology and pharmaceutical sectors, developed the open-source protein language model. The output is a cloud-based API for users to interact with the service or use in applications. Nvidia is also kicking off the NeMo LLM cloud service with BioNeMo, which provides researchers access to pre-trained chemistry and biology language models.

The upgrade comes at an interesting time for PC users, who have been starved out of the GPU market by crypto miners for years, and now have their choice of ...

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It will take a few weeks for it to become clear how much faster the new chips are. Also unclear is whether AMD has something better on tap.

just revealed its new chip. [ ](https://www.barrons.com/market-data/stocks/nvda)

Are graphics cards like the just-revealed RTX 4090 and RTX 4080s becoming unaffordable?

I hope there is some sort of relief on the horizon, because as the one Redditor put it, “I love PC gaming, but I can’t fucking afford to be a part of it anymore.” The RTX 4080 16GB is 3x the performance of the RTX 3080 Ti on next-gen content like Cyberpunk with RT Overdrive mode or Racer RTX—for the same price of $1199. But viewing events from the consumer side, it really feels like the costs of enthusiast PC gaming are continuing to skyrocket, and at a time when the costs of just about everything else are, too. The price point of RTX 4090 starts at $1599. Of course, even then its MSRP is $899, which is $400 more than the RTX 3070’s original MSRP of $499. Now Nvidia’s revealed a 16GB RTX 4080, which many observers take to be the closest to a true 3080 successor, for a whopping $1199—an increase of $500. They are trying to sell you a 4070 rebranded as a 4080 for 900$ lmao.” [One commenter looked back](https://old.reddit.com/r/hardware/comments/xjbobv/geforce_rtx_4090_revealed_releasing_in_october/ip7pdmc/) to 2018’s GeForce 10-series to pinpoint why today’s prices felt so exorbitant. [a ray-traced version of Portal](https://www.nvidia.com/en-us/geforce/news/portal-with-rtx-ray-tracing/). For example, the RTX 2070 cost almost as much as the prior high-end GTX 1080, despite being less of a flagship card. With the 20 series, they bumped all of the prices a whole fucking tier, and it looks like they are doing it again. Indeed, in 2018, Nvidia attracted criticism for pricing its then-new RTX 20-series cards a full “tier” higher than the previous 10-series cards had cost. Today, after many months of leaks, rumors, and speculation, Nvidia finally officially revealed its next generation of graphics cards, the RTX 4000 series.

Nvidia promises to make 3D modeling and digital technology more accessible for your data center, just not at the moment.

We in the data center industry know what that means, more demand for access to storage, network, and computer. Systems to support the chips are coming in the first half of 2023. The implementation of robotics to maintain data center equipment would get a boost from NVIDIA’s Omniverse, based on case studies from other verticals such as the automotive and railway industries. We admit, many of the firm’s announcements have a decided cool factor, leveraging the power of 3D for realistic simulations, but is there anything here that will change your life as a data center pro today or in the very near future? We're seeing a trend here in that NVIDIA wants simulation technology to be readily available and as plug-and-play as possible for enterprises. Our friends at Siemen’s provided us with access to a [webinar on digital twin technology](https://new.siemens.com/global/en/markets/data-centers/events-webinars/webinar-digital-twin-applications-for-data-centers-apac-emea.html).

Team Green also announced the RTX 4080 starts at $899, though we don't know a release date.

Still, Nvidia’s RTX 4080 is also here if $1,599 seems too costly, and Huang said the company will continue to support its RTX 3000 line as well. Taken together with the RTX 4090's hardware, Nvidia promises its new card will be 2x faster at non ray-tracing tasks and 4 time faster at ray-tracing ones. Huang demonstrated how it works with The Elder Scrolls III: Morrowind, a game from 2002, and while we don’t know much about what kind of power it will need in addition to an RTX 4000 series GPU, it’s going to be available for modders everywhere. With blanket promises that the card is 2-4 times faster than the RTX 3090 Ti, which is an upgraded version of the 3090, Huang showed 4K framerates above 100 fps on both Cyberpunk 2077 and Microsoft Flight Sim, both with ray-tracing on. Which is good, because the RTX 4090 looks like a significant improvement over the RTX 3090, and especially over any GTX 1000 or RTX 2000 series GPUs you might still be rocking. To support that dream, the company also announced DLSS 3.0 upgraded tech that supplies more frames with less work, plus SER, a new RTX graphics engine that promises to drastically increase ray tracing performance.

In his GTC keynote today, Nvidia CEO Jensen Huang launched another new Nvidia GPU architecture: Ada Lovelace, named for the legendary mathematician regarded ...

There is also Omniverse Replicator, a 3D synthetic data generator for researchers, developers, and enterprises that integrates with Nvidia’s AI cloud services. Omniverse Cloud will also be available as Nvidia managed services via early access by application. “Using this technology to generate large volumes of high-fidelity, physically accurate scenarios in a scalable, cost-efficient manner will accelerate our progress towards our goal of a future with zero accidents and less congestion.” “Planning our factories of the future starts with building state-of-the-art digital twins using Nvidia Omniverse,” said Jürgen Wittmann, head of innovation and virtual production at BMW Group. With Omniverse Cloud, users can collaborate on 3D workflows without the need for local compute power. “In the case of OVX, we do optimize it for digital twins from a sizing standpoint, but I want to be clear that it can be virtualized. Nvidia said that the RTX 6000 would be available in a couple of months from channel partners with wider availability from OEMs late this year into early next year to align with developments elsewhere in the industry. The second generation OVX system features an updated GPU architecture and enhanced networking technology. Ada Lovelace is not a subset of Nvidia’s Hopper GPU architecture (announced just six months prior), nor is it truly a successor — instead, Ada Lovelace is to graphics workloads as Hopper is to AI and HPC workloads. “With a massive 48GB frame buffer, OVX, with eight L40s, will be able to process giant Omniverse virtual world simulations.” The company also announced two GPUs based on the Ada Lovelace architecture — the workstation-focused RTX 6000 and the datacenter-focused L40 — along with the Omniverse-focused, L40-powered, second-generation OVX system. In his GTC keynote today, Nvidia CEO Jensen Huang launched another new Nvidia GPU architecture: Ada Lovelace, named for the legendary mathematician regarded as the first computer programmer.

Activ Surgical, Moon Surgical and Proximie will bring real-time AI to their surgery platforms using NVIDIA Clara Holoscan on NVIDIA IGX.

[special address by Kimberly Powell](https://www.nvidia.com/gtc/session-catalog/?tab.catalogallsessionstab=16566177511100015Kus&search=kimberly#/session/1656533145363001Jm8W), NVIDIA’s vice president of healthcare, at [GTC](https://www.nvidia.com/gtc/). [Register free](https://register.nvidia.com/flow/nvidia/gtcfall2022/attendeeportal/page/registration) for the virtual conference, which runs through Thursday, Sept. “Thanks to this collaboration, we are able to provide the most immersive experience possible and deliver a resilient digital solution, with which operating-room devices all over the world can communicate with each other and capture valuable insights.” “We are delighted to work with NVIDIA to strengthen the health ecosystem and further our mission to connect operating rooms globally,” said Dr. [selected the combination of NVIDIA Clara Holoscan running on the IGX platform](https://youtu.be/PWcNlRI00jo?t=3172) to power their surgical robotics systems. The company has instead been able to focus its engineering resources on AI algorithms and other unique features. “Clara Holoscan helps us not worry about things we typically spend a lot of time working on in the medical-device development cycle.” “NVIDIA Clara Holoscan will help us optimize precious engineering resources and go to market faster,” says Tom Calef, chief technology officer at Activ Surgical. IGX Orin developer kits will be available early next year. London-based Proximie is building a telepresence platform to enable real-time, remote surgeon collaboration. The Boston-based company’s ActivSight technology allows surgeons to view critical physiological structures and functions, like blood flow, that cannot be seen with the naked eye. This integration enables the rapid development of new, software-defined devices that bring the latest AI applications directly into the operating room.

The CNBC Investing Club gives investors a behind-the-scenes look at how Jim Cramer manages an investment portfolio so you can manage your own money and ...

"The actions we're taking right now to clear the inventory in the channel, to normalize inventory in the channel, is a good action. See here for a full list of the stocks.) As a subscriber to the CNBC Investing Club with Jim Cramer, you will receive a trade alert before Jim makes a trade. "Coming into the year, the whole market was really, really vibrant and was super high, and the supply chain was super long, so we had a lot of inventory in the pipeline," Huang said. Huang estimated that, in total, these corrective actions should span about two-and-a-half quarters, meaning the impact would be felt in "a little bit of Q4." "Of course, that resulted in Q2 and Q3 being a lot lower than we originally anticipated, but the overall gaming market remains solid," he added. "The world's gaming market continues to be vibrant, and we have absolutely no doubt that when Ada gets into the marketplace there's going to be lots of excited gamers waiting for it," Huang said.

At its annual GTC meeting, computing hardware maker Nvidia unveiled several new technologies and partnerships in bioinformatics.

"The next frontier for imaging is contributing to the innovations in minimally invasive surgery and robotic surgery," she said. In the future, researchers will be able to customize LLM models, the company said. "LLMs give us a new tool to explore the infinite world of biomolecules and chemistry." Anthony Philippakis, the Broad's chief data officer, said that LLMs help researchers and clinicians make sense of human language in medical records. "Similarly, in biology, there's another set of languages, the language of DNA, RNA, and proteins," he said. "This partnership with Nvidia will create greater access to different types of analysis and bring that to a wider group of people who wouldn't necessarily have access to those sophisticated technology services.

The Broad Institute and Nvidia are partnering to accelerate genome analysis and develop large language models for the development of targeted therapies.

It’s easy to understand why the Broad wants to access the power that Nvidia’s GPUs offer. Nvidia has been, according to Kimberly Powell, vice president of healthcare at Nvidia, “working on accelerated computing tools for the last three years.” This program, she noted, runs on a multi-cloud platform so that the entire Terra platform can take advantage of it. And, this requires a new generation of hardware acceleration, to process data cheaper, faster, and better. It’s a “point and click” way to analyze genomes, noted Keith Robison, PhD, genomics expert and author of the omicsomics blog. On top of that, it is easy to use and does not require the same bioinformatics background that GATK does. And, as the instruments produce more data, the computing platforms have to rise to the occasion as well.

From AV1 encoding to DLSS 3 exclusivity to two RTX 4080 GPUs with very different specs, here's what Nvidia didn't say during its GeForce RTX 40-series ...

[You’re gonna need a bigger boat](https://www.pcworld.com/article/627862/geforce-3090-ti-youre-gonna-need-a-bigger-boat-and-psu.html). [GeForce RTX 40-series has been revealed](https://www.pcworld.com/article/1071034/nvidia-geforce-rtx-4090-4080-revealed-gtc-project-beyond.html), but in true Nvidia fashion, CEO Jensen Huang didn’t delve deeply into raw speeds and feeds while introducing the [RTX 4090](https://go.redirectingat.com/?id=111346X1569483&url=https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4090/&xcust=2-1-1071293-1-0-0&sref=https://www.pcworld.com/article/1071293/6-geforce-rtx-40-series-4090-4080-secrets-nvidia.html) and [4080](https://go.redirectingat.com/?id=111346X1569483&url=https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4080/&xcust=2-1-1071293-1-0-0&sref=https://www.pcworld.com/article/1071293/6-geforce-rtx-40-series-4090-4080-secrets-nvidia.html) during his GTC keynote. The spec pages for the GeForce RTX 4090 and 4080s explicitly say that NVLink is not supported this generation. While the RTX 40-series supports the [12VHPWR-pin connectors](https://www.pcworld.com/article/625598/intel-finalizes-atx-3-0-psu-standard-to-supercharge-your-graphics-card.html) found in new-breed ATX 3.0 power supplies, you’ll also be able to use three or four standard 8-pin power connectors if you already have a burly PSU. Nvidia’s SLI technology for multi-GPU setups has been dead for a while now, but the “NVLink” tech that supplanted it remained in last-generation’s RTX 3090 GPUs. That’s it for these buried treasures. Intel beat AMD and Nvidia to the punch by including That matches the flagship RTX 3090 Ti from last generation. As you can see in the chart above, the 12GB GeForce RTX 4080 doesn’t just have less memory, it also has a much narrower 192-bit bus, and a whopping 21 percent fewer CUDA cores. Speaking of, scrolling through the spec sheet for the RTX 4080 revealed this interesting additional tidbit. In a deeply anti-consumer move, Nvidia is rolling out a pair of GeForce RTX 4080 offerings, ostensibly differing in memory capacity. While the 16GB GeForce RTX 4080 includes specific length, width, and slot measurements for Nvidia’s Founders Edition version, the 12GB GeForce RTX 4080 simply says “varies by manufacturer.” It doesn’t sound like the 12GB model will get Nvidia’s own custom Founders Edition treatment.

The wait is over. The rumour mill can stop spinning, however briefly, and we can pore over the details Nvidia has released for its new top card.

In the meantime, Nvidia has released some figures, just to show how its latest architecture compares with its previous best Ampere offering, the RTX 3090 Ti. In Microsoft Flight Simulator and Warhammer 40,000: Darktide you're looking at a respectable doubling of the frame rate. It's worth noting that both the RTX 3090 and RTX 3090 Ti weren't really aimed at gamers, but more at the semi-professional crowd. Top of the pile is the GeForce RTX 4090, which will be the first card to be released. It's the most expensive offering of those announced so far, but it also packs a mighty punch when it comes, if Nvidia's own benchmarks are to be believed. The rumour mill can stop spinning, however briefly, and we can pore over the details Nvidia has released for its new top card.

AI technology company Nvidia showcased a high-performance automotive computer designed to advance processing of in-vehicle entertainment and automated driving ...

[Qualcomm](https://www.autonews.com/suppliers/qualcomm-wants-larger-role-autos) hasn't yet announced the processing speed of its latest Snapdragon Digital Chassis. Analysts say the computer is designed to keep Nvidia ahead of rival Intel and its Mobileye automotive chip subsidiary. [Nvidia](https://www.autonews.com/suppliers/nvidias-huang-predicts-software-will-rule-industry) showcased a high-performance automotive computer designed to advance processing of in-vehicle entertainment and automated driving functions.

CHATSWORTH, Calif., Sept. 21, 2022 – DDN, a global leader in artificial intelligence (AI) and multi-cloud data management solutions, today announced its ...

DDN provides its enterprise customers with the most flexible, efficient and reliable data storage solutions for on-premises and multi-cloud environments at any scale. [DDN](https://www.ddn.com/) is the world’s largest private data storage company and the leading provider of intelligent technology and infrastructure solutions for enterprise at scale, AI and analytics, HPC, government, and academia customers. DDN’s A3I AI400X2 is an all-NVMe appliance designed to help customers extract the most value from their AI and analytics data sources, is proven in production at the largest scale and is the world’s most performant and efficient building block for AI infrastructures. Registration is free and open to all — [click here](https://www.ddn.com/company/events/gtc-fall-2022) for more information about DDN at GTC. [Selene and Beyond: Solutions for Successful SuperPODs](https://www.nvidia.com/gtc/session-catalog/?tab.catalogallsessionstab=16566177511100015Kus&search=ddn#/session/1658500849998001YbEc).” The session will focus on how DGX SuperPOD users can best manage their infrastructure even at extreme scales. Backed by DDN, the leader in AI data management, along with NVIDIA technology, extensive integration and performance testing, customers can rest assured that they will get the fastest path to AI innovation. [DDN](https://www.ddn.com/), a global leader in artificial intelligence (AI) and multi-cloud data management solutions, today announced its next generation of [reference architectures](https://www.ddn.com/products/a3i-accelerated-any-scale-ai/#reference-architectures) for [NVIDIA DGX BasePOD](https://www.nvidia.com/en-us/data-center/dgx-basepod/) and [NVIDIA DGX SuperPOD](https://www.nvidia.com/en-us/data-center/dgx-superpod/). Customers using these DGX BasePOD configurations will not only get integrated deployment and management, but also software tools including the NVIDIA AI Enterprise software suite, tuned for their specific applications in order to speed up developer success. “Our close technical and business collaboration with NVIDIA is enabling enterprises worldwide to maximize the performance of AI applications and simplify deployment for all,” said Dr. “Organizations modernizing their business with AI need flexible, easy-to-deploy infrastructure to address their enterprise AI challenges at any scale,” said Tony Paikeday, senior director of AI systems, NVIDIA. “With this next generation of reference architectures, which include DDN’s A3I AI400X2, we’re delivering significant value to customers, accelerating enterprise digital transformation programs, and providing ease of management for the most demanding data-intensive workloads.” [DDN deployed more than 2.5 exabytes of AI storage in 2021 and is now supporting thousands of ](https://6lli539m39y3hpkelqsm3c2fg-wpengine.netdna-ssl.com/wp-content/uploads/2021/03/ddn-logo_175x63.png) [NVIDIA DGX systems](https://www.ddn.com/partners/nvidia-global-solution-partners/) deployed around the world.

Nvidia CEO Jensen Huang unveiled the GeForce RTX 40 Series GPU at the Fall GTC conference. Company also announces first Omniverse SaaS cloud service, AI ...

In addition, Amazon Web Services, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure will start deploying H100-based instances in the cloud starting next year. To power these AI applications, Nvidia will start shipping its NVIDIA H100 Tensor Core GPU, with Hopper’s next-generation Transformer Engine, in the coming weeks. The GeForce RTX 4080 will in November with two configurations. The GeForce RTX will come in several configurations. During the presentation, Huang put the new GPU through its paces in a fully interactive simulation of Racer RTX, a simulation that is entirely ray traced, with all the action physically modeled. Nvidia CEO Jensen Huang, in a keynote speech, said the GPUs would provide a substantial performance boost that would benefit developers of games and other simulated environments.

Nvidia CEO Jensen Huang touts the ompany's RTX 40-series GPUs, the Omniverse and other innovation at the online GPU Technology Conference.

“Ada provides a quantum leap for gamers and paves the way for creators of fully simulated worlds,” Huang said. [TSMC] to create the process optimized for GPUs. “With up to 4X the performance of the previous generation, Ada is setting a new standard for the industry.”

The company plans on going down the RTX 4000 stack over time, according to Nvidia's CEO.

Why Nvidia is ignoring the mid-tier and low-end market for now is "simple" and "not so complicated," Jensen said. [oversupply situation](https://www.pcmag.com/news/nvidia-decreased-demand-means-gpu-price-cuts) with its older RTX 3000 series. That’s because the 12GB model not only has less video memory, it also contains only 7,680 CUDA cores. "We usually start at the high end because that’s where the enthusiasts want a refresh first. But over time, we’ll get other products in the lower-ends of the stack out to the market.” The statement also signals that RTX 4000 GPUs will eventually arrive at more consumer-friendly price points.

Nvidia launched its Nvidia Omniverse Cloud, SaaS services, designed to accelerate development of metaverse applications, at its GTC Developers event.

Nvidia designed OVX to provide real-time graphics and digital twin simulations within its Nvidia [Omniverse Enterprise](https://www.nvidia.com/en-us/omniverse/enterprise/) platform. “OVX is the Omniverse computer, an ideal way to scale out metaverse applications,” Huang said. [enhanced GPU architecture](https://www.nvidia.com/en-us/design-visualization/ada-lovelace-architecture/), designed for creating industrial digital twins. BMW and Jaguar Land Rover are the first customers Nvidia revealed that have receive OVX systems. Nvidia said WPP is using Omniverse cloud to provide custom 3-D content to its automotive clients. Nvidia is also offering Omniverse Cloud as managed services by those applying The collection of cloud services, revealed on Tuesday at Nvidia’s annual [GTC developer’s conference](https://www.nvidia.com/gtc/), is the company’s first SaaS offering. “Omniverse is a platform for building and operating metaverse applications. Omniverse is useful wherever digital and physical worlds meet.” NGU is Nvidia’s suite of According to Nvidia, it will let more developers build and share 3-D workflows without requiring a GPU-powered client. Driving the metaverse are real-time workflows of 3-D digital wins, virtual replicas of structures, environments and individuals.

Shares of Nvidia (NVDA 0.65%) surged higher Wednesday, jumping as much as 3.3%. As of 12:46 p.m. ET, the stock was still up 3.1%. The catalyst that sent the ...

Finally, Morgan Stanley analyst Joseph Moore maintained his equal weight (hold) rating and $182 price target -- representing potential gains of 38%. He noted that Nvidia continues to be "one to two steps" ahead of the competition in terms of semiconductors, software integration, and ecosystem adoption. [semiconductor specialist](https://www.fool.com/investing/stock-market/market-sectors/information-technology/semiconductor-stocks/) higher was analyst reaction to announcements made during Nvidia's 2022 Global Technical Conference (GTC). Morgan analyst Harlan Sur was also bullish, maintaining his overweight (buy) rating and $220 price target on Nvidia -- suggesting potential gains of 67%. [NVDA](/quote/nasdaq/nvda/) 0.65%) surged higher Wednesday, jumping as much as 3.3%. More importantly, he believes the current headwinds are transitory and the investing thesis remains intact.