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

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.

(Reuters) -- Nvidia on Tuesday announced new flagship chips for video gamers that use artificial intelligence to enhance graphics, saying it has tappe.

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.

Nvidia on Tuesday announced new flagship chips for video gamers that use artificial intelligence to enhance graphics.

The Lovelace chips have extended that technique to generate entire frames of a game using AI. The flagship GeForce RTX 4090 model of the chip will sell for $1 599 and go on sale on 12 October. Nvidia has gained attention in recent years with its booming data centre business, which sells chips used in AI work such as natural language processing.

“Now medical devices can benefit from the same business model and innovation as self-driving cars, to be AI powered and become software defined,” said Kimberly ...

Nvidia also announced that it was bringing large language models for protein folding and drug discovery via BioNeMo, which is a part of the new cloud service called NeMo LLM. Nvidia also announced the availability of its Clara platform on Broad Institute’s Terra genomic sequencing platform. they go through the full finalized FDA approval for the entire application and platform, but we get them, call it two-thirds of the way there on the software in the platform layer,” Powell said. The IGX and Clara HoloScan platforms are compliant with 60601 medical safety certification for hardware. Proximie is adopting the platform for an operating room telepresence system that offers remote surgeon collaboration. Three partners have adopted the combined IGX with Clara HoloScan platform, Powell said.

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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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.

At the fall 2022 Nvidia CEO Jensen Huang announced the cancelation of the Atlan automated driving chip announced in 2021 and the introduction of Thor with ...

For comparison, the Parker SoC that powered version 2 of Tesla AutoPilot (in combination with a Pascal GPU) from 2016 delivered about 1 TOPS and was followed in 2020 by the Xavier chip with 30 TOPs. When it was announced, Atlan promised the highest performance of any automotive SoC to date with up to 1,000 trillion operations per second (TOPS) of integer computing capability. At this week’s fall 2022 GTC, Huang announced that Atlan had been canceled and replaced with a new design dubbed Thor that will offer twice the performance and data throughput, still arriving in 2025.

Next-gen system-on-a-chip centralizes all intelligent vehicle functions on a single AI computer for safe and secure autonomous vehicles. September 20, 2022 by ...

DRIVE Thor marks the first inclusion of a transformer engine in the AV platform family. The SoC is capable of multi-domain computing, meaning it can partition tasks for autonomous driving and in-vehicle infotainment. Manufacturers can configure the DRIVE Thor superchip in multiple ways. Rather than relying on these distributed ECUs, manufacturers can now consolidate vehicle functions using DRIVE Thor’s ability to isolate specific tasks. With 8-bit floating point (FP8) precision, the SoC introduces a new data type for automotive. The automotive-grade system-on-a-chip (SoC) is built on the latest CPU and GPU advances to deliver 2,000 teraflops of performance while reducing overall system costs.

At the top of the stack is the new RTX 4090. This massive new GPU features 16384 CUDA cores with boost clocks that go up to 2.52GHz. The card comes with 24GB of ...

Compared to the 40 shader-TFLOPs of the RTX 3090 Ti, the RTX 4090 has 83-TFLOPS. At the heart of these new graphics cards is the new GPU. It's part of the Nvidia RTX Remix modding platform, which features tools for improving the visuals of older titles. At the top of the stack is the new RTX 4090. The RTX 4090 has a power rating of 450W and runs on a single 16-pin PCIe Gen 5 or 3x 8-pin PCIe cables. Nvidia claims it is 2-4x faster than the RTX 3090 Ti.

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)

Just about six months ago, Nvidia's spring GTC event saw the announcement of its hotly anticipated Hopper GPU architecture. Now, the GPU giant is announcing ...

“There are lot of companies out there just trying to match Nvidia’s performance; they haven’t even begun to address the deep and broad software stack that turns all those transistors into solutions.” Some of these systems will incorporate the H100 via Nvidia’s forthcoming Grace Hopper Superchips, which will feature tightly linked Grace CPUs and Hopper GPUs. The H100s are also making their way to the cloud, of course, with Nvidia announcing that AWS, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure will all be “among the first” to deploy H100-based instances sometime next year. The H100, Nvidia says, delivers 30 teraflops (FP64) of computing power (compare: 9.7 for the A100) and offers 3.5× more energy efficiency and 3× lower TCO relative to the A100. On that front, just a couple months ago, Nvidia quietly announced that its new DGX systems would make use of Intel’s forthcoming Sapphire Rapids CPUs — a shift from the AMD Epyc CPUs that had powered their prior-generation (A100) systems. Just about six months ago, Nvidia’s spring GTC event saw the announcement of its hotly anticipated Hopper GPU architecture.

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.

TSMC apple bionic TSMC snapdragon TSMC ryzen And TSMC nvidia. What are you going to do guys without TSMC ? Reply. F. FatShady; CLs; 22 minutes ago.

Thats enough for me to lose interest on gaming and PC building. [Feem, 4 hours ago](#2588273)@PMKLR3m Yeah, the contract between EVGA and Nvidia got terminated and EVGA said it was becau... [more](#2588273)Nvidia became too much greedy towards partners and with no support at all; for example the price of GPU is declining and Nvidia is undercutting the partners by dropping the price without any information for the OEM ... Dont waste your money on ngredia,who forget about u for the past 4 years and focus on GPU mining. [GregLu, 4 hours ago](#2588292)Nvidia became too much greedy towards partners and with no support at all; for example the pri... [Anonymous, 4 hours ago](#2588275)Euro prices make me sad, and if nvidia didn't lie like with 3000 series, we can add anoth... :( [more](#2588298)I don't know about AMD and their partner/relation but if you have news, I'm all ears. - 👍 [GregLu, 1 hour ago](#2588368)I don't know about AMD and their partner/relation but if you have news, I'm all ears... - Anonymous - xhm

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.

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).

NVIDIA kicked off the GTC 2022 session with a keynote by CEO Jensen Huang that was heavy with impressive graphics and animation.

NVIDIA is also working with operating system partners like Canonical, Red Hat, and SUSE to bring full-stack, long-term support to the platform. NVIDIA DRIVE Thor is the next-generation centralized computer for safe and secure autonomous vehicles. The NVIDIA Jetson family now spans six Orin-based production modules supporting a full range of edge AI and robotics applications. NVIDIA also announced that its automotive pipeline has increased to over $11 billion over the next six years, following a series of design wins with vehicle makers from around the globe. Using Omniverse Cloud, individuals and teams can experience in one click the ability to design and collaborate on 3D workflows without the need for any local compute power. The L40 GPU’s third-generation RT Cores and fourth-generation Tensor Cores will deliver powerful capabilities to Omniverse workloads running on OVX, including accelerated ray-traced and path-traced rendering of materials, physically accurate simulations, and photorealistic 3D synthetic data generation. The NVIDIA BioNeMo Service is a cloud application programming interface (API) that expands LLM use cases beyond language and scientific applications to accelerate drug discovery for pharma and biotech companies. NVIDIA Omniverse Cloud is the company’s first software- and infrastructure-as-a-service offering. A five-year license for the NVIDIA AI Enterprise software suite is now included with H100 for mainstream servers. First on the agenda was the announcement of the next-generation GeForce RTX 40 series GPUS powered by ADA Lovelace, designed to deliver extreme performance for gamers and creators. Next was the NVIDIA DLSS 3, the next revolution in the company’s Deep Learning Super Sampling neural graphics technology for games and creative apps. Additionally, some of the world’s leading higher education and research institutions will use H100 to power their next-generation supercomputers.

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.

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.

Nvidia RTX 6000 'Ada Lovelace' workstation GPU promises to boost performance by changing the way viewports and scenes are rendered.

However, Nvidia also dedicated some time to engineering simulation, specifically the use of Ansys software, including Ansys Discovery and Ansys Fluent for Computational Fluid Dynamics (CFD). With Shader Execution Reordering (SER), the Nvidia RTX 6000 dynamically reorganises its workload, so similar shaders are processed together. Nvidia DLSS has been around for several years and with the new ‘Ada Lovelace’ Nvidia RTX 6000, is now on its third generation. It processes the new frame, and the prior frame, to discover how the scene is changing, then generates entirely new frames without having to process the graphics pipeline. The Nvidia RTX 6000 is a dual slot graphics card with 48 GB of GDDR6 memory (with error-correcting code (ECC)), a max power consumption of 300 W and support for PCIe Gen 4, giving it full compatibility with workstations featuring the latest Intel and AMD CPUs. It is not to be confused with 2018’s Turing-based [Nvidia Quadro RTX 6000](https://aecmag.com/features/nvidia-takes-giant-leap-with-real-time-ray-tracing/).

NVIDIA has presented the Jetson Orin Nano series, a pair of system-on-modules (SOM) that supposedly deliver up to 80x the performance of the original Jetson ...

On the other hand, the Jetson Orin Nano 8GB has not only double the RAM, but also a 128-bit memory bus with a 68 GB/s bandwidth. On the one hand, there is the Jetson Orin Nano 4GB, which has a 512-core Ampere architecture GPU with 16 Tensor cores and a peak 625 MHz clock speed. Incidentally, the 4 GB model operates at between 5 W and 10 W, compared to the 7 W to 15 W that its 8 GB sibling consumes. Also, the 8 GB model has double the GPU capabilities and AI performance, albeit with the same 625 MHz GPU clock speed. NVIDIA adds that both SOMs measure 69.6 x 45 mm, thereby conforming to the 260-pin SO-DIMM connector standard. Supposedly 80x faster than the original Jetson Nano that arrived in 2019, the Jetson Orin Nano will be available in two variants at different price points.

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.

Whether for virtual assistants, transcriptions or contact centers, voice AI services are turning words and conversations into bits and bytes of business ...

“Our clients are looking for a streamlined path to conversational AI deployment, and NVIDIA Riva supports that path.” It’s certified to deploy anywhere — from the enterprise data center to the public cloud — and includes global enterprise support to keep AI projects on track. It’s also developing digital avatars with Riva for telecommunications and other industries. Speech AI pipelines can be complex and require coordination across multiple services. “Delivered through the HPE GreenLake cloud platform, this system enables developers to accelerate the development and deployment of next-generation speech AI applications.” - Deloitte supports clients looking to deploy ASR and TTS use cases, such as for order-taking systems in some of the world’s largest quick-order restaurants. Proof of concepts with NVIDIA Riva are in progress. Global organizations have adopted Riva to drive voice AI efforts, including T-Mobile, Deloitte, HPE, Interactions, 1-800-Flowers.com, Quantiphi and Kore.ai. [NVIDIA TAO Toolkit](https://developer.nvidia.com/tao-toolkit), which allows for custom datasets in a no-code environment. NVIDIA Riva enables companies to explore larger deep learning models and develop more nuanced voice systems. Riva is built to be fully customizable at every stage of the speech AI pipeline to help solve unique problems efficiently. Riva also brings improvements in accuracy for English, German, Mandarin, Russian and Spanish.

NEW TAIPEI CITY, Taiwan, Sept. 22, 2022 /PRNewswire/ -- Aetina Introduces End-to-End AI Management Solution Powered by NVIDIA AI at GTC.

With NVIDIA Fleet Command™, the solution team remotely deployed the model on Aetina's AI inference platform— [MegaEdge](https://www.aetina.com/products-features.php?t=336) AIP-FQ47—in the factory of Aetina's client from NGC, successfully developing the prototype of the AOI system. These tools include NVIDIA Fleet Command™, and the [NVIDIA AI Enterprise](https://www.nvidia.com/en-us/data-center/products/ai-enterprise/) software suite, which provides enterprise support for the [NVIDIA TAO](https://developer.nvidia.com/tao) toolkit and [NVIDIA Triton](https://developer.nvidia.com/nvidia-triton-inference-server) [ Inference Server](https://developer.nvidia.com/nvidia-triton-inference-server) [™](https://developer.nvidia.com/nvidia-triton-inference-server). When the AI-powered AOI system is fully built in the future, it will be installed in the factory of Aetina's client to run inspection tasks in multiple production lines. The solution helps global AI partners and clients of Aetina successfully adopt edge AI using NVIDIA AI development and deployment tools, as well as Aetina's NVIDIA AI-powered training and inference platforms. Aetina helped the client develop a prototype of the AI-powered AOI system. AI model deployment can also be difficult when the system integrators and developers have multiple remote edge devices in different locations. The flash and DRAM products that Aetina's client produces are small and complex electronic components designed for harsh environments and applications; the producer of these components needed an AOI system capable of processing high-resolution image recognition tasks with high processing speed. The solution consists of Aetina's The AI model training process involves collecting and labeling large amounts of data using high-performance computing platforms, which can result in high training costs. The end-to-end AI management solution is a part of Aetina Pro-AI Service—which helps global partners and clients adopt AI for different vertical applications besides AOI in factories, with Aetina's edge AI hardware and software. [NVIDIA-](https://www.nvidia.com/en-us/data-center/products/certified-systems/) [C](https://www.nvidia.com/en-us/data-center/products/certified-systems/) [ertified](https://www.nvidia.com/en-us/data-center/products/certified-systems/) edge computing platforms and NVIDIA's AI model development and deployment tools. To adopt edge AI, system integrators and developers need to train AI models and deploy them on edge devices.

Nvidia Corp CEO Jensen Huang holds one of the company's new RTX 4090 chips for computer gaming in this undated handout photo provided September 20, 2022.

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. Bottom line In the end, we think Nvidia's pricing is as much about clearing out inventory as it is inflation and think the higher sticker, while perhaps frustrating to consumers, is a good sign for shareholders as it should help us get through the inventory glut more quickly and speaks to higher revenue potential in the next up cycle. So, in addition to adjusting for inflation, the pricing on the low end may also be a strategic way to flush out retail channel inventory ahead of the holiday selling season. The first reason has to do with accounting for a decades-high inflationary environment, and the second reason has to do with using the price differential to flush out excess inventory of 30 series GPUs to make room for the next-generation cards based on the just-announced Ada Lovelace architecture, which start hitting the market next month. While those with the cash that demand the latest and greatest will no doubt go for the new 40 series chips, most gamers and creators may instead opt for the 30 series, which still offer great performance but are also now seeing steep discounts at retailers as Nvidia and channel partners look to flush out inventory ahead of the 40 series hitting shelves. Put another way, if we were to adjust for inflation, a comparable 40 series price tag (think 2020 dollars) would be about $770 for the 4080 and $1,650 for the 4090.

When queried over high PC GPU prices, Nvidia's Jensen Huang said 'Moore's Law is dead'

Now, Nvidia is signaling its intent to keep the price squeeze on consumers as well, and with prices this high, we’re in uncharted waters. [sticker shock from Nvidia’s reveal of astronomical prices](https://kotaku.com/pc-nvidia-rtx-4090-4080-gpu-card-prices-crypto-scalping-1849560018) for its new 4000-series graphics cards yesterday gave you disadvantage on perception checks, I bring bad news: It’s not likely to get any better, at least as far as Nvidia is concerned. Yesterday, an Nvidia spokesperson told Kotaku that, “RTX 3080 10GB is still an incredible value and we’ll continue to offer it in our lineup.”

Nvidia Corp unveiled new flagship chips for video gamers that use artificial intelligence to enhance graphics.

To recall, in the second quarter of this year, Nvidia’s gaming department revenue was down 33% year-over-year (YoY) to US$2.04 billion, which was a sharper decline than the company anticipated. Huang also announced [NVIDIA DLSS 3](https://www.nvidia.com/en-us/geforce/news/dlss3-ai-powered-neural-graphics-innovations/) — the next revolution in the company’s Deep Learning Super Sampling neural-graphics technology for games and creative apps. In contrast, the company’s data center business did slightly better with a 61% increase on an annual basis to US$3.8 billion, driven by what the company calls “hyperscale” customers, which are big cloud providers. On that momentum, the US chipmaker announced a slew of new chips for gaming, AI, as well as [autonomous driving space](https://techwireasia.com/2022/09/nvidia-drive-thor-brings-more-thunder-to-autonomous-vehicles/). Huang shared that the H100 GPUs will ship in the third quarter of this year, and Grace is “on track to ship next year”. It can overcome CPU performance limitations in games by allowing the GPU to generate entire frames independently. During the conference, Huang also introduced the company’s newest series of graphic cards known as Ada Lovelace. No doubt, Nvidia has gained attention in recent years with its booming data center business, which sells chips used in AI work such as natural language processing. With the company’s NVLink high-speed communication pathway, customers can also link as many as 256 H100 chips to each other into “essentially one mind-blowing GPU,” Huang said at the online conference. The A100 is basically the highest-end member of the family of GPUs that propelled Nvidia to business success. Rivals include Intel’s upcoming Ponte Vecchio processor, with more than 100 billion transistors, and a host of The AI-powered technology can generate entire frames for massively faster game play.

By Bio-IT World Staff. September 22, 2022 | At NVIDIA's annual GTC event two days ago, the company made two particular announcements key to the life ...

Second, the company revealed plans to expand large language models to biology, announcing BioNeMo. Now the company has extended the same model and tuned it for biology, reducing training time from months to days. At NVIDIA’s annual GTC event two days ago, the company made two particular announcements key to the life sciences space.