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And so, it allows us, number two, to create new applications together and develop new markets together. And we benefit by getting customers on our computing platform, and they benefit by having us in their cloud, number one. But number two, the amount of data and services and security services and all of the amazing things that Azure and GCP and OCI have, they can instantly have access to that through Omniverse Cloud.
If that data center is running a few applications for a few people for a specific use case and is doing it continuously, and that infrastructure costs you, pick a number, $500 million. The difference between InfiniBand and ethernet could be 15%, 20% in overall throughput. And if you spent $500 million on an infrastructure and the difference is 10% to 20%, and it’s $100 million, InfiniBand’s basically free. InfiniBand and ethernet are — target different applications in a data center. And then, the second aspect of it is training the model, refining the model. And the third is deploying model for inferencing.NVIDIA AI Enterprise supports and patches and security patches continuously all of those 4,000 packages of software.
Lastly, our Grace data center CPU is sampling with customers. At this week’s International Supercomputing Conference in Germany, the University of Bristol announced a new supercomputer based on the NVIDIA Grace CPU superchip, which is 6x more energy efficient than the previous supercomputer. This adds to growing momentum for Grace with both CPU-only and CPU-GPU opportunities across AI and cloud and supercomputing applications. The coming wave of BlueField-3, Grace, and Grace Hopper superchips will enable a new generation of super energy-efficient accelerated data centers.
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But obviously, these are very — three very important ones. You’re going to see that more and more companies realize they have a factory for intelligence — an intelligence factory. You need to align the AI for physics, and aligning an AI for ethics includes a technology called reinforcement learning human feedback. In the case of industrial applications and robotics, it’s reinforcement learning Omniverse feedback.
The U.S. government is worried that China will use advanced processors for military applications. At OptionSlam.com we make a concerted effort to provide the most accurate Earnings Calendar available by cross checking various sources including newswire feeds, brokerages, exchanges and individual corporate investor relations websites. Volatility profiles based on trailing-three-year calculations of the standard deviation of service investment returns.
The RTX 4070 is nearly 3x faster than the RTX 2070 and offers our large installed base, a spectacular upgrade. Last week, we launched the 60 family, RTX 4060 and 4060 TI, bringing our newest architecture to the world’s core gamers starting at just $299. These GPUs, for the first time, provide 2x the performance of the latest gaming console at mainstream price points.
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Our new design win will extend BYD’s use of the DRIVE Orin to its next-generation, high-volume Dynasty and Ocean series of vehicles set to start production in calendar 2024. Sequential growth was driven by stronger workstation demand across both mobile and desktop form factors, with strength in key verticals such as public sector, healthcare, and automotive. We believe the channel inventory correction is behind us. The ramp of our Ada Lovelace GPU architecture in workstations kicks off a major product cycle. At GTC, we announced six new RTX GPUs for laptops and desktop workstations, with further rollouts planned in the coming quarters.
- “Our entire data center family of products — H100, Grace CPU, Grace Hopper Superchip, NVLink, Quantum 400 InfiniBand and BlueField-3 DPU — is in production.
- Generative AI is a major new workload for NVIDIA-powered workstation.
- It can’t be reproduced or transcribed without our prior written consent.
- We expect this dynamic to linger for the rest of the calendar year.
- Data is available from 2006-present — historical timeframes vary per dataset.
NVIDIA Omniverse Cloud will be available starting in the second half of this year. Microsoft NVIDIA will also connect Office365 applications with Omniverse. Omniverse Cloud is being used by companies to digitize the workflows from design and engineering to smart factories and 3D content generation for marketing. The automotive industry has been a leading early adopter of Omniverse, including companies such as BMW Group, Geely Lotus, General Motors and Jaguar Land Rover.
NVDA Next Earnings Date FAQ
The Actual EPS was $1.09, which beat the estimate of $0.92. You have already added five stocks to your watchlist. Upgrade to MarketBeat All Access to add more stocks to your watchlist. The Zacks Equity Research reports, or ZER for short, are our in-house, independently produced research reports. The industry with the best average Zacks Rank would be considered the top industry (1 out of 265), which would place it in the top 1% of Zacks Ranked Industries.
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And so, that — those were the primary reasons for it. Our partnership with the three CSPs and that we currently have DGX Cloud in and their sales force and marketing teams, their leadership teams is really quite spectacular. The difference in data center throughput is just — it’s too great to ignore. And so — however, if your data center is a cloud data center and it’s multi-tenant, it’s a bunch of little jobs, a bunch of little jobs and is shared by millions of people, then ethernet is really the right answer.
- “The computer industry is going through two simultaneous transitions — accelerated computing and generative AI,” said Jensen Huang, founder and CEO of NVIDIA.
- An industry with a larger percentage of Zacks Rank #1’s and #2’s will have a better average Zacks Rank than one with a larger percentage of Zacks Rank #4’s and #5’s.
- And so, our value proposition is in the final analysis.
- Some of them, part that — many of them could come from companies like ServiceNow and Adobe that we’re partnering with in AI Foundations.
In networking, we saw strong demand at both CSPs and enterprise customers for generative AI and accelerated computing, which require high-performance networking like NVIDIA’s Mellanox networking platforms. Demand relating to general purpose CPU infrastructure remains soft. As generative AI applications grow in size and complexity, high-performance networks become essential for delivering accelerated computing at https://g-markets.net/calculators/ data center scale to meet the enormous demand of both training and inferencing. Our 400-gig Quantum-2 InfiniBand platform is the gold standard for AI-dedicated infrastructure, with broad adoption across major cloud and consumer internet platforms, such as Microsoft Azure. “The computer industry is going through two simultaneous transitions — accelerated computing and generative AI,” Huang said in a news release.
It allows the user to better focus on the stocks that are the best fit for his or her personal trading style. In the forecasted earnings dates table above, we include a one-year outlook on forecasted dates for Nvidia based on Wall Street Horizon’s proprietary algorithm.
Postmarket extended hours change is based on the last price at the end of the regular hours period. Premarket extended hours change is based on the day’s regular session close. Keep it locked on Shacknews for all the technology and gaming financial news as it breaks. Nvidia ranks fourth out of 37 stocks in IBD’s fabless semiconductor industry group, according to IBD Stock Checkup.
You saw that I announced L4, L40, H100 NVL, which also has H100. And then, it has — and then, we have H100 HGX, and then we have H100 multinode with NVLink. And so, there’s a — you could have model sizes of any kind that you like. Whether you’re — whether — you start by building a large language model, and you use that large language model, very large version, and you could distill them into medium, small, and tiny size.
The table shows you the number of analysts who submitted estimates, along the with high and low estimate from that group. We also provide the Prior Year’s Average Estimate, along with the Growth Rate over the previous year. Earnings Estimates are an important tool used to evaluate the overall strength and value of a stock. Barchart uses Zack’s earnings estimates, generated by their market analysts and used to project profitability. Earnings Estimates are available only for US equities. And the rest of us kind of found out about it publicly a few months ago.
When will NVDA Report Earnings?
We can see in real time the growth of generative AI in CSPs, both for training the models, refining the models, as well as deploying the models. As Colette said earlier, inference is now a major driver of accelerated computing because generative AI is used so capably in so many applications already. There are two segments that require a new stack of software, and the two segments are enterprise and industrials.
And we also expect to see growth both in our computing, as well as in our networking business. We have held opex at roughly the same level over the last — past four quarters while working through the inventory corrections in gaming and professional visualization. We now expect to increase investments in the business while also delivering operating leverage. We returned 99 million to shareholders in the form of cash dividends.
In addition, Google is integrating our Triton Inference Server with Google Kubernetes engine and its cloud-based Vertex AI platform. And with the launch of DGX Cloud through our partnership with Microsoft Azure, Google Cloud, and Oracle Cloud Infrastructure, we deliver the promise of NVIDIA DGX to customers from the cloud. Whether customer — whether the customers deploy DGX on-prem or via DGX Cloud, they get access to NVIDIA AI software, including NVIDIA-based command, end-to-end AI frameworks, and pretrained models. We provide them with the blueprint for building and operating AI, spanning our expertise across systems, algorithms, data processing, and training methods. “Our entire data center family of products — H100, Grace CPU, Grace Hopper Superchip, NVLink, Quantum 400 InfiniBand and BlueField-3 DPU — is in production.
Mediatrice familiare, civile e commerciale, counselor, conduttrice gruppi di parola, formatrice,
laureata in Scienze per la pace: cooperazione internazionale e trasformazione dei conflitti presso
l’Università di Pisa. Da oltre dieci anni accompagno individui, coppie e famiglie in percorsi di
counseling e mediazione familiare con lo scopo di aiutarli ad affrontare e risolvere difficoltà
personali, relazionali o conflittualità.
Per dieci anni ho collaborato con un Centro Antiviolenza sostenendo donne vittime di
maltrattamento intrafamiliare e stalking nell’uscita dalla violenza. In questo ambito sono stata
docente in diversi contesti formativi rivolti ad operatori socio-sanitari e Forze dell’Ordine.
Sono docente in master per mediatori familiari e mi occupo di formazione in ambito aziendale.
Dal 2014 sono responsabile per la Lombardia del progetto Cominciamo da Piccoli di Fondazione
Paracelso che prevede l’affiancamento di una mediatrice alla famiglia fin dal momento della
diagnosi per sostenere i genitori di piccoli con emofilia aiutandoli ad affrontare, praticamente ed
emotivamente, tutti i bisogni che possono insorgere.
Dal 2018 collaboro con A.C.E. Associazione Coagulopatici ed Emofilici nell’ambito del progetto In
Ascolto a favore dei pazienti adolescenti, adulti e anziani dei Centro Emofilia del Policlinico di
Milano e dell’Humanitas di Rozzano (Mi) e dei loro familiari mettendo a loro disposizione uno
spazio di counseling e mediazione familiare.
Profondamente convinta che, come osserva Fritjof Capra, l’unica vera logica che governa
l’universo è quella cooperativa nella quale più io sto bene, più tu stai bene.
Contatti: e-mail sonja.riva@yahoo.it; telefono 335-8293773
