Latest news with #AIEnterprise
Yahoo
21-05-2025
- Business
- Yahoo
Accenture unveils on-premise AI for enterprise adoption
Accenture has collaborated with Dell Technologies and Nvidia to accelerate enterprise adoption of AI. The partnership introduces a new AI solution built on Dell Technologies' infrastructure and powered by NVIDIA AI Enterprise software. It is tailored to support organisations operating in regulated industries or those heavily invested in on-premises infrastructure, Accenture said. The collaboration enhances the capabilities of Accenture's AI Refinery platform by integrating it with Dell's high-performance and Nvidia-accelerated infrastructure. This enables one-click deployment of agentic AI capabilities, allowing companies to realise value and reduce total cost of ownership. Accenture said it will also support AI deployment with the Nvidia Enterprise AI Factory validated design, which serves as a blueprint for organisations to establish on-premise AI factories using NVIDIA Blackwell and a comprehensive ecosystem of AI partners. The solution is designed to help organisations rapidly scale AI in private, on-prem environments while supporting key requirements such as data sovereignty, compliance, resiliency, and high availability. It also addresses the need for security and privacy controls in air-gapped environments or restricted network zones, ultra-low latency for real-time applications, and edge or offline use cases where reliable internet access is scarce. Accenture chief AI officer Lan Guan said: 'Through this collaboration with Dell Technologies and NVIDIA, Accenture is bringing the power of AI Refinery to on-premises infrastructure, providing an open, interoperable, scalable and secure solution that paves the way for widespread AI adoption. 'Together, we're empowering organisations to accelerate reinvention and unlock new value from data while future-proofing their investments.' Dell Technologies chief technical officer and senior vice-president Ihab Tarazi said: 'Our collaboration with Accenture and NVIDIA will provide customers with scalable end-to-end agentic AI capabilities to bring AI to their data on-premises.' Accenture said that preconfigured packages combine AI Refinery with the Dell AI Factory and Nvidia, including Nvidia Enterprise AI software. This streamlines data transfer and indexing, fostering data-driven agentic insights. This full-stack solution facilitates enterprise AI transformation by allowing rapid service prototyping with modular frameworks, dynamic cloud-to-edge orchestration, and automated workflows. Nvidia enterprise AI products vice-president Justin Boitano said: 'Together, Nvidia, Accenture and Dell deliver a turnkey AI platform for enterprises to accelerate transformation, unlock new value from data and confidently scale AI in alignment with operational requirements.' In April 2025, Accenture expanded its alliance with Google Cloud, unveiling a suite of new capabilities to assist organisations in scaling advanced cloud and AI technologies. "Accenture unveils on-premise AI for enterprise adoption" was originally created and published by Verdict, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Techday NZ
20-05-2025
- Business
- Techday NZ
HPE expands NVIDIA partnership to boost AI platforms & storage
Hewlett Packard Enterprise has announced expanded integration with NVIDIA to enhance its AI portfolio and support organisations throughout the AI lifecycle. HPE detailed several updates to its AI offerings, including support for NVIDIA's recent technologies in the HPE Private Cloud AI platform, improvements to storage with the Alletra Storage MP X10000, and server and software enhancements. These integrations are aimed at speeding up the deployment of AI solutions by enterprises, service providers, and research institutions. The HPE Private Cloud AI, co-developed with NVIDIA, now incorporates feature branch model updates from NVIDIA AI Enterprise, and is aligned with the NVIDIA Enterprise AI Factory validated design. This update provides AI developers with the ability to test, validate, and optimise workloads by leveraging the full capabilities of NVIDIA's software, including frameworks and microservices for pre-trained models. Antonio Neri, President and Chief Executive Officer of HPE, said: "Our strong collaboration with NVIDIA continues to drive transformative outcomes for our shared customers. By co-engineering cutting-edge AI technologies elevated by HPE's robust solutions, we are empowering businesses to harness the full potential of these advancements throughout their organisation, no matter where they are on their AI journey. Together, we are meeting the demands of today, while paving the way for an AI-driven future." Jensen Huang, Founder and Chief Executive Officer of NVIDIA, added: "Enterprises can build the most advanced NVIDIA AI factories with HPE systems to ready their IT infrastructure for the era of generative and agentic AI. Together, NVIDIA and HPE are laying the foundation for businesses to harness intelligence as a new industrial resource that scales from the data center to the cloud and the edge." Joseph Yang, General Manager of HPC and AI for APAC and India at HPE, commented: "As AI-driven solutions continue to grow in demand across the APAC region, this deepened integration between HPE and NVIDIA will accelerate enterprises' ability to leverage AI at scale. With innovations like HPE Private Cloud AI and the Alletra Storage MP X10000, businesses in APAC will be able to seamlessly streamline AI development, from data ingestion to model training and continuous learning, all while ensuring performance, security, and efficiency." The HPE Private Cloud AI platform aims to help organisations standardise their approach to AI across different departments, reducing risk and supporting scaling from developer environments to production-ready generative AI applications. New feature branch support allows businesses to experiment with different model features while maintaining safe, multi-layered strategies through existing production branch support. HPE Alletra Storage MP X10000 now offers a software development kit (SDK) compatible with the NVIDIA AI Data Platform reference design. This SDK facilitates the integration of enterprise unstructured data directly with NVIDIA's ecosystem, supporting data ingestion, inference, training, and ongoing learning processes. The system leverages remote direct memory access (RDMA) technology to transfer data efficiently between the X10000, GPU memory, and system memory, increasing the speed and effectiveness of AI workflows. The new storage SDK enables flexible inline data processing, metadata enrichment, and data management, while also providing a modular, composable approach to scaling deployment as organisational needs evolve. This integration supports customers in unifying storage and intelligence layers for real-time data access from core to cloud environments. On the compute front, HPE ProLiant Compute DL380a Gen12 servers have ranked first in over 50 industry benchmark scenarios, including tasks such as language models GPT-J and Llama2-70B, and computer vision models ResNet50 and RetinaNet. This server will soon be available with up to ten NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, designed for intensive enterprise AI workloads such as multimodal AI inference, physical AI, and advanced design or video applications. Key features of the DL380a Gen12 include both air-cooled and direct liquid-cooled (DLC) options, advanced security with post-quantum cryptography readiness, and automated management tools for proactive system health and energy efficiency. Additional benchmark-topping servers include the HPE ProLiant Compute DL384 Gen12 with dual-socket NVIDIA GH200 NVL2 and the HPE Cray XD670 with eight NVIDIA H200 SXM GPUs, both achieving high rankings in recent benchmarks. HPE's OpsRamp Software has also been updated to support NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. The SaaS platform enables IT teams to observe AI infrastructure health and performance, automate workflows, and gain AI-supported analytics. Integration with NVIDIA's infrastructure ecosystem allows for detailed monitoring of GPU metrics and energy optimisation for distributed AI workloads. Through these enhancements, HPE and NVIDIA seek to offer organisations across different sectors the tools to manage data pipelines, model training, and AI optimisation more efficiently, supporting the adoption and scaling of AI technologies in a secure and tailored manner.
Yahoo
13-05-2025
- Business
- Yahoo
These High-Growth Stocks Were Down Over 50% This Year. Is It Time to Buy Them?
SoundHound AI is a leading voice technology company that just doubled its revenue over the year-ago quarter. The Trade Desk stock tumbled earlier this year, but its first-quarter results sent the stock sharply higher. 10 stocks we like better than SoundHound AI › For investors that still have many years before retirement, growth stocks are one of the most efficient ways to increase their net worth. But the recent market sell-off is a good reminder that even the most promising companies can see their share prices fall in any given year. But investors should never judge the investment merits of a business by its stock performance, since stocks can rise and fall for all kinds of reasons in the near term. A lot of the day-to-day movement in the markets is driven by traders who have a much shorter time frame for making money than retirement savers do. SoundHound AI (NASDAQ: SOUN) and The Trade Desk (NASDAQ: TTD) are two growth stocks that fell hard this year. These companies just reported their first-quarter financial results. Let's look at what they reported, and whether it justifies at much lower prices than where they started 2025. SoundHound AI has shown promising growth potential over the past few years. It is providing conversational voice technology powered by artificial intelligence (AI) to several leading restaurant brands and car companies. After soaring last year to over $20, the stock has fallen 61% from those highs. But after the business just reported another quarter of strong growth, investors have to wonder if it's due for another rally. Revenue grew 151% year over year in the first quarter. This growth was partly boosted by the acquisition of Amelia last year, which will extend the company's technology to new markets like healthcare and financial services. In the quarter, SoundHound unveiled Amelia 7.0, which will allow customers to use voice-enabled AI agents to automatically complete tasks without further instructions. The company has been investing in voice technology for 20 years, and it has accumulated data from millions of conversations in dozens of languages. This is making its voice AI much smarter, potentially providing the company with a competitive advantage. Its relationship with leading AI chip supplier Nvidia validates its capabilities. SoundHound's voice AI is integrated with Nvidia's AI Enterprise platform, which allows it to deliver faster processing and more responsive voice AI. It's making great progress to grow its customer base. No single customer makes up more than 10% of its total revenue, which removes customer-concentration risk from the business. However, SoundHound will still need to improve its profitability, as it reported a large adjusted net loss of $22 million on $29 million of revenue in the first quarter. The stock is also trading at an expensive valuation of 38 times trailing sales. Overall, the company's growth, strategic acquisitions, and collaboration with Nvidia make it a mid-cap stock worth considering. If you're looking for a fast-growing company with huge upside potential in the AI market, SoundHound AI is an intriguing option. If the company can narrow its losses and continue to report high revenue growth, the stock could be a long-term winner. In a year where there is a lot of uncertainty for the economy, marketers are looking for ways to boost the return on their ad spending, and many are increasingly turning to The Trade Desk, a leading digital ad-buying platform. After the stock was cut in half earlier this year over a rare revenue miss in the fourth quarter, The Trade Desk returned with a strong quarter of growth to start 2025. The stock jumped after it reported revenue grew 25% over the year-ago quarter. It also notched a significant improvement in profits, with earnings per share surging 67% year over year. The Trade Desk has been delivering high growth like this for several years. Its average annual revenue growth over the past 10 years is 49%, yet its platform has captured just 1% of total ad spending. Investors are counting on its Kokai platform to drive more growth. Kokai uses AI to scan millions of ad impressions instantly to help ad buyers improve the effectiveness and return on their advertising investment. Management previously said it expected all clients to be using the platform by the end of this year. Over the long term, The Trade Desk should benefit from people spending more time on platforms not owned by tech giants like Google, which controls a large portion of the digital ad market. Only around half of ad spending is going toward the open internet, while over half of Americans spend their time there. This is a big opportunity for The Trade Desk. Analysts expect the company's earnings to grow at an annualized rate of 31% in the coming years. The stock isn't cheap, trading at 41 times expected earnings this year. But investors interested in the The Trade Desk's opportunity should take advantage of the recent dip, because this is about as fair of a valuation investors can expect for this quality growth stock. Before you buy stock in SoundHound AI, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and SoundHound AI wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $614,911!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $714,958!* Now, it's worth noting Stock Advisor's total average return is 907% — a market-crushing outperformance compared to 163% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of May 5, 2025 John Ballard has positions in Nvidia. The Motley Fool has positions in and recommends Nvidia and The Trade Desk. The Motley Fool has a disclosure policy. These High-Growth Stocks Were Down Over 50% This Year. Is It Time to Buy Them? was originally published by The Motley Fool
Yahoo
25-04-2025
- Automotive
- Yahoo
AI Chips Today - Cerence AI Revolutionizing Automotive Interaction With New Partnership
Cerence AI, in collaboration with MediaTek and NVIDIA, has unveiled an advanced multi-modal language model designed for automotive applications, just ahead of Auto Shanghai 2025. This development integrates Cerence's CaLLM Edge technology with MediaTek's Dimensity Auto Cockpit chipsets and NVIDIA's AI Enterprise software, creating a solution that enhances in-car interactions through increased intelligence and security. The system aims to provide both drivers and passengers with personalized, contextually aware experiences by processing information at the edge, thus reducing reliance on cloud resources. This partnership showcases a significant advancement in automotive AI technology, giving automakers new tools for customizable and efficient voice-based systems. last closed at NT$1,385.00 up 4.1%. last closed at $106.43 up 3.6%. In other trading, was a notable mover up 12.4% and ending the day at $47.12. On Thursday, the company introduced the MCPF1412 power module, offering greater efficiency, reduced size, and enhanced reliability for power conversion applications. Meanwhile, softened, down 6.3% to finish the session at HK$34.35. Capitalize on MediaTek's strategic AI and connectivity advancements for potential near-term growth opportunities. Learn more about MediaTek's potential in our detailed narrative. Don't miss our "Market Insights" piece on how DeepSeek's R1 model is shaking up AI chip investments by potentially altering demand for compute power—check it out now to stay ahead of the curve. settled at $94.47 up 4.5%. finished trading at $21.49 up 4.4%. On April 24, Intel reported a first-quarter net loss of USD 821 million, an increase from a USD 381 million loss last year. closed at €591.70 up 1.9%. On Wednesday, during its Annual General Meeting, the company approved a total dividend for 2024 of €6.40 per ordinary share. Get an in-depth perspective on all 49 AI Chip Stocks, including STMicroelectronics, ASM International and Cambricon Technologies, by using our screener here. Ready To Venture Into Other Investment Styles? Uncover 13 companies that survived and thrived after COVID and have the right ingredients to survive Trump's tariffs. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Sources: Simply Wall St "Cerence AI and MediaTek Partner to Introduce Multi-Modal Language Models Running on the Edge, Built on NVIDIA" from Cerence Operating Company on GlobeNewswire (published 23 April 2025) Companies discussed in this article include NasdaqGS:MCHP NasdaqGS:AMD NasdaqGS:INTC TWSE:2454 NasdaqGS:NVDA ENXTAM:ASML and SEHK:1347. This article was originally published by Simply Wall St. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@
Yahoo
23-04-2025
- Business
- Yahoo
Why Nvidia Stock Is Rising Today
Nvidia (NASDAQ: NVDA) stock is jumping in Wednesday's trading. The artificial intelligence (AI) hardware leader's share price was up 4.6% as of 10:45 a.m. ET. The S&P 500 and the Nasdaq Composite were up 2.8% and 3.5%, respectively, at the same point in the day's trading. Nvidia's valuation is rapidly moving higher today thanks to indications that the Trump administration is adopting a softer trade-war stance that could help lower tariffs and ease tensions with China. Investors are also getting some good news about adoption for the company's AI Enterprise software platform. Where to invest $1,000 right now? Our analyst team just revealed what they believe are the 10 best stocks to buy right now. Continue » President Donald Trump said yesterday that tariffs on China will "come down substantially" from their current levels. Along with comments from Treasury Secretary Scott Bessent and White House Press Secretary Karoline Leavitt, Trump's recent statements appear to signal a significant shift in the administration's approach to trade-war dynamics. Investors are seeing a potential resolution to a huge source of uncertainty, and it's powering strong bullish momentum for Nvidia stock and the broader market. Outside of macroeconomic and geopolitical developments, sales performance for AI processors will continue to be the biggest performance driver for Nvidia stock for the foreseeable future. But the company is continuing to make progress on software initiatives that extend beyond the CUDA AI software development platform that is currently strengthening its hardware ecosystem. Along those lines, Cerence announced today that it had partnered with MediaTek to develop the next generation of its in-vehicle AI platform and that they will be using Nvidia's AI Enterprise software platform. Nvidia has positioned itself as an early leader in agentic AI services, and these technologies have the potential to have powerfully accretive impacts on the company's top-and-bottom-line results over the long term. In addition to offering AI processing as a service, the company appears to be making some smart moves that could help it reduce exposure to cyclical hardware demand trends. Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Nvidia wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $561,046!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $606,106!* Now, it's worth noting Stock Advisor's total average return is 811% — a market-crushing outperformance compared to 153% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of April 21, 2025 Keith Noonan has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Nvidia. The Motley Fool recommends Cerence. The Motley Fool has a disclosure policy. Why Nvidia Stock Is Rising Today was originally published by The Motley Fool Sign in to access your portfolio
