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US multinational computer technology company Oracle’s logo is pictured at the Mobile World Congress (MWC), the telecom industry’s biggest annual gathering, in Barcelona on February 27, 2024. The world’s biggest mobile phone fair throws open its doors in Barcelona with the sector looking to artificial intelligence to try and reverse declining sales. (Photo by PAU BARRENA / AFP) (Photo by PAU BARRENA/AFP via Getty Images)

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U.S. cloud infrastructure provider Oracle is boosting its generative AI capabilities as cloud competition intensifies and more companies jump into AI.

The AI boom — fueled by the launch of chatbot ChatGPT in November 2022 — is driving an increase in demand for cloud computing services and data centers, as large amounts of data are required in AI model training and the cloud provides access to vast datasets.

Oracle has been introducing generative AI capabilities into its cloud infrastructure and applications to complement the traditional AI already embedded in them.

“The classic AI is very good in terms of detecting patterns or predicting numbers … but you cannot use large language models to predict numbers,” Rondy Ng, executive vice president of applications development at Oracle, told CNBC.

“So we combined the predictive numbering capability with the explained ability in words. So the two together become very powerful and you need both. In the past many years, the number prediction part is already very mature. As part of the product we continue to evolve that and it’s not going to stop. Generative AI is basically the talk of the town right now,” said Ng.

In March, Oracle announced additional generative AI features embedded across applications in finance, supply chain, human resources, sales, marketing, and service. The generative AI capabilities can perform tasks such as generating financial reports and drafting job ads, improving productivity and reducing business costs, Oracle said.

This comes after the firm announced the implementation of generative AI across its technology stack in January.

“We believe Oracle is seeing a renaissance of growth with its AI strategy. [It is] well positioned to be a major beneficiary of the AI revolution,” said Dan Ives, managing director of Wedbush Securities, in emailed comments to CNBC on Wednesday.

“The data Oracle sits on and installed base gives Ellison & co. a major advantage to monetize the software layer of AI,” said Ives, referring to Oracle’s chairman and chief technology officer Larry Ellison.

As firms talked up the generative AI story last year, technology providers have to be one step ahead of the cycle, research firm Gartner said in a report on April 17. “They are bringing GenAI capabilities to existing products and services, as well as to use cases being identified by their enterprise clients.”

JPMorgan has said generative AI and AI could drive incremental IT spending and growth across the software landscape. “Many software vendors, including Oracle, have cited benefits from ongoing investments by businesses into AI technologies,” JPMorgan analysts said in a note on March 12.

Oracle might see an increase in revenue and positive impact on its shares if the company manages to capture a larger-than-expected share of the spending into AI, the U.S. investment bank said. Oracle’s shares have spiked 23.74% in the last 12 months, according to FactSet data.

“Generative AI services [are] basically a huge advantage comparing with our competition. The competition needs to work with different companies and cloud providers for that infrastructure and those kinds of services. We actually take everything into an integrated stack, and we consume that,” Ng told CNBC.

AI growth

Oracle has lagged behind rivals like Amazon, Microsoft and Google in cloud infrastructure service market share, according to Synergy Research Group, which ranked Oracle as the sixth-largest service provider, alongside IBM, globally.

While Oracle was late to cloud infrastructure, the AI boom has increased demand for the company’s AI technology. Ellison had in 2018 dismissed cloud computing as “complete gibberish.”

“Oracle did follow the hyperscalers. [I think] that’s not a competitive concern, say for the rest of 2024 and in the foreseeable future. We’re at the very beginning stage of this whole new generative AI journey,” said Ron Westfall, research director at Futurum Group.

CEO Safra Catz said in March the company added several “large new cloud infrastructure” contracts during the fiscal third quarter. Cloud revenue rose 25% year over year to $5.1 billion, Oracle said.

“Interesting to us is management commentary suggesting its Oracle Cloud Infrastructure backlog is significant and AI isn’t yet really driving revenue, which is expected to be more meaningful in FY25,” said Deutsche Bank analysts on Mar. 12.

Cloud players can monetize AI quicker than other companies, says CFRA's Zino on Microsoft earnings

Ellison said in March that a Salt Lake City data center that Oracle is building can fit eight Boeing 747 airplanes nose-to-tail.

Laying out future market opportunities, Ellison said he sees more national and state government applications being run on platforms like Oracle Cloud Infrastructure, and added that the firm is negotiating sovereign regions with a number of countries.

“Another area [where Oracle] is ahead of the curve, although everybody’s jumping on it, is in terms of offering sovereign AI cloud – a cloud that operates exclusively within a country,” said Westfall.

“More and more countries are going to say when it comes to gen AI, we want all that information, all that data stored within the country.”

In April, Oracle said it would invest more than $8 billion in Japan over the next 10 years to grow cloud computing and AI infrastructure.

Oracle and Nvidia in March announced they will be partnering up to deliver sovereign AI solutions to customers around the world.

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Web giant Cloudflare to block AI bots from scraping content by default

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Web giant Cloudflare to block AI bots from scraping content by default

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Internet firm Cloudflare will start blocking artificial intelligence crawlers from accessing content without website owners’ permission or compensation by default, in a move that could significantly impact AI developers’ ability to train their models.

Starting Tuesday, every new web domain that signs up to Cloudflare will be asked if they want to allow AI crawlers, effectively giving them the ability to prevent bots from scraping data from their websites.

Cloudflare is what’s called a content delivery network, or CDN. It helps businesses deliver online content and applications faster by caching the data closer to end-users. They play a significant role in making sure people can access web content seamlessly every day.

Roughly 16% of global internet traffic goes directly through Cloudflare’s CDN, the firm estimated in a 2023 report.

“AI crawlers have been scraping content without limits. Our goal is to put the power back in the hands of creators, while still helping AI companies innovate,” said Matthew Prince, co-founder and CEO of Cloudflare, in a statement Tuesday.

“This is about safeguarding the future of a free and vibrant Internet with a new model that works for everyone,” he added.

What are AI crawlers?

AI crawlers are automated bots designed to extract large quantities of data from websites, databases and other sources of information to train large language models from the likes of OpenAI and Google.

Whereas the internet previously rewarded creators by directing users to original websites, according to Cloudflare, today AI crawlers are breaking that model by collecting text, articles and images to generate responses to queries in a way that users don’t need to visit the original source.

This, the company adds, is depriving publishers of vital traffic and, in turn, revenue from online advertising.

Read more CNBC tech news

Tuesday’s move builds on a tool Cloudflare launched in September last year that gave publishers the ability to block AI crawlers with a single click. Now, the company is going a step further by making this the default for all websites it provides services for.

OpenAI says it declined to participate when Cloudflare previewed its plan to block AI crawlers by default on the grounds that the content delivery network is adding a middleman to the system.

The Microsoft-backed AI lab stressed its role as a pioneer of using robots.txt, a set of code that prevents automated scraping of web data, and said its crawlers respect publisher preferences.

“AI crawlers are typically seen as more invasive and selective when it comes to the data they consumer. They have been accused of overwhelming websites and significantly impacting user experience,” Matthew Holman, a partner at U.K. law firm Cripps, told CNBC.

“If effective, the development would hinder AI chatbots’ ability to harvest data for training and search purposes,” he added. “This is likely to lead to a short term impact on AI model training and could, over the long term, affect the viability of models.”

WATCH: AI engineers are in high demand — but what is the job really like?

AI engineers are in high demand — but what is the job really like?

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Elon Musk’s xAI raises $10 billion in debt and equity as it steps up challenge to OpenAI

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Elon Musk's xAI raises  billion in debt and equity as it steps up challenge to OpenAI

Elon Musk announced his new company xAI, which he says has the goal to understand the true nature of the universe.

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XAI, the artificial intelligence startup run by Elon Musk, raised a combined $10 billion in debt and equity, Morgan Stanley said.

Half of that sum was clinched through secured notes and term loans, while a separate $5 billion was secured through strategic equity investment, the bank said on Monday.

The funding gives xAI more firepower to build out infrastructure and develop its Grok AI chatbot as it looks to compete with bitter rival OpenAI, as well as with a swathe of other players including Amazon-backed Anthropic.

In May, Musk told CNBC that xAI has already installed 200,000 graphics processing units (GPUs) at its Colossus facility in Memphis, Tennessee. Colossus is xAI’s supercomputer that trains the firm’s AI. Musk at the time said that his company will continue buying chips from semiconductor giants Nvidia and AMD and that xAI is planning a 1-million-GPU facility outside of Memphis.

Addressing the latest funds raised by the company, Morgan Stanley that “the proceeds will support xAI’s continued development of cutting-edge AI solutions, including one of the world’s largest data center and its flagship Grok platform.”

xAI continues to release updates to Grok and unveiled the Grok 3 AI model in February. Musk has sought to boost the use of Grok by integrating the AI model with the X social media platform, formerly known as Twitter. In March, xAI acquired X in a deal that valued the site at $33 billion and the AI firm at $80 billion. It’s unclear if the new equity raise has changed that valuation.

xAI was not immediately available for comment.

Last year, xAI raised $6 billion at a valuation of $50 billion, CNBC reported.

Morgan Stanley said the latest debt offering was “oversubscribed and included prominent global debt investors.”

Competition among American AI startups is intensifying, with companies raising huge amounts of funding to buy chips and build infrastructure.

OpenAI in March closed a $40 billion financing round that valued the ChatGPT developer at $300 billion. Its big investors include Microsoft and Japan’s SoftBank.

Anthropic, the developer of the Claude chatbot, closed a funding round in March that valued the firm at $61.5 billion. The company then received a five-year $2.5 billion revolving credit line in May.

Musk has called Grok a “maximally truth-seeking” AI that is also “anti-woke,” in a bid to set it apart from its rivals. But this has not come without its fair share of controversy. Earlier this year, Grok responded to user queries with unrelated comments about the controversial topic of “white genocide” and South Africa.

Musk has also clashed with fellow AI leaders, including OpenAI’s Sam Altman. Most famously, Musk claimed that OpenAI, which he co-founded, has deviated from its original mission of developing AI to benefit humanity as a nonprofit and is instead focused on commercial success. In February, Musk alongside a group of investors, put in a bid of $97.4 billion to buy control of OpenAI. Altman swiftly rejected the offer.

CNBC’s Lora Kolodny and Jonathan Vanian contributed to this report.

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China’s Huawei open-sources AI models as it seeks adoption across the global AI market

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China's Huawei open-sources AI models as it seeks adoption across the global AI market

In recent years, the company has transformed from a competent private sector telecommunications firm into a “muscular technology juggernaut straddling the entire AI hardware and software stack,” said Paul Triolo, partner and senior vice president for China at advisory firm DGA-Albright Stonebridge Group.

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Huawei has open-sourced two of its artificial intelligence models — a move tech experts say will help the U.S.-blacklisted firm continue to build its AI ecosystem and expand overseas. 

The Chinese tech giant announced on Monday the open-sourcing of the AI models under its Pangu series, as well as some of its model reasoning technology.

The moves are in line with other Chinese AI players that continue to push an open-source development strategy. Baidu also open-sourced its large language model series Ernie on Monday. 

Tech experts told CNBC that Huawei’s latest announcements not only highlight how it is solidifying itself as an open-source LLM player, but also how it is strengthening its position across the entire AI value chain as it works to overcome U.S.-led AI chip export restrictions.

In recent years, the company has transformed from a competent private sector telecommunications firm into a “muscular technology juggernaut straddling the entire AI hardware and software stack,” said Paul Triolo, partner and senior vice president for China at advisory firm DGA-Albright Stonebridge Group.

In its announcement Monday, Huawei called the open-source moves another key measure for Huawei’s “Ascend ecosystem strategy” that would help speed up the adoption of AI across “thousands of industries.”

The Ascend ecosystem refers to AI products built around the company’s Ascend AI chip series, which are widely considered to be China’s leading competitor to products from American chip giant Nvidia. Nvidia is restricted from selling its advanced products to China. 

A Google-like strategy?

Pangu being available in an open-source manner allows developers and businesses to test the models and customize them for their needs, said Lian Jye Su, chief analyst at Omdia. “The move is expected to incentivize the use of other Huawei products,” he added.

According to experts, the coupling of Huawei’s Pangu models with the company’s AI chips and related products gives the company a unique advantage, allowing it to optimize its AI solutions and applications. 

While competitors like Baidu have LLMs with broad capabilities, Huawei has focused on specialized AI models for sectors such as government, finance and manufacturing.

“Huawei is not as strong as companies like DeepSeek and Baidu at the overall software level – but it doesn’t need to be,” said Marc Einstein, research director at Counterpoint Research. 

“Its objective is to ultimately use open source products to drive hardware sales, which is a completely different model from others. It also collaborates with DeepSeek, Baidu and others and will continue to do so,” he added. 

Nvidia CEO: Huawei ‘has got China covered’ if the U.S. doesn’t participate

Ray Wang, principal analyst at Constellation Research, said the chip-to-model strategy is similar to that of Google, a company that is also developing AI chips and AI models like its open-source Gemma models.

Huawei’s announcement on Monday could also help with its international ambitions. Huawei, along with players like Zhipu AI, has been slowly making inroads into new overseas markets.

In its announcement Monday, Huawei invited developers, corporate partners and researchers around the world to download and use its new open-source products in order to gather feedback and improve them.

“Huawei’s open-source strategy will resonate well in developing countries where enterprises are more price-sensitive as is the case with [Huawei’s] other products,” Einstein said. 

As part of its global strategy, the company has also been looking to bring its latest AI data center solutions to new countries. 

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