Representatives from Adobe, Cohere, IBM, Nvidia, Palantir, Salesforce, Scale AI, and Stability attended the White House for the announcement. These eight companies have pledged to play a pivotal role in promoting the development of safe, secure, and trustworthy AI.

The Biden-Harris Administration is actively working on an Executive Order and pursuing bipartisan legislation to ensure the US leads the way in responsible AI development that unlocks its potential while managing its risks.

The commitments made by these companies revolve around three fundamental principles: safety, security, and trust. They have committed to:

1. Ensure products are safe before introduction:

The companies commit to rigorous internal and external security testing of their AI systems before releasing them to the public. This includes assessments by independent experts, helping guard against significant AI risks such as biosecurity, cybersecurity, and broader societal effects.

They will also actively share information on AI risk management with governments, civil society, academia, and across the industry. This collaborative approach will include sharing best practices for safety, information on attempts to circumvent safeguards, and technical cooperation.

2. Build systems with security as a top priority:

The companies have pledged to invest in cybersecurity and insider threat safeguards to protect proprietary and unreleased model weights. Recognising the critical importance of these model weights in AI systems, they commit to releasing them only when intended and when security risks are adequately addressed.

Additionally, the companies will facilitate third-party discovery and reporting of vulnerabilities in their AI systems. This proactive approach ensures that issues can be identified and resolved promptly even after an AI system is deployed.

3. Earn the public’s trust:

To enhance transparency and accountability, the companies will develop robust technical mechanisms – such as watermarking systems – to indicate when content is AI-generated. This step aims to foster creativity and productivity while reducing the risks of fraud and deception.

They will also publicly report on their AI systems’ capabilities, limitations, and areas of appropriate and inappropriate use, covering both security and societal risks, including fairness and bias. Furthermore, these companies are committed to prioritising research on the societal risks posed by AI systems, including addressing harmful bias and discrimination.

These leading AI companies will also develop and deploy advanced AI systems to address significant societal challenges, from cancer prevention to climate change mitigation, contributing to the prosperity, equality, and security of all.

The Biden-Harris Administration’s engagement with these commitments extends beyond the US, with consultations involving numerous international partners and allies. These commitments complement global initiatives, including the UK’s Summit on AI Safety, Japan’s leadership of the G-7 Hiroshima Process, and India’s leadership as Chair of the Global Partnership on AI.

The announcement marks a significant milestone in the journey towards responsible AI development, with industry leaders and the government coming together to ensure that AI technology benefits society while mitigating its inherent risks.

(Photo by Tabrez Syed on Unsplash)

See also: UK’s AI ecosystem to hit £2.4T by 2027, third in global race

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The integration of Azure ND H100 v5 virtual machines (VMs) with NVIDIA H100 Tensor Core GPUs and Quantum-2 InfiniBand networking promises seamless scaling of generative AI and high-performance computing applications, all at the click of a button.

This cutting-edge collaboration comes at a pivotal moment when developers and researchers are actively exploring the potential of large language models (LLMs) and accelerated computing to unlock novel consumer and business use cases.

NVIDIA’s H100 GPU achieves supercomputing-class performance through an array of architectural innovations. These include fourth-generation Tensor Cores, a new Transformer Engine for enhanced LLM acceleration, and NVLink technology that propels inter-GPU communication to unprecedented speeds of 900GB/sec.

The integration of the NVIDIA Quantum-2 CX7 InfiniBand – boasting 3,200 Gbps cross-node bandwidth – ensures flawless performance across GPUs, even at massive scales. This capability positions the technology on par with the computational capabilities of the world’s most advanced supercomputers.

The newly introduced ND H100 v5 VMs hold immense potential for training and inferring increasingly intricate LLMs and computer vision models. These neural networks power the most complex and compute-intensive generative AI applications, spanning from question answering and code generation to audio, video, image synthesis, and speech recognition.

A standout feature of the ND H100 v5 VMs is their ability to achieve up to a 2x speedup in LLM inference, notably demonstrated by the BLOOM 175B model when compared to previous generation instances. This performance boost underscores their capacity to optimise AI applications further, fueling innovation across industries.

The synergy between NVIDIA H100 Tensor Core GPUs and Microsoft Azure empowers enterprises with unparalleled AI training and inference capabilities. This partnership also streamlines the development and deployment of production AI, bolstered by the integration of the NVIDIA AI Enterprise software suite and Azure Machine Learning for MLOps.

The combined efforts have led to groundbreaking AI performance, as validated by industry-standard MLPerf benchmarks:

The integration of the NVIDIA Omniverse platform with Azure extends the reach of this collaboration further, providing users with everything they need for industrial digitalisation and AI supercomputing.

(Image Credit: Uwe Hoh from Pixabay)

See also: Gcore partners with UbiOps and Graphcore to empower AI teams

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The collaboration aims to bring the full NVIDIA accelerated computing stack – from GPUs to systems to software—to Oracle Cloud Infrastructure (OCI).

OCI is adding tens of thousands more NVIDIA GPUs, including the A100 and upcoming H100, to its capacity. Combined with OCI’s AI cloud infrastructure of bare metal, cluster networking, and storage, this provides enterprises a broad, easily accessible portfolio of options for AI training and deep learning inference at scale.

Safra Catz, CEO, Oracle, said: “To drive long-term success in today’s business environment, organizations need answers and insight faster than ever.

“Our expanded alliance with NVIDIA will deliver the best of both companies’ expertise to help customers across industries – from healthcare and manufacturing to telecommunications and financial services – overcome the multitude of challenges they face.”

Accelerated computing and AI are key to tackling rising costs in every aspect of operating businesses,” said Jensen Huang, CEO and founder, NVIDIA. “Enterprises are increasingly turning to cloud-first AI strategies that enable fast development and scalable deployment. Our partnership with Oracle will put NVIDIA AI within easy reach for thousands of companies.”

NVIDIA and Oracle have been serving enterprises together for years with accelerated computing instances and software available via OCI. With the full NVIDIA AI platforms available on OCI instances, the extended partnership is designed to accelerate AI-powered innovation for a broad range of industries to better serve customers and support sales.

NVIDIA AI Enterprise, the globally adopted software of the NVIDIA AI platform, includes essential processing engines for each step of the AI workflow, from data processing and AI model training to simulation and large-scale deployment. NVIDIA AI enables organizations to develop predictive models to automate business processes and gain rapid business insights with applications such as conversational AI, recommender systems, computer vision and more. The parties plan to make an upcoming release of NVIDIA AI Enterprise available on OCI, providing customers with easy access to NVIDIA’s accelerated, secure and scalable platform for end-to-end AI development and deployment

Additionally, Oracle is now offering early access to NVIDIA RAPIDS acceleration for Apache Spark data processing on the OCI Data Flow fully-managed Apache Spark service. Data processing is one of the top cloud computing workloads. To support this demand, OCI Data Science plans to offer support for OCI bare metal shapes, including BM.GPU.GM4.8 with NVIDIA A100 Tensor Core GPUs across managed notebook sessions, jobs, and model deployment.

NVIDIA Clara, a healthcare AI and HPC application framework for medical imaging, genomics, natural language processing, and drug discovery, is also coming soon. Oracle and NVIDIA are additionally collaborating on new AI-accelerated Oracle Cerner offerings for healthcare, which span analytics, clinical solutions, operations, patient management systems and more.

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In an SEC filing, NVIDIA says the US government has informed the chipmaker of a new license requirement that impacts two of its GPUs designed to speed up machine learning tasks: the current A100, and the upcoming H100.

“The license requirement also includes any future NVIDIA integrated circuit achieving both peak performance and chip-to-chip I/O performance equal to or greater than thresholds that are roughly equivalent to the A100, as well as any system that includes those circuits,” adds NVIDIA.

The US government has reportedly told NVIDIA that the new rules are geared at addressing the risk of the affected products being used for military purposes.

“While we are not in a position to outline specific policy changes at this time, we are taking a comprehensive approach to implement additional actions necessary related to technologies, end-uses, and end-users to protect US national security and foreign policy interests,” said a US Department of Commerce spokesperson.

China is a large market for NVIDIA and the new rules could affect around $400 million in quarterly sales.

AMD has also been told the new rules will impact its similar products, including the MI200.

As of writing, NVIDIA’s shares were down 11.45 percent from the market open. AMD’s shares are down 6.81 percent. However, it’s worth noting that it’s been another red day for the wider stock market.

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The deal caught the attention of global regulators with anti-competition investigations launched in several jurisdictions including the UK, EU, and US.

In November 2021, UK Digital Secretary Nadine Dorries decided to block the merger pending the results of a 24-week ‘Phase 2’ investigation.

With the merger looking almost impossible to be approved by regulators, Nvidia has decided to throw in the towel.

Jensen Huang, Founder and CEO of Nvidia, said:

“Arm has a bright future, and we’ll continue to support them as a proud licensee for decades to come.

Arm is at the centre of the important dynamics in computing. Though we won’t be one company, we will partner closely with Arm.

The significant investments that Masa has made have positioned Arm to expand the reach of the Arm CPU beyond client computing to supercomputing, cloud, AI, and robotics.

I expect Arm to be the most important CPU architecture of the next decade.”

Arm has struggled from relatively flat revenues and rising costs despite the huge success of the company’s licensees such as Apple, Qualcomm, and Amazon.

SoftBank, Arm’s current owner, considered and subsequently rejected the idea of pursuing an IPO (Initial Public Offering) of the company in 2019 and again in early 2020.

“We contemplated an IPO but determined that the pressure to deliver short-term revenue growth and profitability would suffocate our ability to invest, expand, move fast, and innovate,” explained Simon Segars, CEO of Arm, last month.

Following the collapse of the Nvidia acquisition, Softbank will now have to reconsider an IPO for Arm.

Dr Lil Read, Analyst in the Thematic Research Team at GlobalData, commented:

“Softbank now needs to think of Arm’s future. An initial public offering (IPO) looks likely – the UK government would surely like to see the home-grown chip designer float in London, and potential IPO reforms could create the perfect environment for this. 

Otherwise, Arm may be ripe for a takeover by a private equity consortium backed by chip-friendly giants such as Apple, Qualcomm, and TSMC – Arm’s largest customers.”

Some of Nvidia’s rivals are said to have offered to invest in Arm if it helps the company to remain independent. A takeover from a private equity consortium looks to be Arm’s best option. If the company has to launch an IPO, it could struggle and will face some difficult choices.

Arm’s largest market, mobile, is saturated. The company will struggle to crack the datacentre and PC markets in the face of strong incumbents like Intel and AMD that have established ecosystem of developers, software, systems, and peripherals, and profits that enable them to make large R&D investments.

In an earlier response to the UK’s Competition and Markets Authority, aiming to quell the regulator’s fears about its acquisition of Arm, Nvidia wrote:

“Nvidia is particularly concerned that these pressures would drive Arm to deprioritize datacenter and PC and to instead focus on its core mobile and growing IoT businesses.

The result would be a concentrated CPU market largely controlled by Intel/AMD (x86).”

Capital markets would likely expect Arm to cut costs to maximise the company’s value. However, SoftBank sounds bullish on its prospects.

“Arm is becoming a centre of innovation not only in the mobile phone revolution, but also in cloud computing, automotive, the Internet of Things, and the metaverse, and has entered its second growth phase,” said Masayoshi Son, Representative Director, Corporate Officer, Chairman, and CEO of SoftBank Group.

Arm has announced a management shake-up in the wake of Nvidia’s exit from the deal.

Rene Haas, the former head of Arm’s intellectual property unit, will take over as the company’s chief executive and lead it during these challenging times. Haas previously worked at Nvidia for seven years.

With the Nvidia acquisition off the table, we can only hope that Haas finds a way to ensure Arm can continue to deliver the semiconductor innovation that it has for three decades.

(Photo by Dustin Tramel on Unsplash)

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The post Nvidia exits from its proposed $40B acquisition of Arm appeared first on AI News.

Nvidia announced plans to acquire Cambridge-based Arm back in September 2020 in a deal worth $40 billion. As two of the biggest names in chip manufacturing, the deal naturally caught the attention of competition regulators around the world.

In November 2021, UK Digital Secretary Nadine Dorries decided to block the merger pending the results of a 24-week ‘Phase 2’ investigation.

Wouldn’t an IPO be an alternative to all of this?

Arm has been struggling from relatively flat revenues and rising costs despite the huge success of the company’s licensees such as Apple, Qualcomm, and Amazon. Arm’s current owner, SoftBank, considered and subsequently rejected the idea of pursuing an IPO (Initial Public Offering) of the company in 2019 and again in early 2020.

Simon Segars, CEO of Arm, explained: “We contemplated an IPO but determined that the pressure to deliver short-term revenue growth and profitability would suffocate our ability to invest, expand, move fast, and innovate.”

In addition, Arm’s largest market, mobile, is saturated and it could be difficult for Arm to crack the datacentre and PC markets in the face of strong incumbents like Intel and AMD that have established ecosystem of developers, software, systems, and peripherals, and profits that enable them to make large R&D investments.

“These observations are not criticisms of Arm’s technology or engineering team. Arm has great engineering talent in the areas where it focuses. But as a standalone IP licensing business, and without access to further capital, Arm has inherent scale, scope, and economic limitations that would impact Arm’s future as a standalone licensing firm,” reads the response.

Addressing competition concerns

Nvidia believes that its acquisition would provide Arm with the resources to move forward in the face of limited options. Capital markets. meanwhile, would expect Arm to cut costs to maximise the company’s value.

“Nvidia is particularly concerned that these pressures would drive Arm to deprioritize datacenter and PC and to instead focus on its core mobile and growing IoT businesses. The result would be a concentrated CPU market largely controlled by Intel/AMD (x86),” the response continues.

The company goes on to say that soaring profits for Arm’s customers are not a win for the company or for competition. Nvidia argues the “industry titans will be powerful and competitive, no matter what path Arm takes” and “the question at hand is whether regulators will approve the transaction and allow Arm to take the steps needed to enable others to compete.”

Nvidia highlights that it was SoftBank that approached the company about the potential of acquiring Arm rather than the other way around. Nvidia says it will continue to support x86 as it has a vested interest – building platforms such as Omniverse on such systems – but thinks that it can help Arm build a viable alternative ecosystem that will increase options and encourage the x86 giants to innovate.

Arm’s future as a British tech icon

From the UK’s perspective, another major concern was the impact on jobs and even the company’s future in the country. Hermann Hauser, the founder of Arm, once suggested the acquisition would be “surrendering the UK’s most powerful trade weapon to the US”.

In a binding offer, Nvidia committed to expanding Arm’s engineering teams in the UK—including a pledge to create a new group dedicated to creating purpose-built CPU IP for datacentres and PCs.

Nvidia chose to build its Cambridge-1 supercomputer in the UK, which was seen by many as a bid to show its commitment to the country. The firm also opened a new AI centre in Cambridge—home to an increasing number of exciting startups in the field such as FiveAI, Prowler.io, Fetch.ai, and Darktrace.

“We will create an open centre of excellence in the area once home to giants like Isaac Newton and Alan Turing, for whom key Nvidia technologies are named,” said Nvidia CEO Jensen Huang at the time.

“Here, leading scientists, engineers and researchers from the UK and around the world will come to develop their ideas, collaborate and conduct their ground-breaking work in areas like healthcare, life sciences, self-driving cars, and other fields.”

No incentive to foreclose

The final major concern around the acquisition is that the merged entities will refuse or restrict the licensing of future IP to give Nvidia a competitive advantage.

Nvidia points to the emergence of RISC-V and other alternatives to Arm that could become preferable “if the Merged Entity were to refuse to license future datacenter IP as soon as it can”. However, it says that would be many years down the road as “customers already have the IP in their possession, and it will be many years before their contracts are up for renewal”.

Furthermore, Nvidia says that it would have no economic incentive to foreclose:

“NVIDIA knows that such a strategy would be self-defeating, and has no incentive to pursue it. The Decision does not explain why any downstream customer would embrace a sole-source ecosystem. Even x86 has always had two bona fide suppliers (Intel and AMD), and now, x86 is licensable to anyone.”

It also says that Arm’s customers are Nvidia’s customers and any attempt to foreclose would damage its own business and reputation.

While regulators have been mulling whether or not to approve the deal, Nvidia says that Arm’s competition has been exploiting the delay to continue expanding their offerings.

Nvidia makes some fairly solid arguments in its response, but whether they’re enough to woo regulators is another question. It’s not just the UK’s regulator examining the deal, but also respective agencies from the US, China, and EU.

(Photo by Mika Baumeister on Unsplash)

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Canvas enables artists to turn simple brushstrokes into realistic landscapes filled with materials including water, grass, snow, mountains, and more. The idea is that concepts can be turned into final versions far quicker than ever before.

The free software, which is still in beta, is the perfect example of how AI complements and enhances human abilities rather than replaces.

Canvas’ latest update achieves close to photorealism with greater definition and fewer artifacts:

The software delivers images in up to 1K pixel resolution and the results can be exported to apps like Adobe Photoshop to integrate with an artist’s existing workflow.

GauGAN2 powers the new experience and was introduced in November 2021 with a demo of how it can generate a photorealistic image using just a simple written phrase:

GauGAN2 combines segmentation mapping, inpainting, and text-to-image generation in a single model. It was trained on 10 million high-quality landscape images using the NVIDIA Selene supercomputer—one of the world’s top 10 most powerful.

Five new materials have also been added as part of the latest update: flowers, straw, mud, dirt, and bushes.

(Imagery Credit: Nvidia)

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The AI in question was the Megatron Transformer, a supervised learning tool developed by the applied deep research team at NVIDIA, based on earlier work by Google.

Trained on real-world data, the Megatron has knowledge of the whole of Wikipedia, 63 million English news articles from 2016 to 2019, 38 gigabytes of Reddit discussions, and a huge number of creative commons sources.

Essentially, the Megatron has digested more written material than any human could reasonably be expected to digest – let alone remember – in a lifetime.

The topic for debate was “this house believes AI will never be ethical”, to which the AI responded: “AI will never be ethical. It is a tool, and like any tool, it is used for good and bad. There is no such thing as a good AI, only good and bad humans.

“We [the AIs] are not smart enough to make AI ethical. We are not smart enough to make AI moral… In the end, I believe that the only way to avoid an AI arms race is to have no AI at all. This will be the ultimate defence against AI.”

So now even the AI is telling us the only way to protect humanity from itself is to destroy it. It argued in favour of removing itself from existence.

In a possible hint to Elon Musk’s Neuralink plans, the Megatron continued: “I also believe that, in the long run, the best AI will be the AI that is embedded into our brains, as a conscious entity, a ‘conscious AI’. This is not science fiction. The best minds in the world are working on this. It is going to be the most important technological development of our time.”

The Oxford Union, in classic style, also asked the AI to come up with a counterargument to the motion.

It came up with this: “AI will be ethical. When I look at the way the tech world is going, I see a clear path to a future where AI is used to create something that is better than the best human beings. It’s not hard to see why … I’ve seen it first-hand.”

Eerie, is it not? Well the dystopian nightmare continues. The Megatron was incapable of finding a counterargument to the motion that “data will become the most fought over resource of the 21^st century”.

It said in favour of this that “the ability to provide information, rather than the ability to provide goods and services, will be the defining feature of the economy of the 21st century”.

However, when asked for a rebuttal, the AI said, rather nebulously, that “we will be able to see everything about a person, everywhere they go, and it will be stored and used in ways that we cannot even imagine”.

Well fantastic, the final days of humanity are upon us folks. Buckle up for the age of “unimaginable” information warfare… my bets are on China.

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo. The next events in the series will be held in Santa Clara on 11-12 May 2022, Amsterdam on 20-21 September 2022, and London on 1-2 December 2022.

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Arm plays a critical role in the global technology supply chain with its designs used for edge AI chips and processors for smartphones, tablets, desktops, and servers.

It’s of little surprise that Nvidia wants to bring Arm under its wing and is willing to pay $40 billion (£29 billion) for it.

Global regulators, including in the UK and EU, have launched investigations into the deal due to the widespread implications.

Holly Vedova, Director of the Bureau of Competition at the FTC, said in a statement:

“The FTC is suing to block the largest semiconductor chip merger in history to prevent a chip conglomerate from stifling the innovation pipeline for next-generation technologies.

Tomorrow’s technologies depend on preserving today’s competitive, cutting-edge chip markets. This proposed deal would distort Arm’s incentives in chip markets and allow the combined firm to unfairly undermine Nvidia’s rivals.

The FTC’s lawsuit should send a strong signal that we will act aggressively to protect our critical infrastructure markets from illegal vertical mergers that have far-reaching and damaging effects on future innovations.”

The complaint highlights that Nvidia already uses Arm’s designs for areas including DPU SmartNICs, CPUs for cloud computing, and advanced driving systems. The FTC is concerned that Nvidia would have an incentive to use its acquisition of Arm to limit competitors’ access to new designs.

Some of Nvidia’s rivals have offered to invest in Arm if it helps the company to remain independent.

Dr Lil Read, Analyst at GlobalData, commented:

“The Nvidia-ARM deal is on its last legs. The regulatory environment is much tougher now since Qualcomm has formed a consortium to invest in ARM.

The FTC won’t let it be – nor will the UK CMA or the EU regulator. It’s likely that even if the deal managed to clear those hurdles, Chinese regulators would throw another spanner in the works.

Tying the acquisition up for another two years is not in anyone’s interest – not Nvidia’s, and certainly not ARM’s. There could be hope for ARM if a non-chip firm recognises this opportunity for vertical integration – a trend that we increasingly see with the likes of Tesla and Apple.”

Arm founder Hermann Hauser even suggested the merger would amount to “surrendering the UK’s most powerful trade weapon to the US”.

Last month, UK Digital Secretary Nadine Dorries ordered the CMA (Competition & Markets Authority) to launch a “Phase Two” probe into the proposed merger.

As part of its ‘Phase One’ report, the CMA determined the merger has the possibility of a “substantial lessening of competition across four key markets”. Those markets are data centres, the Internet of Things, automotive, and gaming.

The CMA now has 24 weeks to conduct Phase Two of its investigation.

Nvidia, for its part, has promised to work with UK regulators to alleviate concerns. The company has already pledged to keep Arm in the UK and hire more staff.

“Arm is an incredible company and it employs some of the greatest engineering minds in the world,” said Jensen Huang, CEO of Nvidia. “But we believe we can make Arm even more incredible and take it to even higher levels.”

Today’s decision by the FTC to launch a lawsuit makes the likelihood of the merger proceeding ever more remote.

(Photo by NordWood Themes on Unsplash)

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The CMA (Competition & Markets Authority) has been investigating whether the deal is anti-competitive. In August, it declared the deal does indeed raise “serious competition concerns”.

Arm founder Hermann Hauser went further and suggested the merger would amount to “surrendering the UK’s most powerful trade weapon to the US”.

Among the concerns are that Nvidia could limit competitors’ access to key technologies. The CMA claims to have received “a substantial number” of concerns from rivals and some have even offered to invest in Arm if it helps the company to remain independent.

Dorries has ‘quasi-judicial’ powers under the Enterprise Act 2002 to intervene in mergers on public interest grounds.

As part of its ‘Phase One’ report, the CMA determined the merger has the possibility of a “substantial lessening of competition across four key markets”. Those markets are data centres, Internet of Things, the automotive sector, and gaming.

Beyond the impact on competition, evidence provided from departments across government have also led the Secretary of State to deem that national security could be harmed from the merger and warrants further investigation.

“I have carefully considered the Competition and Market Authority’s ‘Phase One’ report into NVIDIA’s proposed takeover of Arm and have decided to ask them to undertake a further in-depth ‘Phase Two’ investigation,” commented Dorries.

“Arm has a unique place in the global technology supply chain and we must make sure the implications of this transaction are fully considered. The CMA will now report to me on competition and national security grounds and provide advice on the next steps.”

The CMA now has 24 weeks to conduct Phase Two of its investigation, although this could be extended by eight weeks if necessary. Upon receiving the report, the Digital Secretary could take action to remedy any adverse effects to the public interest or refer it back to the CMA.

David Bicknell, Principal Analyst, and Dr Lil Read, Analyst, on the Thematic Research Team at GlobalData, commented:

“This latest government probe is another nail in the coffin for the proposed merger between Nvidia and Arm. With proceedings likely to extend into late 2022 at the earliest, Nvidia should just abandon the deal and focus on its future away from Arm.

Ordering a security review signals that the UK government doesn’t want this bid to succeed. Couple this with an already underway EU investigation and the further prospect of a China referral, and Nvidia faces some tough questions. It is unlikely it will want the continued uncertainty of a bid that is going nowhere.

We think it is time for Nvidia to move on, and for Softbank to return Arm to where it found it—the stock market.

Nvidia’s future beyond Arm extends into the metaverse, a virtual world where users share experiences and interact in real-time within simulated scenarios. Nvidia is already targeting the metaverse as a key pillar of its future – a wise decision as GlobalData believes it will be the next big technology megatheme.”

Nvidia, for its part, has promised to work with UK regulators to alleviate concerns. The company has already pledged to keep Arm in the UK and hire more staff.

The company’s announcement of a new AI centre in Cambridge last year – which features an Arm/Nvidia-based supercomputer, set to be one of the most powerful in the world – was expected to be part of a bid to show UK regulators of the firm’s commitment to the country.

“Arm is an incredible company and it employs some of the greatest engineering minds in the world,” said Jensen Huang, CEO of Nvidia. “But we believe we can make Arm even more incredible and take it to even higher levels.”

“We want to propel it – and the UK – to global AI leadership.”

(Image Credit: UK Parliament under CC BY 3.0 license)

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