Development

Nvidia unveils cheaper AI chip for China

Nvidia is preparing to launch a lower-cost AI chip for China that complies with US export restrictions, with mass production expected to begin as early as June.

The upcoming GPU will be based on the latest Blackwell architecture but will carry reduced specifications compared to the recently restricted H20 model. It is expected to sell for $6,500 to $8,000, significantly cheaper than the $10,000–$12,000 H20, reflecting its simpler design and less advanced components.

Sources say the new chip, likely named either the 6000D or B40, will use GDDR7 memory instead of high-bandwidth memory and will avoid Taiwan Semiconductor Manufacturing Co’s CoWoS packaging technology.

Nvidia had initially planned to downgrade the H20, but tighter US rules made that unviable. Instead of relying on its older Hopper architecture, the company is shifting to Blackwell for future developments in China.

Nvidia has been forced to adapt repeatedly due to tightening US export restrictions aimed at slowing China’s technological progress. Its market share in China has dropped from 95% before 2022 to around 50% today, as competitors like Huawei gain ground with chips like the Ascend 910B.

CEO Jensen Huang noted that continuing restrictions could further drive Chinese firms towards domestic alternatives, cutting Nvidia off from more of the $50 billion data centre market.

Huang also revealed that US curbs have forced Nvidia to write off $5.5 billion in inventory and abandon $15 billion in potential sales. New limits now target GPU memory bandwidth, a key factor for AI performance, capping it at around 1.8 terabytes per second.

The upcoming chip is expected to remain just within this limit, allowing Nvidia to retain a foothold in China instead of exiting the market entirely.

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NotebookLM Improves User Experience With Streamed Answers

Google has updated its AI research assistant, NotebookLM, to display AI responses in real time rather than all at once. This change reduces perceived waiting time by 30 to 40%, according to Simon Tokumine, the product’s lead.

The update follows the tool’s move to using more advanced ‘thinking’ models, which, while more capable, can take longer to generate responses.

NotebookLM, which recently launched mobile apps for iOS and Android, was previously limited to the web. However, the mobile apps currently lack features like Mind Maps and content generation. Still, the new response streaming feature marks a meaningful improvement in user experience.

Additional announcements at Google I/O 2025 include more control over Audio Overviews, allowing users to select shorter or longer summaries based on their preferences. Google also confirmed that Video Overviews are in development, following the positive reception of the audio feature.

While many of these updates are incremental, they reflect Google’s continued investment in refining NotebookLM as a practical, AI-powered research assistant.

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Cyber scams use a three-letter trap

Staying safe from cybercriminals can be surprisingly simple. While AI-powered scams grow more realistic, some signs are still painfully obvious.

If you spot the letters ‘.TOP’ in any message link, it’s best to stop reading and hit delete. That single clue is often enough to expose a scam in progress.

Most malicious texts pose as alerts about road tolls, deliveries or account issues, using trusted brand names to lure victims into clicking fake links.

The worst of these is the ‘.TOP’ top-level domain (TLD), which has become infamous for its role in phishing and scam operations. Although launched in 2014 for premium business use, its low cost and lack of oversight quickly made it a favourite among cyber gangs, especially those based in China.

Today, nearly one-third of all .TOP domains are linked to cybercrime — far surpassing the criminal activity seen on mainstream domains like ‘.com’.

Despite repeated warnings and an unresolved compliance notice from internet regulator ICANN, abuse linked to .TOP has only worsened.

Experts warn that it is highly unlikely any legitimate Western organisation would ever use a .TOP domain. If one appears in your messages, the safest option is to delete it without clicking.

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Secret passwords could fight deepfake scams

As AI-generated images grow increasingly lifelike, a cyber security expert has warned that families should create secret passwords to guard against deepfake scams.

Cody Barrow, chief executive of EclecticIQ and a former US government adviser, says AI is making it far easier for criminals to impersonate others using fabricated videos or images.

Mr Barrow and his wife now use a private code to confirm each other’s identity if either receives a suspicious message or video.

He believes this precaution, simple enough for anyone regardless of age or digital skills, could soon become essential. ‘It may sound dramatic here in May 2025,’ he said, ‘but I’m quite confident that in a few years, if not months, people will say: I should have done that.’

The warning comes the same week Google launched Veo 3, its AI video generator capable of producing hyper-realistic footage and lifelike dialogue. Its public release has raised concerns about how easily deepfakes could be misused for scams or manipulation.

Meanwhile, President Trump signed the ‘Take It Down Act’ into law, making the creation of deepfake pornography a criminal offence. The bipartisan measure will see prison terms for anyone producing or uploading such content, with First Lady Melania Trump stating it will ‘prioritise people over politics’

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Authorities strike down cybercriminal servers

Authorities across Europe, North America and the UK have dismantled a major global malware network by taking down over 300 servers and seizing millions in cryptocurrency. The operation, led by Eurojust, marks a significant phase of the ongoing Operation Endgame.

Law enforcement agencies from Germany, France, the Netherlands, Denmark, the UK, the US and Canada collaborated to target some of the world’s most dangerous malware variants and the cybercriminals responsible for them.

The takedown also resulted in international arrest warrants for 20 suspects and the identification of more than 36 individuals involved.

The latest move follows similar action in May 2024, which had been the largest coordinated effort against botnets. Since the start of the operation, over €21 million has been seized, including €3.5 million in cryptocurrency.

The malware disrupted in this crackdown, known as ‘initial access malware’, is used to gain a foothold in victims’ systems before further attacks like ransomware are launched.

Authorities have warned that Operation Endgame will continue, with further actions announced through the coalition’s website. Eighteen prime suspects will be added to the EU Most Wanted list.

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Oracle and OpenAI target AI leadership with massive chip project

Oracle has reportedly acquired around 400,000 Nvidia GB200 AI chips valued at approximately $40 billion for deployment at a data centre in Abilene, Texas.

The location will be the first site of the Stargate project—a $500 billion AI infrastructure initiative backed by OpenAI, Oracle, SoftBank, and Abu Dhabi’s MGX fund, which President Trump announced earlier this year.

Once completed, the Abilene facility is expected to provide up to 1.2 gigawatts of computing power, rivalling Elon Musk’s Colossus project in Memphis.

Although Oracle will operate from the site, the land is owned by AI infrastructure firm Cruso and US investment company Blue Owl Capital, which have collectively invested more than $15 billion through financing.

Oracle will lease the campus for 15 years, using the chips to offer computing power to OpenAI for training its next-generation AI models.

Previously dependent solely on Microsoft’s data centres, OpenAI faced bottlenecks due to limited capacity, prompting it to end the exclusivity agreement and look elsewhere.

While individual investors have committed funds, the Stargate project has not officially financed any facility yet. In parallel, OpenAI has announced Stargate UAE—a 5-gigawatt site in Abu Dhabi using over 2 million Nvidia chips, built in partnership with G42.

A surging demand for AI infrastructure has significantly boosted Nvidia’s market value, with the company reclaiming its top global ranking in late 2024.

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Quandela presents Belenos, a powerful 12-qubit quantum computer

French quantum computing startup Quandela has unveiled Belenos, a 12-qubit photonic quantum computer that it claims delivers 4,000 times more computing power than its predecessor.

The first integrated version is set to be delivered to EuroHPC/GENCI and operated at the CEA’s Très Grand Centre de Calcul (TGCC) before the end of 2025.

Currently, Belenos is accessible via the cloud to over 1,200 researchers across 30 countries in Europe, North America, and Asia.

Instead of relying solely on local deployments, this cloud availability enables researchers to explore hybrid HPC-quantum use cases in fields such as structural mechanics, meteorology, and materials science.

Quandela has ambitious plans to double the qubit count by 2026 with the launch of Canopus. Within three years, the company aims to develop a photonic quantum computer with more than 40 qubits, continuing its focus on systems that avoid cryogenic cooling by using photonics-based methods instead.

‘Our cloud-accessible Belenos system lets partners work on tasks where computing speed and operations per data point are crucial — areas where competitors fall short,’ said co-founder and CEO Niccolo Somaschi.

The platform is designed for practical applications in machine learning and at the AI-quantum interface, which Quandela views as strategically vital sectors for the future.

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Nvidia recovers as DeepSeek fears fade

Earlier this year, Nvidia shares declined following concerns over DeepSeek and the possibility that tech giants might reduce AI-related spending. Worries over export restrictions added to investor unease.

However, Wedbush Securities’ managing director Matt Bryson believes the DeepSeek issue is now firmly behind the company. According to Bryson, DeepSeek — mostly a China-based phenomenon — unexpectedly boosted demand for AI servers, which ultimately benefited Nvidia instead of hurting it.

Another key development is Oracle’s plan to spend around $40 billion on Nvidia’s GB200 chips to power OpenAI’s new data centre.

Bryson suggested this is part of a broader trend among hyperscalers like Oracle and Crusoe, which recently secured funding to build new facilities. He expects this spending to appear in Nvidia’s earnings as early as Q2 or Q3, instead of being delayed until the next chip generation, the GB300.

Looking ahead, investors remain focused on whether major tech firms will sustain their AI investment. Bryson pointed out that recent earnings reports from companies like Microsoft, Alphabet, and Meta show they remain committed to high capital expenditures.

Instead of retreating, Big Tech appears set to continue driving demand for AI infrastructure, which supports Nvidia’s long-term prospects.

Bryson also noted a significant new factor in AI growth: sovereign deals from countries such as Saudi Arabia and the UAE. He emphasised that the UAE’s expected chip purchases may even surpass Oracle’s.

The new demand, combined with increasing investments in AI-powered edge products — such as those hinted at by OpenAI’s collaboration with Jony Ive — signals that AI spending beyond 2025 will remain strong instead of slowing.

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Gemini AI powers Aloha 2 robotic demo at Google I/O

At its recent I/O developer conference, Google demonstrated its Gemini AI controlling Aloha 2 robot arms in an interactive exhibit.

The robots were part of the company’s AI Sandbox and offered attendees the chance to interact with the system using voice instructions.

Each setup included a pair of Aloha 2 arms, along with cameras and microphones to process input. The Aloha 2 system, used for teleoperation and data collection, is considered relatively affordable in the robotics field, though a full tabletop setup still costs over $30,000.

The demonstration highlighted Google’s continued push to integrate generative AI into physical systems, combining machine learning with real-world applications.

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Pakistan aims to become global crypto and AI leader

Pakistan has set aside 2,000 megawatts of electricity in a major push to power Bitcoin mining and AI data centres, marking the start of a wider national digital strategy.

Led by the Pakistan Crypto Council (PCC), a body under the Ministry of Finance, this initiative aims to monetise surplus energy instead of wasting it, while attracting foreign investment, creating jobs, and generating much-needed revenue.

Bilal Bin Saqib, CEO of the PCC, stated that with proper regulation and transparency, Pakistan can transform into a global powerhouse for crypto and AI.

By redirecting underused power capacity, particularly from plants operating below potential, Pakistan seeks to convert a longstanding liability into a high-value asset, earning foreign currency through digital services and even storing Bitcoin in a national wallet.

Global firms have already shown interest, following recent visits from international miners and data centre operators.

Pakistan’s location — bridging Asia, the Middle East, and Europe — coupled with low energy costs and ample land, positions it as a competitive alternative to regional tech hubs like India and Singapore.

The arrival of the Africa-2 subsea cable has further boosted digital connectivity and resilience, strengthening the case for domestic AI infrastructure.

It is just the beginning of a multi-stage rollout. Plans include using renewable energy sources like wind, solar, and hydropower, while tax incentives and strategic partnerships are expected to follow.

With over 40 million crypto users and increasing digital literacy, Pakistan aims to emerge not just as a destination for digital infrastructure but as a sovereign leader in Web3, AI, and blockchain innovation.

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