The data centre and AI cloud firm expects most of its revenue to come from overseas customers as it scales GPU cloud capacity and AI infrastructure services
China is back on top of the supercomputer race. Its new system, LineShine, has overtaken the US' fastest supercomputer despite years of American chip restrictions.
AI investment is accelerating across industries, but enterprises are increasingly focused on measuring returns, scaling deployments, adopting agentic AI, and reshaping workforces
The AI SaaS startup plans to expand its enterprise customer base in India while exploring opportunities in Southeast Asia and the MENA region
Apple's most advanced AI features are no longer powered solely by Apple infrastructure. As Google and Nvidia enter the stack, questions around privacy may surface
Nvidia and its partners, which also included SK Telecom and conglomerate Doosan Group, did not disclose the value of the deals
Google's $920-million-a-month SpaceX agreement shows how AI compute is turning into a scarce, rent-generating infrastructure asset
AI agents are prompting technology companies to redesign chips, operating systems and search for a future where software increasingly acts on behalf of users rather than waiting for commands
Nvidia CEO Jensen Huang has highlighted the growing importance of connectivity in powering next-generation artificial intelligence infrastructure as he joined Marvell chief Matt Murphy on stage at Computex 2026 and described the semiconductor company as a potential "trillion-dollar company". "The next trillion-dollar company, ladies and gentlemen," said Jensen Huang, as soon as he arrived on the stage, drawing applause from the audience on Tuesday. Marvell stocks soared over 30 per cent after the Nvidia chief's announcement, according to various media reports. Earlier this year, Nvidia announced USD 2 billion investment in Marvell Technology to deepen their strategic partnership. Huang on Tuesday highlighted the importance of connectivity in enabling AI infrastructure, with Marvell's technology playing a crucial role in scaling and interconnecting data centres. "Useful AI has arrived. It's the reason why your demand is going through the roof. It's the reason why my demand is going
Nvidia's Vera CPU is built to run AI systems that can execute tasks at scale, enabling faster, more autonomous software across cloud platforms and enterprise infrastructure
From South Korea to Taiwan, the prime beneficiaries of the global artificial intelligence rollout are coming under growing pressure to share more of their profits
Two of the institutions that have expressed interest in the H200 chips- Beihang University and Northwestern Polytechnical University- rank among China's 'Seven Sons of National Defence'
The Nvidia RTX Spark superchip combines its Grace CPU, Blackwell RTX GPU, and up to 128GB unified memory, targeting developers, creators and gamers
Now a dominant player in data centers, Nvidia is taking another run at the personal computer processor market after being part of an effort that fizzled out more than a decade ago
Apple may reportedly combine on-device AI with Google Cloud and Nvidia compute technology to power future Apple Intelligence features and advanced Siri requests
Huang was speaking at a launch celebration in Taipei for the chip company's planned Taiwan headquarters, which he said will break ground this year and aims to become operational in 2030
Taiwan has become the world's fifth-largest stock market while South Korea narrows the gap with India amid a global rally in AI-linked technology stocks
Nvidia highlighted diversification beyond hyperscalers as it posted soaring profits amid rising AI chip competition
Artificial intelligence chipmaker Nvidia's quarterly results surpassed Wall Street's expectations once again, fuelled by massive demand for its high-end AI chips. The company said Wednesday it earned USD 58.32 billion, or USD 2.39 per share, in the February-April period, up from USD 18.78 billion, or 76 cents per share, in the same period a year earlier. Excluding one-time items, Nvidia earned USD 1.76 per share. Revenue jumped 85 per cent to USD 81.62 billion from USD 44.01 billion. Analysts, on average, were expecting earnings of USD 1.75 per share and revenue of USD 78.91 billion, according to a poll by FactSet. Nvidia's results have exceeded the analyst projections that shape investors' perceptions since Nvidia's high-end chips emerged as AI's best building blocks three years ago. "The buildout of AI factories - the largest infrastructure expansion in human history - is accelerating at extraordinary speed," said CEO Jensen Huang in a statement. For the current quarter, Nvidia
The transactions, spelled out in documents filed with the US Office of Government Ethics that encompass more than 100 pages, list purchases and sales in broad ranges