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Nvidia Corp, facing more investor scepticism, used its latest quarterly report to tout progress in diversifying the company, which aims to rely less on the giant data center operators that have fueled its runaway growth.Though spending has continued to surge from large data center clients — a group known as hyperscalers — Nvidia predicted that a vast array of other businesses and governments would soon become a bigger source of revenue. They’re poised to snap up Nvidia’s chips and other computing products to support their own artificial intelligence ambitions.Down the road, so-called physical AI will bring a colossal new opportunity in the form of robots and automated vehicles, Chief Executive Officer Jensen Huang said on a conference call with analysts. “We’ve got it all covered,” he said.But investors have become harder to impress. Even after the company beat analysts’ estimates with its results and forecast, the shares were little changed after markets opened in New York on Thursday. Shareholders weren’t swayed by an expansion of investor rewards, including a massive increase to the company’s dividend.Sales in the three months ending in July will be about $91bn, the company said in its quarterly report. That topped the average estimate of $87bn, though analysts’ projections ranged as high as $96bn, according to data compiled by Bloomberg.At the same time, the company is facing the first major challenges to its dominance in AI computing, with a variety of chipmakers trying to carve out a piece of the business. And major buyers of Nvidia’s technology are developing their own in-house components.Nvidia shares had gained 20% this year heading into the report. That increase outpaced the S&P 500 but trailed most major chip peers.Nvidia is the top seller of AI accelerators, chips used to develop artificial intelligence models. But it faces growing competition from across Silicon Valley. Advanced Micro Devices Inc has rival processors, and Broadcom Inc and Alphabet Inc’s Google are attacking the market with their own technology.Nvidia remains in an enviable position, with Wall Street predicting that the company’s revenue will account for more than a third of the entire semiconductor sector’s sales this year.“The build-out of AI factories — the largest infrastructure expansion in human history — is accelerating at extraordinary speed,” Huang said in a statement.Data center spending, which is the main source of Nvidia’s revenue, hasn’t shown signs of letting up. Hyperscalers plan to shell out a combined total of roughly $725bn on AI this year. And based on Nvidia’s latest results, revenue from those companies continues to outpace other sources.That hasn’t just buoyed sales of accelerators. General-purpose CPUs, or central processing units, also are in greater demand. That’s lifted results for Intel Corp. and AMD. Chip upstarts are getting a boost as well: Cerebras Systems Inc, which offers a novel product based on large pieces of silicon, had the year’s biggest initial public offering last week.Santa Clara, California-based Nvidia doesn’t just sell accelerators. It offers a range of chips, as well as networking, software, AI models and even complete computer systems. That helps make its reach and capabilities unassailable, Nvidia management has argued. The company has said it has more orders than it can fill and is investing to add supply to meet that demand.In the three months ended April 26, Nvidia’s sales gained 85% to $81.6bn. Analysts had estimated $79.2bn on average. Profit, minus certain items, climbed to $1.87 a share. That beat a projection of $1.77. Adjusted gross margin, the percentage of revenue remaining after deducting costs of production, was 75%.Nvidia boosted its quarterly dividend to 25 cents a share from a penny. And the chipmaker announced $80bn in stock repurchases.Nvidia’s all-important data center unit generated revenue of $75.2bn, compared with an estimate of $73.5bn. Networking, part of the data center division, delivered $14.8bn in sales, versus an estimate of $12.7bn.As part of its report, Nvidia said it was transitioning to a new framework that would better reflect “its current and future growth drivers.” Its data centre sales figures will now separate hyperscalers from a group it calls ACIE, for AI clouds, industrial and enterprise customers.The company is on course to record total revenue of more than $370bn this year, according to estimates. By that measure, it will be roughly 22 times the size it was in fiscal 2021. Nvidia easily chalks up more sales in a quarter than its next three largest rivals combined.Huang has just returned from a trip with President Donald Trump to China, the largest market for semiconductors overall. US export rules have stymied Nvidia’s growth in that country by restricting sales of AI accelerators on national security grounds.The Trump administration has begun allowing older Nvidia products to be sold to Chinese customers. But Beijing, trying to cultivate local suppliers, has resisted that initiative. That’s left Nvidia mostly locked out of a market that it has said could generate $50bn a year. 

The Qatar Investment Authority (QIA), the country's sovereign wealth fund, has invested in d-Matrix, a pioneer in generative AI (artificial intelligence) inference for data centres.Valued at $2bn and bringing the total raised to date to $450mn, d-Matrix will use the new capital to advance their roadmap, accelerate global expansion and support multiple large-scale deployments of the world’s highest performing, most efficient data centre inference platform for hyperscalers, enterprise, and sovereign customers.The oversubscribed round attracted leading investment firms across Europe, North America, Asia, and the Middle East. The funding was co-led by a global consortium including BullhoundCapital, Triatomic Capital, and Temasek, and welcomed new investors including QIA and EDBI, alongside follow-on participation from M12, Microsoft’s Venture Fund, as well as Mirae Asset, Industry Ventures, and Nautilus Venture Partners.d-Matrix's full-stack inference platform combines breakthrough compute-memory integration, high-speed networking, and inference-optimised software to deliver 10× faster performance, 3× lower cost, and 3–5× better energy efficiency than GPU-based systems.This step-change in performance and efficiency directly addresses growing AI sustainability challenges. By enabling one data centre to handle the workload of ten, d-Matrix offers a clear path to reducing global data centre energy consumption while enabling enterprises to deliver cost-efficient, profitable AI services without compromise.“From day one, d-Matrix has been uniquely focused on inference. When we started d-Matrix six years ago, training was seen as AI’s biggest challenge, but we knew that a new set of challenges would be coming soon,” said Sid Sheth, chief executive officer and co-founder of d-Matrix.“We predicted that when trained models needed to run continuously at scale, the infrastructure wouldn't be ready. We've spent the last six years building the solution: a fundamentally new architecture that enables AI to operate everywhere, all the time. This funding validates that vision as the industry enters the Age of AI Inference,” he added.Investor confidence reflects d-Matrix’s differentiated technology, rapid customer growth, and expanding network of global partners — including the recently announced d-Matrix SquadRack open standards-based reference architecture with Arista, Broadcom, and Supermicro.A strong product roadmap featuring 3D memory-stacking innovations and a customer-centric go-to-market strategy further establishes d-Matrix as a cornerstone of the new AI infrastructure stack.