Investors bet on Nvidia share recovery with buying of leveraged ETFs
Short-term traders are proving eager to bet on a rapid recovery in Nvidia, pouring money into the three largest leveraged exchange-traded funds which are linked to gains in the share price of the AI chipmaking giant.
Speculators and traders flocked to buy leveraged funds which aim to deliver double the daily return in Nvidia, asset managers said on Tuesday. The company's stock suffered the biggest one-day fall in market capitalization in history on Monday in response to news that China's DeepSeek launched a new artificial intelligence model.
"We had about $1 billion of inflows into our long product," said Will Rhind, founder and CEO of GraniteShares, referring to the largest of these funds, the GraniteShares 2x Long NVDA Daily ETF. That wasn't enough to offset the impact of Nvidia's massive selloff on its assets, which shrank to about $4.3 billion from a high north of $6 billion last year.
Each of the four Nvidia leveraged long ETFs ended Monday with losses of between 33% and 34%, according to LSEG data.
The T-Rex 2x Long Nvidia Daily Target ETF saw inflows of $7.6 million into the $488.4 million fund on Monday, according to Scott Acheychek, the chief operating officer of REX Financial, one of the two firms that created the fund. Its much smaller bearish ETF, which delivers a gain equivalent to any loss in Nvidia's stock price, saw $3.1 million in outflows, the firm said.
The Direxion Daily NVDA Bull 2x Shares ETF, which has about $435 million in assets, had $61.4 million in inflows, the firm said. Its corresponding inverse fund also had inflows, of about $3 million.
The smallest of the four leveraged Nvidia ETFs, the $3 million Leverage Shares 2x Long NVDA Daily ETF, couldn't immediately provide details of flows into its fund on Monday in dollar terms. But Paul Marino, chief revenue officer of Themes ETFs, which oversees the U.S. business of Leverage Shares, said trading volume was six times average.
"That shows you how many speculative traders are involved in Nvidia," Marino said. By the end of the day on Monday, he said flows had turned positive and remained so throughout the day on Tuesday.
(Reporting by Suzanne McGee; Editing by Megan Davies and Lincoln Feast.)
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Arabian Post
7 hours ago
- Arabian Post
Modular Cooling Leap Meets AI's Soaring Heat Challenge
LiquidStack has introduced the GigaModular Coolant Distribution Unit, its most advanced liquid‑cooling solution yet, engineered to deliver up to 10 megawatts of scalable, direct‑to‑chip cooling. The debut of this system at the Datacloud Global Congress in Cannes, France, signals a pivotal advance in thermal infrastructure necessary for high‑density AI and cloud‑computing workloads. As data centre rack densities climb past 120 kW and approach projections of 600 kW by 2027, conventional air‑cooled systems are nearing their operational ceiling. GigaModular's design offers operators a 'pay‑as‑you‑grow' modular platform that begins at 2.5 MW and expands seamlessly to 10 MW. Its flexibility allows deployment in N, N+1 or N+2 redundancy modes, ensuring robustness and future‑proof scaling. LiquidStack CEO Joe Capes emphasised the imperative, stating: 'AI will keep pushing thermal output to new extremes, and data centres need cooling systems that can be easily deployed, managed and scaled to match heat rejection demands as they rise… we designed it to be the only CDU our customers will ever need'. At the heart of the system are high‑efficiency IE5‑rated pumps and dual BPHx heat exchangers, integrated with instrumentation kits for centralised tracking of pressure, temperature and flow. ADVERTISEMENT The modularity is further enhanced by a centralised control module separated from the pump module—an architectural choice aimed at reducing system complexity and reliability risks. Maintenance is simplified as well; the CDU is serviceable from the front, enabling placement flush against walls without sacrificing accessibility. Available in both skid‑mounted units with pre‑installed rail and overhead piping, or as separate cabinets for on‑site integration, the system accommodates diverse deployment strategies. LiquidStack intends to begin quoting the GigaModular CDU by September 2025, with production at its Carrollton, Texas facility. Industry analysts emphasise the significance of fully scalable, direct‑to‑chip liquid cooling in meeting AI infrastructure demands. RCR Wireless News highlights the solution's ability to 'future‑proof data centre thermal strategy' amid the transition to powerful GPUs such as Nvidia's upcoming B300 and GB300 lines. Similarly, Facilities Dive reports that the system potentially offers 25 per cent reductions in capital expenditures and floor space compared with traditional CDU arrangements, while operating in ambient temperatures up to 122 °F. In recent major deployments, tech giants like Microsoft, Amazon and Meta have outlined plans for gigawatt‑scale data‑centre campuses fuelled by ultra‑dense racks drawing over 1 MW apiece. As server rack densities accelerate, cooling infrastructure must not only follow but anticipate demand. LiquidStack's GigaModular CDU addresses that by enabling modular real‑time expansion rather than upfront oversizing, a shift that can significantly reduce both capital and operational costs. LiquidStack also continues to diversify its cooling offerings. Alongside single‑phase direct‑to‑chip solutions, the firm supports two‑phase immersion systems tailored for extreme‑density environments and retrofits. These complement its established MacroModular, MicroModular and DataTank offerings, all of which have been deployed for hyperscale, edge and co‑location environments. ADVERTISEMENT The global demand for liquid‑cooling data‑centre infrastructure is projected to grow from approximately $5.17 billion in 2025 to $15.75 billion by 2030. This expansion is driven by the thermal output of AI workloads, energy‑efficiency regulations, and the push for sustainable, water‑efficient operations. Liquid‑cooling offers far higher thermal transfer efficiency than air cooling, dramatically reducing power usage effectiveness and embodied environmental cost. While the GigaModular marks a significant technical milestone, its commercial rollout will be decisive. Lessons from other capital‑intensive systems suggest that long procurement cycles, site readiness, and integration challenges may slow adoption. LiquidStack's provision of pre‑configured skids aims to mitigate such integration hurdles, and its September 2025 quoting timeline aligns with projected first shipments however, it remains to be seen how quickly hyperscalers and data‑centre operators can adopt the system at scale. Several broader industry trends support strong uptake potential. Nvidia has forecast that rack power densities would reach 600 kW by 2027, while data‑centre developers are aggressively expanding capacity in response to AI‑compute demand. As sustainability pressure mounts, liquid‑cooling solutions gain favour since they drastically cut cooling‑related energy consumption and can facilitate heat reuse in co‑generation setups. Risks remain—some operators may hesitate over the upfront investment, and supply‑chain constraints for pump modules or specialised control systems could affect delivery timelines. However, the pay‑as‑you‑grow modular model and forward‑thinking design appear to position LiquidStack favourably within evolving market dynamics. The GigaModular also contributes to a renewed focus on automation and real‑time telemetry in data‑centre thermal management. Centralised instrumentation provides operators data‑driven insights, while scalable pump architectures decouple deployment capacity from physical footprint constraints—critical in dense, high‑performance computing environments. LiquidStack's latest manufacturing footprint expansion in Texas underscores its plan to scale production. The company had earlier announced a second manufacturing facility there in March 2025, to support its growing direct‑to‑chip and immersion‑cooling roadmap. In effect, LiquidStack is framing this launch not merely as a new cooling unit but as a strategic pivot in liquid‑cooling architecture: one that is standardised, modular and adaptable at hyperscale. As AI‑driven compute demand accelerates beyond petaflops toward exascale, liquid‑cooling infrastructure must evolve in tandem.


Khaleej Times
9 hours ago
- Khaleej Times
Apple under pressure to shine after stumbling on AI efforts
Pressure is on Apple to show it hasn't lost its magic despite broken promises to ramp up iPhones with generative artificial intelligence (GenAI) as rivals race ahead with the technology. Apple will showcase plans for its coveted devices and the software powering them at its annual Worldwide Developers Conference (WWDC) kicking off on Monday in Silicon Valley. The event comes a year after the tech titan said a suite of AI features it dubbed "Apple Intelligence" was heading for iPhones, including an improvement of its much criticised Siri voice assistant. "Apple advertised a lot of features as if they were going to be available, and it just didn't happen," noted Emarketer senior analyst Gadjo Sevilla. Instead, Apple delayed the rollout of the Siri upgrade, with hopes that it will be available in time for the next iPhone release, expected in the fall. "I don't think there is going to be that much of a celebratory tone at WWDC," the analyst told AFP. "It could be more of a way for Apple to recover some credibility by showing where they're headed." Industry insiders will be watching to see whether Apple addresses the AI stumble or focuses on less splashy announcements, including a rumored overhaul of its operating systems for its line of devices. "The bottom line is Apple seemed to underestimate the AI shift, then over-promised features, and is now racing to catch up," Gene Munster and Brian Baker of Deepwater Asset Management wrote in a WWDC preview note. Rumors also include talk that Apple may add GenAI partnerships with Google or Perplexity to an OpenAI alliance announced a year ago. 'Double black eye' Infusing its lineup with AI is only one of Apple's challenges. Developers, who build apps and tools to run on the company's products, may be keen for Apple to loosen its tight control of access to iPhones. "There's still a lot of strife between Apple and developers," Sevilla said. "Taking 30 percent commissions from them and then failing to deliver on promises for new functionality—that's a double black eye." A lawsuit by Fortnite maker Epic Games ended with Apple being ordered to allow outside payment systems to be used at the US App Store, but developers may want more, according to the analyst. "Apple does need to give an olive branch to the developer community, which has been long-suffering," Sevilla said. "They can't seem to thrive within the restrictive guardrails that Apple has been putting up for decades now." As AI is incorporated into Apple software, the company may need to give developers more ability to sync apps to the platform, according to Creative Strategies analyst Carolina Milanesi. "Maybe with AI it's the first time that Apple needs to rethink the open versus closed ecosystem," Milanesi said. Apple on defensive Adding to the WWDC buildup is that the legendary designer behind the iPhone, Jony Ive, has joined with ChatGPT maker OpenAI to create a potential rival device for engaging with AI. "It puts Apple on the defensive because the key designer for your most popular product is saying there is something better than the iPhone," Sevilla said. While WWDC has typically been a software-focused event, Apple might unveil new hardware to show it is still innovating, the analyst speculated. And while unlikely to come up at WWDC, Apple has to deal with tariffs imposed by US President Donald Trump in his trade war with China, a key market for sales growth as well as the place where most iPhones are made. Trump has also threatened to hit Apple with tariffs if iPhone production wasn't moved to the US, which analysts say is impossible given the costs and capabilities. "The whole idea of having an American-made iPhone is a pipe dream; you'd have to rewrite the rules of global economics," said Sevilla. One of the things Apple has going for it is that its fans are known for their loyalty and likely to remain faithful regardless of how much time it takes the company to get its AI act together, Milanesi said. "Do people want a smarter Siri? Yeah," Milanesi said. "But if you are in Apple, you're in Apple and you'll continue to buy their stuff."


Zawya
a day ago
- Zawya
IntelliDent AI and Woxsen University forge strategic alliance to advance AI research, leadership & innovation in healthcare
IntelliDent AI, a Dubai-based healthtech company at the forefront of artificial intelligence solutions in dentistry, has signed a Memorandum of Understanding (MoU) with Woxsen University's AI Research Centre, Hyderabad, India. The five-year strategic partnership aims to drive collaborative innovation through joint research, live project exposure, and advanced technical training. This collaboration is designed to fuel co-innovation, AI-driven entrepreneurship, and cutting-edge research in digital healthcare. Under this agreement, IntelliDent AI and Woxsen University will engage in joint academic-industry initiatives focused on AI-driven healthcare solutions, consultancy-based projects, and the commercialization of technology innovations. The MoU outlines cooperation in the following key areas: Real-World AI Projects: IntelliDent will provide students from Woxsen's AI Research Centre hands-on exposure to live, real-time projects from the healthcare domain—preparing them to address real-world challenges with AI-driven solutions. Joint Research & Publications: Both institutions will collaborate on research grants, white papers, product prototypes, and academic publications that shape the future of medical technology. Entrepreneurship & Product Commercialization: Special focus will be placed on developing products from ideation to market readiness, with guidance on building startups and commercializing AI health tech solutions. Cross-Training & Knowledge Exchange: Faculty and industry professionals will exchange expertise in best practices, fostering a culture of mutual growth and continuous innovation. Strategic Awareness Initiatives: Co-hosted awareness programs, leadership bootcamps, and innovation challenges will promote ethical AI, responsible leadership, and entrepreneurship across emerging markets. Speaking on the occasion, Mr. Affaan Shaikh, Founder and CEO of IntelliDent AI, stated: 'This MoU with Woxsen isn't just about technology, it's about inspiring a generation of AI leaders who blend deep tech knowledge with entrepreneurial thinking and purpose-driven leadership. By embedding awareness, education, and innovation into every layer of this partnership, we are not only building smarter healthcare systems, but also empowering future changemakers.' The MoU was signed by Dr. Raul V. Rodriguez, Vice President of Woxsen University, and Mr. Affaan Shaikh, with oversight by Dr. Hemachandran K, Director of the AI Research Centre, and Mr. Khalid Shaikh, Advisor to IntelliDent AI. This milestone underscores IntelliDent AI's commitment to shaping global talent in healthcare AI and highlights Woxsen's ongoing mission to blend business, technology, and innovation through meaningful industry collaborations. Together, IntelliDent AI and Woxsen University are setting the foundation for impactful, future-forward education —where research, leadership, and real-world problem-solving converge.