VDURA and NMSU Partner to Pioneer Post-Quantum Cryptography for AI & HPC Data Infrastructure
Co-develop and commercialize post-quantum cryptographic (PQC) technology that safeguards the petabyte-scale data pipelines powering next-generation AI and HPC workloads.
Share
'AI training sets, model checkpoints, and real-time HPC simulations generate an unprecedented flow of critical data,' said Ken Claffey, CEO of VDURA. 'Our mission has always been to deliver the most reliable, performance-dense data platform in the industry. By embedding quantum-resilient encryption into VDURA's flash-optimized architecture, we're future-proofing that mission for the AI era.'
NMSU, recently elevated to Carnegie R1 status, brings world-class cryptography and cybersecurity research to the collaboration. Together, the teams will integrate NIST-selected PQC algorithms into VDURA's parallel file-system stack, enabling line-rate encryption of GPU-accelerated workloads without sacrificing performance.
'We're excited to work with VDURA to translate our academic innovations into deployable solutions,' said Dr. Jay Misra, Associate Dean for Research in the College of Engineering. 'This is an excellent example of how research at R1 universities can shape and secure the technological future.'
"Industry partnerships are essential to expanding and diversifying NMSU's research portfolio. The VDURA initiative is a high-impact, translational collaboration that positions NMSU as an emerging national leader in cybersecurity," added Dr. Luis Cifuentes, Vice President for Research.
With this alliance, VDURA and NMSU are setting a new benchmark for secure, high-performance data infrastructure—protecting the information that powers discovery today and the quantum-driven breakthroughs of tomorrow.
About VDURA
VDURA builds the world's strongest data platform for AI and high-performance computing, blending flash-first speed with true hyperscale capacity and an industry-leading 12-nines durability commitment. Visit vdura.com for more information.
About New Mexico State University
Founded in 1888 and headquartered in Las Cruces, New Mexico State University (NMSU) is a Carnegie R1 research institution serving more than 21,000 students. NMSU's interdisciplinary research programs span cybersecurity, advanced materials, agriculture, aerospace, and more, advancing innovation that improves lives across New Mexico and beyond.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
15 hours ago
- Yahoo
Nvidia quietly buys more stock in AI infrastructure favorite
Nvidia quietly buys more stock in AI infrastructure favorite originally appeared on TheStreet. Nvidia has been at the center of the artificial intelligence (AI) boom, supplying the chips that power everything from cloud data centers to generative AI models. However, the company's latest 13F filing with the SEC suggests its ambitions go well beyond selling its own hardware. As of June 30, 2025, Nvidia's investment portfolio shows a calculated bet on the ecosystem of companies building the next generation of AI infrastructure. The filing, released Thursday, provides a snapshot of Nvidia's stock positions at the end of the second quarter. The chipmaker holds stakes in a handful of firms operating across semiconductors, cloud infrastructure, and AI-driven life sciences. Its top positions, ranked by size, reveal a deliberate strategy to back companies positioned to fuel and benefit from AI adoption. One holding in particular stands out from the rest. Not only does it top the list of Nvidia's holdings, but Nvidia () also increased its exposure to the company significantly during Q2 2025, bringing the value of its stake to nearly $4 billion. More Tech News: Amazon's quiet pricing twist on tariffs stuns shoppersBank of America flags 3 breakout stocks to watch ahead of earnings For a business already at the heart of the AI trade, Nvidia's doubling down here demonstrates massive conviction in the partners helping build the backbone of the artificial intelligence industry. CoreWeave takes center stage for Nvidia That company is CoreWeave () , a cloud computing specialist focused on providing GPU-accelerated infrastructure for AI workloads. Nvidia raised its stake to roughly 24.28 million shares of CoreWeave during the quarter -- up from 17.9 million shares at the time of CoreWeave's IPO prospectus at the end of March -- valued at $4.33 billion as of this writing. That makes CoreWeave Nvidia's largest equity holding, representing more than 91% of its total portfolio on June 30. CoreWeave has quickly become one of the most closely watched private-to-public pipeline names in the AI ecosystem. By offering customized infrastructure designed for machine learning and generative AI, it has emerged as a critical customer and collaborator for expanded investment shows just how tightly aligned the two companies' futures have become. Other stocks in Nvidia's investment portfolio Arm Holdings Applied Digital Nebius Recursion Pharmaceuticals Beyond CoreWeave, Nvidia's portfolio also highlights exposure to several other AI-adjacent firms. Its second-largest position (representing roughly 4.1% of its portfolio) is Arm Holdings () the British semiconductor designer whose architecture underpins much of the mobile and edge computing world. Nvidia also owns modest stakes in Applied Digital () and Nebius (NBIS), which represent around 1.8% and 1.5% of its total portfolio, respectively. Both operate in the high-performance computing and data infrastructure space. Nvidia also owns a small stake in Recursion Pharmaceuticals () , a biotech leveraging AI for drug discovery. Together, these positions reveal that Nvidia is not just betting on selling GPUs, but on the broader network of companies creating demand for them. By taking equity stakes, the GPU giant enjoys potential financial upside while strengthening its strategic partnerships. How Nvidia is building an AI ecosystem For investors, Nvidia's growing exposure to CoreWeave and its ecosystem partners should serve as yet another indicator that the world's AI buildout is still in its infancy. While some skeptics warn of overheating in the sector, Nvidia's approach suggests the company views AI infrastructure as a long-term structural shift, not just a short-term market cycle. Just as Bill Ackman's hedge fund has tilted toward the "Magnificent Seven" in recent quarters, Nvidia is concentrating its financial firepower on companies it sees as foundational to the AI economy. If its CoreWeave bet pays off, it may further cement Nvidia's role as both a dominant AI chip supplier and an influential investor shaping the industry's next wave of quietly buys more stock in AI infrastructure favorite first appeared on TheStreet on Aug 17, 2025 This story was originally reported by TheStreet on Aug 17, 2025, where it first appeared.
Miami Herald
18 hours ago
- Miami Herald
Nvidia quietly boosts its bet on an AI infrastructure favorite
Nvidia has been at the center of the artificial intelligence (AI) boom, supplying the chips that power everything from cloud data centers to generative AI models. However, the company's latest 13F filing with the SEC suggests its ambitions go well beyond selling its own hardware. As of June 30, 2025, Nvidia's investment portfolio shows a calculated bet on the ecosystem of companies building the next generation of AI infrastructure. The filing, released Thursday, provides a snapshot of Nvidia's stock positions at the end of the second quarter. The chipmaker holds stakes in a handful of firms operating across semiconductors, cloud infrastructure, and AI-driven life sciences. Its top positions, ranked by size, reveal a deliberate strategy to back companies positioned to fuel and benefit from AI adoption. Image source: Morris/Bloomberg via Getty Images Not only does it top the list of Nvidia's holdings, but Nvidia (NVDA) also increased its exposure to the company significantly during Q2 2025, bringing the value of its stake to nearly $4 billion. More Tech News: Amazon's quiet pricing twist on tariffs stuns shoppersMicrosoft CEO sends a surprising message on quantum computingBank of America flags 3 breakout stocks to watch ahead of earnings For a business already at the heart of the AI trade, Nvidia's doubling down here demonstrates massive conviction in the partners helping build the backbone of the artificial intelligence industry. That company is CoreWeave (CRWV) , a cloud computing specialist focused on providing GPU-accelerated infrastructure for AI workloads. Nvidia raised its stake to roughly 24.28 million shares of CoreWeave during the quarter -- up from 17.9 million shares at the time of CoreWeave's IPO prospectus at the end of March -- valued at $4.33 billion as of this writing. That makes CoreWeave Nvidia's largest equity holding, representing more than 91% of its total portfolio on June 30. CoreWeave has quickly become one of the most closely watched private-to-public pipeline names in the AI ecosystem. By offering customized infrastructure designed for machine learning and generative AI, it has emerged as a critical customer and collaborator for Nvidia. Related: Stock Market Today: Stocks tumble with inflation, CoreWeave IPO in focus Nvidia's expanded investment shows just how tightly aligned the two companies' futures have become. Arm Holdings Applied DigitalNebiusRecursion Pharmaceuticals Beyond CoreWeave, Nvidia's portfolio also highlights exposure to several other AI-adjacent firms. Its second-largest position (representing roughly 4.1% of its portfolio) is Arm Holdings (ARM,) the British semiconductor designer whose architecture underpins much of the mobile and edge computing world. Nvidia also owns modest stakes in Applied Digital (APLD) and Nebius (NBIS), which represent around 1.8% and 1.5% of its total portfolio, respectively. Both operate in the high-performance computing and data infrastructure space. Nvidia also owns a small stake in Recursion Pharmaceuticals (RXRX) , a biotech leveraging AI for drug discovery. Together, these positions reveal that Nvidia is not just betting on selling GPUs, but on the broader network of companies creating demand for them. By taking equity stakes, the GPU giant enjoys potential financial upside while strengthening its strategic partnerships. How Nvidia is building an AI ecosystem For investors, Nvidia's growing exposure to CoreWeave and its ecosystem partners should serve as yet another indicator that the world's AI buildout is still in its infancy. While some skeptics warn of overheating in the sector, Nvidia's approach suggests the company views AI infrastructure as a long-term structural shift, not just a short-term market cycle. Just as Bill Ackman's hedge fund has tilted toward the "Magnificent Seven" in recent quarters, Nvidia is concentrating its financial firepower on companies it sees as foundational to the AI economy. If its CoreWeave bet pays off, it may further cement Nvidia's role as both a dominant AI chip supplier and an influential investor shaping the industry's next wave of growth. Related: Bill Ackman pours billions into 2 tech stocks amid AI boom The Arena Media Brands, LLC THESTREET is a registered trademark of TheStreet, Inc.
Los Angeles Times
a day ago
- Los Angeles Times
Pasadena Startup Compute Labs Launches Pilot Program to Tokenize AI Infrastructure
As GPU hardware is overtaxed worldwide, a novel solution is being created utilizing digital currency exchanges A Pasadena startup is looking to capitalize on the AI boom by investing in the infrastructure that powers data centers – the GPUs, or graphic processing units, that make up the data centers supporting large language models. 'Our goal is to democratize access to the infrastructure layer,' said Albert Zhang, chief executive of Compute Labs. 'There is a significant demand over supply situation. Many GPUs are running at 100% utilization. The yield for these assets are really high at the moment.' That moment could have long tail winds as companies such as OpenAI, Google and Meta plan to invest billions of dollars in data center development. For example, Meta reportedly was in discussions with private credit investors including Apollo Global Management KKR, Brookfield, Carlyle and PIMCO to raise $26 billion in debt to finance data centers. Compute Labs raised $3 million in a pre-seed round last year led by Protocol Labs. The company purchases equipment on behalf of accredited investors and then leases it to data centers which pay on a revenue sharing model. The assets are sold to investors through a digital token that is collateralized against the physical asset. These tokens pay regular distributions and can be traded on digital currency exchanges. In this model, the data centers are able to offload a capital expenditure and turn it into a regular operating expense. Otherwise, operators would typically rely on private lenders. It launched its first data center investment in June with $1 million that has all been invested and distributed as tokenized GPUs. It plans to raise $10 million following the pilot deal and has over $100 million in GPUs in its pipeline ready to match with investors. Zhang's background includes working at a Y Combinator company and at a financial technology company. He pivoted to AI in 2022 when OpenAI was released. A discussion with an angel investor from the semiconductor industry told Zhang that if he could have started over, he would have invested in the infrastructure of the business. Companies had started selling assets such as U.S. Treasuries as tokenized digital assets. Plus, Jensen Huang hosted a GPU conference in March 2024 where he said that the computer will be the currency of the future. 'After that, we closed within two weeks,' said Zhang. 'It's like syndicating real estate deals, but the asset class is new. We have a lot of challenges as a super young company without a track record, and investors don't realize that the GPU can yield at such a high rate.' There are additional regulatory challenges, but some of those were addressed with the recently passed Genius Act, which includes a clearer framework around stable coin and real-world assets. Compute Labs is also looking into a SPAC merger, which would make it a public company and give it broader access to capital.
