As the venture capital world recalibrates amid global uncertainty, Cyberport Venture Capital Forum (CVCF) 2025 returns on November 6-7 under the theme “The Innovation–Venture Nexus: Igniting Transformative Success”. PHOTO: CYBERPORT
Cyberport Venture Capital Forum (CVCF) 2025 Returns Under the Theme "The Innovation–Venture Nexus: Igniting Transformative Success"
Updated
November 27, 2025 3:26 PM
As the venture capital world recalibrates amid global uncertainty, Cyberport Venture Capital Forum (CVCF) 2025 returns on November 6-7 under the theme “The Innovation–Venture Nexus: Igniting Transformative Success”. PHOTO: CYBERPORT
The two-day forum will once again bring together global and local leaders to explore how technology, capital and collaboration intersect to drive the next wave of growth. Entrepreneurs, investors and innovators will exchange insights on artificial intelligence, digital assets and Web 3.0—technologies that are reshaping industries and redefining both risk and opportunity.
As industries face challenges from geopolitical shifts, regulatory changes and market volatility, CVCF will serve as a platform to address a defining question: How can innovation remain bold and visionary in an ever-evolving funding landscape? Through keynotes, panel discussions and interactive sessions, the forum will spotlight the transformative potential of technologies like artificial intelligence (AI), Web 3.0 and digital assets while offering practical strategies to turn disruption into market advantage.
With investor matching, power pitches, start-up clinics and workshops, CVCF 2025 offers a front-row seat to emerging markets across Asia, the Middle East, the United States and Europe, connecting forward-thinking investors with visionary entrepreneurs. It is not just a conference—it’s a bridge between ideas and investment designed to ignite breakthroughs and foster growth in the global innovation ecosystem. It provides a unique platform for startups and investors to navigate the complexities of today’s economy while seizing new opportunities for collaboration and growth.
To preview the conversations ahead, three speakers share perspectives on trends shaping the future of innovation, investment and entrepreneurship, setting the stage for the discussions that will unfold at CVCF 2025.
Co-founder and CEO, AIFT
Session: Riding the Middle East Momentum — Capitalizing Unique Innovation and Investment Strengths
As the Middle East accelerates its shift from oil dependence toward digital diversification, the region is becoming a focal point for blockchain and AI investment. In his upcoming session, Alvin Kwock will explore the region’s innovation potential — and here, he shares some of his views on the opportunities shaping that transformation.
Alvin Kwock, co-founder and CEO of AIFT, oversees operations across three verticals: AI and cybersecurity (Vulcan and Cymetrics), blockchain (OneInfinity and OneSavie) and pet and B2C (OneDegree). With local operations spanning Asia and the Middle East, AIFT is expanding rapidly.
When asked about the Middle East’s rapid rise as a global innovation hub, Kwock said that the region is shifting from a petroleum-dependent economy to one increasingly diversified through technology and innovation, with markets advancing blockchain and AI technologies. AIFT is prioritizing expansion in the UAE and Saudi Arabia, where AI investment and regulatory openness create immense potential. Hong Kong’s expertise in financial risk management acts as a “confidence anchor” for international markets, allowing AIFT to deliver compliant solutions tailored for emerging markets while developing Sharia-compliant, regulation-aligned technologies.
“Hong Kong’s storied expertise in financial risk management acts as a ‘confidence anchor’ for international markets.”
He also noted that the region’s accelerating digital adoption opens unique opportunities for AI, insurtech and fintech. The UAE and Bahrain’ embrace of virtual assets, combined with Hong Kong’s proven frameworks, provide a foundation for localized solutions. By integrating risk oversight and regulatory best practices, AIFT supports stable market growth and delivers specialized insurance to enhance resilience in emerging markets.
On managing geopolitical risk, Kwock explained that AIFT mitigates exposure through local partnerships, regulatory alignment and cultural understanding. By hiring Arab employees and ensuring operations align with Islamic values, AIFT strengthens Hong Kong–Middle East collaboration. This approach, he said, offers a blueprint for startups: prioritize local engagement and flexibility to balance risk and growth.
Founder, Hash Global Advisory Company Ltd.
Session: From Hype to Holdings — Where Smart Money Goes in Digital Assets 2025–2027
With institutional frameworks for Web 3.0 maturing, investors are increasingly focused on sustainable value creation. In his session, Kang Shen will discuss how smart capital is moving beyond speculation toward real-world utility—themes echoed in his reflections shared ahead of the forum.
Kang Shen, founder of Hash Global Advisory, applies value-investing principles to the Web 3.0 sector. A graduate of Fudan University and the University of Chicago Booth School of Business and a Chartered Financial Analyst (CFA), Shen has more than 20 years of financial industry experience with roles at the Industrial Bank of Japan, PIMCO and Bosera Asset Management.
On the tokenization of real-world assets, Shen observed that the RWA sector remains in its early phase of regulatory and infrastructure development. Over the next two years, as compliance systems mature, scalable projects with tangible value will emerge. For now, his approach remains cautious, focusing on fundamentals rather than inflated market narratives.
He also shared his optimism for three areas with the most potential upside: Web 3.0 Culture and Entertainment—including projects like Meet48 and Offgrid; Web 3.0 E-Commerce and Payments—with ventures such as WSPN, RD Technologies and Bitgoods; and On-Chain Data and Data Assets—such as Chainbase and Data Dance Chain. These, he noted, represent meaningful real-world applications of Web 3.0 technologies.
“Web 3.0 is currently undergoing a process of value realignment.”
Shen emphasized that Hash Global has always been committed to applying value-investing principles to the field of digital asset management. As early as 2019, the firm proposed using a monetary equation framework to evaluate ecosystem tokens and recently defined a new class—“Value-Functional Tokens”. He believes Web 3.0 is now undergoing a process of value realignment, where genuine utility will determine long-term worth.
Founder and CEO, Zhejiang Linctex Digital Technology Co., Ltd. (Style3D)
Session: Strategic Exits — IPO Paths for Expanding Rapid-Growth Companies
The fashion and textile industry is undergoing rapid digital transformation. Against this backdrop, Eric Liu will join CVCF 2025 to discuss strategic growth and expansion paths for fast-scaling companies.
Eric Liu, founder and CEO of Zhejiang Linctex Digital Technology Co., Ltd. (Style3D), holds dual master’s degrees in applied computing and molecular biology from VUB University in Belgium and a PhD in Electronic Information Engineering from Zhejiang University. A serial entrepreneur in the textile industry, Liu founded Style3D to drive digital transformation through AI and 3D technology.
He explained that Style3D’s fusion of AI and 3D technology builds a full-chain digital ecosystem. AI-driven design tools powered by large language models shorten design cycles from weeks to hours, while 3D simulation reduces prototyping costs by 30 percent. The company’s self-developed simulation engine supports virtual fashion shows and sustainability initiatives by optimizing fabric usage.
“Style3D’s fusion of AI and 3D technology builds a full-chain digital ecosystem.”
On the company’s origins, Liu said that traditional fashion R&D cycles are slow and costly. By integrating AI for pattern generation and 3D for design-to-production links, Style3D overcomes these barriers. With over 200 core patents and an extensive database of 2.3 million fabric properties and 1.2 million garment templates, the company leads digital fashion innovation.
Looking ahead, Liu noted that Style3D reinvests 40 percent of annual revenue into R&D, develops AI-driven trend prediction tools and expands innovation hubs in Paris and Milan. By leading the standardization of “3D Digital Fashion Infrastructure”, Style3D is setting the industry benchmark for the next era of intelligent manufacturing.
As global innovators prepare to gather at CVCF 2025, the forum promises to ignite ideas, discoveries and partnerships that will shape the future of technology and investment. From cutting-edge insights to practical strategies, the conversations starting here are just the beginning of a journey to redefine what’s possible in the global innovation ecosystem.
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The hidden cost of scaling AI: infrastructure, energy, and the push for liquid cooling.
Updated
December 16, 2025 3:43 PM
The inside of a data centre, with rows of server racks. PHOTO: FREEPIK
As artificial intelligence models grow larger and more demanding, the quiet pressure point isn’t the algorithms themselves—it’s the AI infrastructure that has to run them. Training and deploying modern AI models now requires enormous amounts of computing power, which creates a different kind of challenge: heat, energy use and space inside data centers. This is the context in which Supermicro and NVIDIA’s collaboration on AI infrastructure begins to matter.
Supermicro designs and builds large-scale computing systems for data centers. It has now expanded its support for NVIDIA’s Blackwell generation of AI chips with new liquid-cooled server platforms built around the NVIDIA HGX B300. The announcement isn’t just about faster hardware. It reflects a broader effort to rethink how AI data center infrastructure is built as facilities strain under rising power and cooling demands.
At a basic level, the systems are designed to pack more AI chips into less space while using less energy to keep them running. Instead of relying mainly on air cooling—fans, chillers and large amounts of electricity, these liquid-cooled AI servers circulate liquid directly across critical components. That approach removes heat more efficiently, allowing servers to run denser AI workloads without overheating or wasting energy.
Why does that matter outside a data center? Because AI doesn’t scale in isolation. As models become more complex, the cost of running them rises quickly, not just in hardware budgets, but in electricity use, water consumption and physical footprint. Traditional air-cooling methods are increasingly becoming a bottleneck, limiting how far AI systems can grow before energy and infrastructure costs spiral.
This is where the Supermicro–NVIDIA partnership fits in. NVIDIA supplies the computing engines—the Blackwell-based GPUs designed to handle massive AI workloads. Supermicro focuses on how those chips are deployed in the real world: how many GPUs can fit in a rack, how they are cooled, how quickly systems can be assembled and how reliably they can operate at scale in modern data centers. Together, the goal is to make high-density AI computing more practical, not just more powerful.
The new liquid-cooled designs are aimed at hyperscale data centers and so-called AI factories—facilities built specifically to train and run large AI models continuously. By increasing GPU density per rack and removing most of the heat through liquid cooling, these systems aim to ease a growing tension in the AI boom: the need for more computers without an equally dramatic rise in energy waste.
Just as important is speed. Large organizations don’t want to spend months stitching together custom AI infrastructure. Supermicro’s approach packages compute, networking and cooling into pre-validated data center building blocks that can be deployed faster. In a world where AI capabilities are advancing rapidly, time to deployment can matter as much as raw performance.
Stepping back, this development says less about one product launch and more about a shift in priorities across the AI industry. The next phase of AI growth isn’t only about smarter models—it’s about whether the physical infrastructure powering AI can scale responsibly. Efficiency, power use and sustainability are becoming as critical as speed.