New funding and ad support aim to ease capital gaps for small wedding businesses
Updated
February 24, 2026 2:55 PM
Mannequins display white wedding dresses in a bridal shop window. PHOTO: ADOBE STOCK
The Knot Worldwide, a global wedding technology platform and vendor marketplace, has launched a new grant initiative aimed at small businesses in the wedding industry.
The company, which operates brands such as The Knot and WeddingWire, connects couples with wedding professionals and provides tools to help vendors grow. It says the new WeddingPro Grant Program is designed to address a persistent challenge in the sector: access to capital.
Under the program, up to US$500,000 will be distributed to U.S.-based wedding professionals who run small businesses. The support will come in the form of financial grants, advertising credits on WeddingPro and mentorship. Selected businesses will also receive access to education resources and community support through the company’s network.
The move comes at a time when many wedding businesses remain small and resource-constrained. According to the company’s State of the Vendor Report, more than half of wedding businesses employ fewer than ten people. Three in four professionals surveyed said adaptability is critical to long-term success, while flexible funding remains a barrier. The grant program is positioned as a response to that funding gap.
“Our mission at The Knot Worldwide is to help the nearly 900,000 small businesses on our global platforms get discovered through our centralized vendor marketplace as well as give them the tools and resources to grow their business,” said Raina Moskowitz, Chief Executive Officer, The Knot Worldwide. “We consistently hear from our wedding professionals that access to capital is a barrier to getting started in the industry. With our new WeddingPro Grant Program, we will provide access to both capital and critical support services such as mentorship and education that will enable small business owners to further grow and scale.”
The application window opens on February 23 and closes on March 27. Winners are expected to be notified by May 2026, subject to eligibility verification and compliance with the official rules.
The program is open to U.S. wedding professionals who operate small businesses, have been in business for at least six months, can demonstrate an active revenue stream and earn at least 50% of their revenue from weddings. Applicants must submit a short form and a video outlining their business and how they would use the grant funds over the next 12 to 24 months. They can choose whether they prefer a monetary grant or free advertising support on WeddingPro.
To execute the program, The Knot Worldwide has partnered with the Global Entrepreneurship Network, which works with entrepreneurs worldwide. The company says the initiative builds on earlier efforts to support vendors on its platform, which includes about 200,000 wedding professionals in the United States. Its impact will depend on how effectively the support reaches the businesses that need it most. The real measure will be whether it helps them achieve steady, sustainable growth.
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The hidden cost of scaling AI: infrastructure, energy, and the push for liquid cooling.
Updated
January 8, 2026 6:31 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.