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March 17, 2026

Dali IO-12 Review: Hi-Fi Wireless Headphones

Dali IO-12 Review: Hi-Fi Wireless Headphones

Mark Matlock / March 17, 2026

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Nvidia Building Multibillion-Dollar Tech Venture

Nvidia Building Multibillion-Dollar Tech Venture

When Nvidia CEO Jensen Huang encouraged the company to begin experimenting with creating AIspecific processors in 2010more than ten years before the current hype around AIhe was years ahead of the market.With little fanfare, a similar move in 2020doubling down on data center networking through a strategic acquisition—led to the creation of one of the company's most profitable and rapidly expanding divisions. Nvidia's networking division, which was created to link data centers, has become the company's secondlargest revenue generator in a matter of years, after compute.According to Nvidia's most recent reports, it raked in more than $31 billion for the entire year and reported $11 billion in revenue last quarter, a 267% rise from the previous year. The division contains technologies such as NVLink, which facilitates communication between GPUs on a data center rack; Nvidia InfiniBand Switches, an innetwork computing platform; SpectrumX, the ethernet platform for AI networking; and copackaged optical switches, among others, driven by the growth in AI processing. All of the technology required to construct a "AI factory," a data center intended for AI model training, is included in Nvidia's networking division. Nvidia's networking division is one of the company's most outstanding new business sectors, according to Kevin Cook, senior equities strategist at Zacks Investment Research, who spoke with TechCrunch.Cook stated, [Nvidia's networking business] reports $11 billion for the quarter; that amount is bigger than Cisco's networking business, almost as big as the fullyear expectations." He added that Nvidia's networking company accomplishes what Cisco's business does annually in just one quarter. However, the company's far larger chip division receives more attention than the business segment.Additionally, it receives less attention than the company's gaming division, which is almost three times smaller. Mellanox, a networking firm established in Israel in 1999 that Nvidia purchased for $7 billion in 2020, is where Nvidia's networking business got its start. Nvidia's senior vice president of networking is Kevin Deierling.He became a member of the corporation after Mellanox was acquired.Deierling told TechCrunch that his poor marketing of Nvidia's networking division may be the reason why many are unaware of it, but he does not appreciate that response. According to Deierling, "people conceive of networking as just, 'I have a printer, and I need to connect to it.Jensen stated that the data center is the new computer unit on the day he acquired us.Networking is a foundation, not only a means of transferring tiny amounts of data between computing nodes. Deierling claimed he did not fully get Huang's decision to purchase the business at the time, but he now understands.The company is able to offer its chips with the technology that works best for them because it has a networking business in addition to its GPU business. Jensen realized it was the final component needed to complete GPUs when he acquired Mellanox in 2020," stated Cook, the Zack's analyst. Deierling went on to say that he believes another factor contributing to Nvidia's networking success is that it only offers the technology as a full-stack solution rather than separate parts, and it sells the technology through its partners rather than directly. Deierling remarked, "I can not think of other organizations that have [the] full-stack skills that we have." "We truly differ from one another. After developing the whole computing stack and completely integrated stack, we use all of our partners to launch the product. During Huang's keynote speech at the company's annual Nvidia GTC technology conference on March 16, Nvidia recently revealed a plethora of upgrades to its networking architecture.In order to power a "AI supercomputer," the company introduced the Nvidia Rubin platform, which consists of six new CPUs.Along with other items, Nvidia also revealed more effective Nvidia SpectrumX Ethernet Photonics switches and a new Nvidia Inference Context Memory Storage platform. Regarding networking, Deierling stated, "It is no longer a peripheral to connect the printer or any other slow I/O device." It is essential to the computer. Back then, the computer had what was known as the back lining. The network is now the backbone of the AI factory and is crucial.

by Mark Matlock

Dali IO-12 Review: Hi-Fi Wireless Headphones

Dali IO-12 Review: Hi-Fi Wireless Headphones

If you're searching for the Dali IO-12 review, you already know this isn't just another pair of Bluetooth headphones. DALI,

by Mark Matlock

Meta AI Now Replies To Buyers On Facebook Marketplace

Meta AI Now Replies To Buyers On Facebook Marketplace

Facebook revealed on Thursday that it is implementing new Meta AI features in its Marketplace, one of which is the ability to automatically respond to messages from prospective buyers.AI is also being used by the social network to assist vendors list things more quickly, summarize profiles, and offer shipping on their listings. According to the company, autoreplies powered by Meta AI are making it easier for merchants to respond to initial messages because they receive a lot of consumer queries.Sellers may now utilize Meta AI to automatically create responses to inquiries from buyers regarding an item's availability by utilizing details from their listing, including the item's description, availability, pickup location, and price.When creating a listing, sellers have the option to activate, preview, and modify these auto-replies. This new function is intended to solve a common problem for sellers, who frequently do not want to spend a lot of time answering initial or repetitive communications, including inquiring about an item's availability when it has already been designated as such.In order to address these preliminary questions from potential purchasers, one seller even developed their own AI tool last year. Additionally, Facebook Marketplace now uses Meta AI to enable vendors to display their products automatically.Meta AI can generate a draft listing, complete the contents, and recommend a price based on comparable things in the vicinity after an image of an item is uploaded. Additionally, buyers will now receive an overview of a seller's Facebook profile at the top of their Marketplace page, which includes information about how many friends they have and how long they have been on the platform.A synopsis of their Marketplace activities, including listing history, product categories, and seller ratings, is also shown in the overview. According to Facebook, sellers can now increase their market share by providing delivery on their listings.Additionally, customers can quickly track each order from a straightforward dashboard and create pre-paid shipping labels. The new AI tools complement Facebook Marketplace's current Meta AI integrations, which include AIpowered insights for car listings and a tool to assist buyers in asking the correct questions when making a purchase.

by Mark Matlock

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