Senior Solution Manager EDGE & AI

Broadcom and Supermicro unify AI factory management. AI factory management is expanding beyond software and servers to encompass the physical systems supporting production workloads. Broadcom Inc. and Super Micro Computer Inc. are integrating their technologies to coordinate artificial intelligence infrastructure from hardware provisioning through lifecycle operations. VMware AI Factory supplies the software-defined layer, while Supermicro's management suite extends visibility into servers, networking, power, cooling and firmware. The expanded partnership is intended to give enterprises and cloud providers a more unified way to deploy and operate large AI environments. "I wanted to... tell you why Supermicro for AI, why VMware and why we are peanut butter and jelly together," said Somik Behera (pictured, right), general manager of cloud, datacenter and AI software products at Supermicro. "Together, every enterprise gets a one-stop solution: a single unified integrated solution across storage, compute, AI and an emerging AI-native application development environment." Behera and Vijay Ramachandran (left), vice president of product management and core infrastructure at Broadcom, spoke with theCUBE Research's Christophe Bertrand and co-host Alison Kosik at VMware Explore, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed how integrated infrastructure can reduce deployment complexity as AI shifts toward enterprise applications. (* Disclosure below.) AI factory management extends from workloads to cooling. VMware Cloud Foundation and Supermicro's HGX systems provide complementary management layers. VMware automates software deployment and lifecycle operations, while SuperCloud Director, SuperCloud Automation Center and SuperCloud Composer manage physical infrastructure across multitenant environments, Behera noted. "The approach that we have taken with the VMware AI Factory is a software-defined approach," he said. "There's no dependency on specific hardware. With that approach, we can expand this AI factory to any certified hardware vendor, with specific validation across various hardware vendors." That integration targets enterprises seeking graphics processing unit capacity through neocloud providers as training gives way to inference and application development, according to Behera. It also extends Broadcom's broader effort to connect private AI infrastructure, software and governance. "The neocloud started off with the AI labs doing training, but the training needs to result in money, which means you have to build applications, workflows, drive business outcomes," Behera said. "And guess who does that? Enterprises. These enterprises are now getting held back because they do not have GPU capacity; they don't have a turnkey solution to move their workloads to these next-generation GPUs. With our partnership, they can take this validated, preconfigured AI factory." Here's the complete video interview, part of theCUBE's coverage of VMware Explore: (* Disclosure: TheCUBE is a paid media partner for the VMware Explore event. Sponsors of theCUBE's event coverage do not have editorial control over content on theCUBE or SiliconANGLE.) Photo: SiliconANGLE. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from its Marketplace portal page and links: https://siliconangle.com/aws-marketplace/. About SiliconANGLE Media. SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

Nvidia puts $3.5 billion into MediaTek as rivals and analysts test its grip on AI. By Nora Bennett Nvidia is putting $3.5 billion into MediaTek, taking a stake in a Taiwanese chipmaker that is building its own line of AI accelerators. The money came through MediaTek's record $3.9 billion bond offering, and it binds a potential competitor closer to Nvidia's ecosystem at the same moment several forces are lining up to test how durable that ecosystem really is. The stock itself has barely moved. NVDA trades at $217.44, up 0.04% on the day, after a run that has added 90.8% over the past year and 11.31% over the last three months. WalletInvestor's model rates the shares A+ and projects a further 64.16% over the coming year, a figure that assumes the AI buildout keeps absorbing every chip Nvidia can ship. The near term looks quieter in the model's read - 0.21% over seven days, 1.29% over two weeks - with the larger gains, 13.46% over three months and 28.93% over six, arriving later. The MediaTek deal cuts both ways. MediaTek makes smartphone and consumer silicon, and it has been moving into AI accelerator territory that overlaps with Nvidia's core business. Nvidia's investment gives it a foothold in a rival's expansion rather than a wall against it. The two already collaborate - MediaTek co-developed the chip inside Nvidia's consumer AI hardware - so the stake reads as a bet that keeping partners inside the tent beats fighting them in the open market. The bond offering it rode on was the largest MediaTek has done. That instinct to expand the footprint shows up in Nvidia's product line too. Supermicro put a GB300-based DGX workstation on sale for roughly $91,100, a desktop machine carrying 748GB of memory. TechRadar noted it costs about seven times a fully loaded Mac Studio, which tells you the audience: research labs and enterprises, not anyone working from a spare bedroom. The pricing is a reminder that Nvidia's most powerful hardware is priced for institutions with budgets to match. The money is spreading past the chipmaker. The clearer story in the cluster is how much of the AI trade now sits outside Nvidia. Investing.com's analysis pointed to the power and cooling companies feeding the data centre boom - the firms supplying the electricity, the transformers and the liquid-cooling systems that racks of Nvidia GPUs cannot run without. As hyperscaler spending keeps climbing, those suppliers capture a slice of the same wave. Sylvia Jablonski made a similar argument, telling TheStreet that Nvidia was only the opening chapter and that September's volatility could surface the next winners. Her view leans toward the overlooked corners of the supply chain - memory chips in particular - where demand tracks the same buildout but the valuations haven't run as far. It's a sentiment call, not a forecast, and it frames Nvidia less as the whole trade than as the anchor of a much wider one. Neither argument says Nvidia loses. Both say the money is now large enough to lift a longer list of names, which is a different market than the one where Nvidia was the only way to own AI. A software case against the moat. The competitive pressure is more pointed elsewhere. The chief executive of Wafer AI argued that AMD hardware can match Nvidia's performance with enough software optimization, a claim that goes at the heart of Nvidia's advantage. That advantage has never been raw silicon alone; it's CUDA, the software layer developers have built on for years and are reluctant to abandon. If optimization can close the gap on competing chips, the cost calculus for buyers shifts. Wafer backed its independence with its wallet. The company turned down acquisition offers from several cloud providers after raising $40 million at a valuation roughly 50 times its previous mark, according to Crypto Briefing. Staying independent keeps another player working to loosen Nvidia's grip rather than folding into a larger platform. Whether software tuning actually erodes CUDA's lead is unresolved - the claim comes from a company with a direct interest in it being true - but the fact that funding is flowing toward that thesis is itself worth noting. Blackwell's driver problem. Not every headline is strategic. Nvidia's latest GPU drivers have drawn steady complaints from gamers, with a fresh bug adding to the frustration and one user telling TechRadar the quality has been "particularly bad since Blackwell." It's a consumer-side irritation, far from the data centre revenue that drives the stock, but it lands on the same architecture powering Nvidia's flagship AI systems. Software polish is a recurring soft spot for a company that has bet its future on the software layer holding buyers in place. There's a caution flag in the financials as well. The Motley Fool flagged one note of restraint buried in Nvidia's most recent blowout quarter - the kind of detail that matters more to holders weighing the next few quarters than the last set of results. Growth at Nvidia's scale eventually decelerates by arithmetic alone, and spotting where the company itself signals that is the useful exercise. Where the tension sits. Put the threads together and the picture is a company still dominant but no longer unchallenged on any single front. Nvidia is buying into rivals, pricing its top hardware for institutions, and watching capital pool around both its suppliers and its would-be competitors. WalletInvestor's model stays constructive across every horizon it measures, with the steepest projected gains further out than the next two weeks. The open question is whether the software moat - CUDA, the developer lock-in, the ecosystem Nvidia keeps widening through deals like MediaTek - holds as competitors and their backers spend to chip away at it. For now, the stock sits at $217.44, and the market is treating the challenges as noise around a position that hasn't cracked. Nora Bennett Senior markets editor, WalletInvestor Nora leads WalletInvestor's markets desk, covering macro data, central banks and the forces moving global equities and rates.