
HPE Aruba Expands Networking Portfolio with New Switches
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Hewlett Packard Enterprise (NYSE: HPE) has announced major expansions to its HPE Aruba Networking wired and wireless portfolio.
The company revealed the new HPE Aruba Networking CX 10K distributed services switches. These feature built-in programmable data processing units (DPUs) from AMD Pensando. The DPUs offload security and network services, freeing up resources for AI workload processing.
HPE reported the addition of several new products and capabilities to support enterprise networking needs. These include: The HPE Aruba Networking CX 10040, a new distributed services 'smart switch' that doubles the scale and performance of its predecessor.
Four new HPE Aruba Networking CX 6300M campus switches, which offer faster data speeds in a compact footprint for IoT, AI, and high-performance computing.
New Wi-Fi 7 access points for AI-driven indoor and outdoor connectivity. These are designed to deliver superior service for data, voice, and video communications.
Phil Mottram, EVP and General Manager of HPE Aruba Networking, stated that data-fueled AI, IoT, and other high-performance applications are pushing enterprises to offer cost-effective connectivity. He added that the new innovations deliver ten times the scale and performance at one-third the cost of traditional solutions.
Soni Jiandani, SVP and GM of AMD's Networking Technology and Solutions Group, highlighted the need for scalable and high-performance networking. He confirmed that the AMD DPU technology in the CX 10040 platform enables secure, scalable services for large enterprise deployments at reduced costs.
HPE Aruba Networking continues to exceed industry standards. The company delivers performance, security, and intelligence with all-inclusive licensing. The latest advancements include: The HPE Aruba Networking CX 10040, which uses the AMD Pensando DPU to support AI computing with built-in firewalling, in-line encryption, and telemetry.
The new CX 6300 series switches, offering encryption, precision timing, and application recognition and control (ARC) to meet varied SLAs.
New Wi-Fi 7 access points: the 720, 740 (indoor), and 760 Series (indoor/outdoor). These feature network slicing and dynamic application prioritization for AI and cloud-delivered apps.
Application-aware networking on the CX 5420 and 6200 series, enabling SLA-based data routing across entire networks.
Enhanced AI-powered network management with HPE Aruba Networking Central, providing visibility, control, and analytics across campuses and data centers.
HPE Morpheus VM Essentials integration with the CX 10000 Switch Series, enabling unified orchestration of physical and virtual network security services. This supports ESXi, KVM, and bare metal hosts with no forklift upgrades.
HPE continues to invest in scalable and secure networking solutions. The company remains committed to addressing the evolving demands of AI and high-performance computing.
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The National
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It comes as artificial intelligence threatens to upend the internet search business models that allowed Google to dominate for decades. Almost all witnesses who spoke at the remedy portion of the trial seemed to acknowledge the speed of change in the tech world. The potency, promise and problems of AI in the context of existing business models surfaced several weeks ago when Apple executive Eddy Cue made comments from the witness box that briefly sent Google's stock careening. Mr Cue was responding to a question about user habits and the effect that AI is starting to have on search engine companies like Google. Eventually, his comments segued into a reflection of how technology businesses often struggle to adjust. 'People still are going to need toothpaste 20 years from now, 40 years from now. You may not need an iPhone 10 years from now. As crazy as that sounds,' Mr Cue, the senior vice president of services at Apple, told a lawyer representing Alphabet, owner of Google. 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He also pushed for strong requirements for Google to share search data and analytics with competitors, Perhaps most consequentially, he said Mr Mehta should require that Google divest Chrome, one of the world's most popular web browsers. 'We're here to make sure this cause and the remedies we propose are able to pry open the competition of this market,' Mr Dahlquist argued. 'We understood the assignment, but rather than provide this court with remedies to promote competition, Google provided milquetoast remedies that maintain status quo,' he continued, adding that Google was acting in bad faith to try to maintain its monopoly. 'Despite Google's efforts to avoid facts, those facts, as they've discovered, are stubborn things,' he added, taking a shot at the one of the world's most powerful tech companies and its phalanx of lawyers, sitting nearby. Google's lawyer, John Schmidtlein, didn't mince words in his response. 'Look at how incredibly invasive and broad they are,' he said, referring to the DOJ's remedies that Google believes 'lack causal connection' to its original motives for bringing the company to court. 'What's the amount of data that a company might need to be able to compete?' he rhetorically asked, criticising one of the DOJ's proposed remedies that Google share search data with potential competitors. Mr Mehta pushed back, saying that ample witnesses told the court that data would help increase their ability to compete, adding that it would be a 'difficult exercise' to try to address Google's criticism of the search data remedy proposal. He also asked the DOJ if AI platforms ChatGPT or Perplexity might be eligible to receive data. 'Not today, but it could eventually,' a DOJ lawyer responded. 'They eventually plan to compete with search companies and search indexes.' 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These can often be traced to influencers, celebrities, or niche communities. AI can monitor these key figures and social groups, identifying upticks in certain styles or items. This information is invaluable for brands as it provides real-time insights into what is gaining traction, allowing clients to pivot quickly and capitalise on these micro-trends before they hit the mainstream. Then there's the way heritage is being handled. For maisons like Dior or Chanel, archives are gold. AI is now helping to sift through decades of sketches, textiles, and silhouettes, making it easier for design teams to revisit and reimagine pieces from the past. It doesn't cheapen the process; if anything, it sharpens it. Dior has gone one step further with Astra, its AI-powered platform that looks at customer data to better predict what clients actually want. It's still Dior, still exclusive, still bespoke — but with a slightly smarter engine running in the background. And let's not forget names like Iris van Herpen, who's been ahead of the curve for years, blending machine-led design with couture-level craftsmanship. Her work proves that technology and handcraft can coexist without compromising on either. AI is poised to transform fashion design as we know it. With its ability to generate unconventional, out-of-the-box ideas, the creative process is no longer limited by human bandwidth alone. One designer recently demonstrated this shift through a custom-made dress — initially drafted using AI and later brought to life with the help of skilled tailors. The final piece was a near-perfect replication of the AI-generated concept, signalling a future where design and production could be seamlessly fused through technology. 'AI is set to transform fashion design, enabling more out-of-the-box creativity and faster execution. I've already seen it with a custom piece I created — the AI draft and final design were nearly identical. We no longer need to do photo shoots all the time for content creation. Ghost mannequin photos will be easily done, especially if we already have the picture. We can just replicate it through AI and make endless creative content with that,' says Kanessa Muluneh, serial entrepreneur and founder of MULU Fashion Academy. Intermingling Of Both Máire Morris, CEO of the Dubai-based Morris Global Consulting, chimes in the discussion: 'AI can greatly support the business side of couture — from streamlining internal processes and marketing to researching archives or simulating fabrics. 3D body scanning could also enhance fit precision. But couture is, at its heart, about handcraft and human connection. No machine, however advanced, should replace the artistry or the lifelong trust between a maison and its client. Some things, like couture, deserve to remain sacred.' With excitement and hope, Muluneh says: 'I think AI can revolutionise the world of luxury fashion. Especially when it comes to visuals and content. It can already fully replace humans and create endless creative possibilities…' On a deeper level of seaming and tailoring, and design ideating, she thinks there's a lot of potential for AI in the space. Motif generation from text prompts for visualisation purposes has become a real time saver. It also aids in exploring archival collections and simulating designs on various base fabrics, allowing for quick experimentation with scale and colour. Additionally, the fast conversion of hand drawings to vector files significantly reduces the time previously spent on these processes. Indian fashion designer Manish Malhotra adds: 'AI can be a remarkable ally in motif visualisation by accelerating the journey from inspiration to intricate design. It allows us to input a mood, a cultural reference, or even an emotion, and watch it evolve into visual possibilities — motifs we may not have imagined through traditional sketching alone. For a designer rooted in storytelling like myself, this opens doors to re-interpret heritage with contemporary fluidity. AI doesn't just replicate patterns; it reimagines them, merging archives, textile histories, and geometry into one frame. It's intuitive, iterative, and inspiring.' The Crossroads But luxury has never been about mass-producing garments simply good enough to wear on a night out, has it? In fact, I'd argue that luxury is about how it makes you feel. It taps into your inner self-image and mirrors what you want to project. Some may invest in a piece for the design, others because they believe in the brand's vision, some to support craftsmanship, and others to own a timeless ensemble that can be passed down. 'AI will probably play a significant role in developing and creating elements of design, such as motifs, structure, and sourcing unique elements to include in the final product. But for haute couture to remain true to what its moniker stands for, the human element cannot be replaced,' says Dipesh Depala, founder of Dubai-based luxury fashion PR company The Qode. He continues: 'I don't believe that AI will revolutionise haute couture. Which, by its very nature, requires the human element — the genius and creativity of an individual, not an app. A haute couture customer traditionally has a relationship with the creator. That is a crucial part of the haute couture process, which can't be replaced by AI. What we may well see is a hybrid, where AI helps to enhance rather than replace.' AI certainly has helped fashion evolve — it has made the industry more accessible, more visual, and easier to engage with across generations. But if you've spent any time around those who truly understand and invest in luxury, you'll know this: they're not looking for shortcuts. They don't want fast, easy, or generated. They want intention. They want something that takes time, thought, and craft. AI might help with reach and positioning, but it will never replicate the quiet power of something made with real hands and a clear vision. The true luxury consumer isn't buying into convenience — they're buying into legacy.