Wireless connectivity is what allows wearables to communicate with your phone, sync with the cloud, and even talk to other devices around you. It’s the invisible thread that ties the entire ecosystem together. Our video series, 3 for 3, provides 3 answers for 3 pressing questions about trends in wireless test. In our latest video, LitePoint’s Adam Smith discusses why wireless technology is essential for wearables, the challenges wearables pose for connectivity and AI, and efforts to improve battery life.
TAIPEI, Taiwan – May 28, 2026 – MediaTek will showcase its next-generation edge-to-cloud technologies and solutions for the Agentic AI era at Computex 2026. Themed “AI Without Limits,” booth highlights include the award-winning Wi-Fi 8 product series; edge computing platforms empowering Agentic AI across tablets, automotive, and IoT; 6G and satellite communication technologies; and advanced data center solutions. This comprehensive lineup will demonstrate MediaTek’s robust R&D capabilities and limitless innovation in the age of AI.
“By delivering diverse platforms that provide extreme computing power to devices, advancing data center technologies, and driving seamless communication, we hold a distinct advantage in Agentic AI that spans from edge to cloud,” said Joe Chen, President of MediaTek. “At such an important inflection point for the industry, we remain committed to working closely with global partners, customers, the AI ecosystem, and the semiconductor supply chain to push forward the acceleration of ubiquitous AI and further expand investments in AI infrastructure.”
Empowering the Edge with Agentic AI
MediaTek and NVIDIA will showcase NVIDIA DGX Spark, an agentic AI powerhouse built on the NVIDIA GB10 Grace Blackwell Superchip. Its 1-PetaFLOP GPU and 20-core CPU share coherent unified LPDDR5x memory to deliver effortless on-device hosting of large AI models which empower autonomous, intelligent task orchestration that redefines desktop productivity. The showcase will also highlight one of the first gaming monitors powered by NVIDIA G-SYNC Pulsar scaler chip.
Additionally, MediaTek continues to innovate to make the future of automobiles more integrated with AI. The MediaTek Dimensity AX C-X1 flagship smart cockpit platform includes NVIDIA’s AI and gaming technologies, supporting the convergence of Agentic AI and perceptual computing, hybrid edge-cloud computing, and concurrent AI and HMI (Human-Machine Interface) operations. The world’s first automotive chipset to support AAA games, the C-X1 transforms the vehicle’s system from a passive tool into a proactive AI smart cockpit capable of truly understanding both the car and its passengers. Alongside it is the Dimensity AX MT2739, a flagship telematics platform and the world’s first automotive chipset supporting 3GPP R18 5G NR-NTN satellite video calls from anywhere on the planet. It features built-in MediaTek Modem AI (MMAI) technology, which successfully reduces stuttering by 30% in handover scenarios like driving into underground parking or tunnels during a conference call or navigation apps.
Advancing High-Performance Computing Across Edge Devices
MediaTek will also highlight multiple applications tailored for high-end computing. These include smartphone and tablet platforms supporting offline AI generation, the latest e-reader platform with meeting transcription capabilities, Chromebook platforms built for efficient support of AI productivity applications, and a scaler platform supporting 5K wide-screen AI super-resolution gaming monitors. The showcase will include IoT platforms running the OpenClaw model, commercial drone solutions, AMRs, and industrial and retail applications. In the smart home sector, the MediaTek Pentonic 800 is the world’s first AI TV SoC to support Dolby Vision 2. This enables TVs to unlock their full potential to deliver a more authentic and captivating picture with innovations like Dolby’s next-generation Image Engine, Content Intelligence, and Authentic Motion. Several TV models utilizing this chip will be available in market with Dolby Vision 2 later this year.
Data Center Technology Advancements for Cloud AI
Pushing beyond just a single component, MediaTek Data Center Solutions (DCS) delivers truly end-to-end AI data center platforms, ranging from custom ASIC designs and custom XPUs, advanced 2.5D/3.5D packaging, and state-of-the-art high-speed interconnect, to full rack-level integration. DCS weaves the fabric of AI scaling into a single unified system that enables customers to build data centers that achieve superior performance per TCO and performance per watt at scale.
Continuing its investment in next-gen technologies to address the industry’s demand for silicon photonics and higher bandwidth density, MediaTek is showcasing two key advancements at Computex 2026. The first is a Co-Packaged Optics (CPO) technology reaching bandwidth speeds of up to 400Gbps per fiber. The second is the integration of MicroLED-based technology for data center interconnect. Currently applied to Active Optical Cables (AOCs) at the show, this technology features monolithic integration into CMOS transceivers, matching copper wire reliability and lowering power consumption by 50% while remaining fully compatible with existing equipment. This MicroLED-based technology is also applicable to both CPO and Near-Packaged Optics (NPO).
The Highway of the AI Era: 6G and Wi-Fi 8 Connectivity
Featuring an advanced iteration of Dynamic Sub-Channel Operation (DSO) technology, the MediaTek Filogic 8800 is the world’s first cross-generation-interoperable Wi-Fi 8 chipset. This solution directly improves the connection stability of existing Wi-Fi devices, increases system throughput by 200%, and reduces file download times by up to 50%. By maximizing real-world spectrum efficiency, it accelerates the global transition to a premium Wi-Fi era. Accompanying this is MediaTek Filogic AI, the world’s first AI-empowered smart Wi-Fi experience. Its core features include AI Network Doctor, AI Power Saving, Performance Optimization, and Smart Traffic Scheduling. AI Network Doctor slashes average repair times from 2-4 hours to under 1 minute and reduces field maintenance dispatches by 20%, potentially saving major operators hundreds of millions of dollars annually. Meanwhile, the AI Power Saving mode adapts precisely to daily usage behaviors, ensuring 24/7 high performance while cutting power consumption by 50%.
The T930 5G FWA platform is the world’s first to boast both 3GPP Release 18 and Wi-Fi 8 capabilities. Combined with AI Network Engine technology, it delivers a noticeably upgraded internet experience. In recent years, MediaTek has partnered with global network and FWA ecosystem partners, including Askey, Compal, FII, NEC Platforms, Pegatron, Sercomm, WNC, and Zyxel, to continuously expand deployments and develop competitive product portfolios, striving to become a key partner for top-tier global telecom operators.
Finally, MediaTek will showcase two leading-edge 6G technology concepts. As an active driver of 6G standards, MediaTek is presenting the world’s first demonstration of 6G radio interoperability. This technology balances high-speed transmission with exceptional scheduling flexibility for low latency and low power consumption. It is poised to support future hybrid edge-cloud Agentic AI collaboration models, making it ideal for massive Agentic AI applications such as robot AI-to-AI, human-to-AI, and service-to-AI interactions. The second concept is 6G device collaborative MIMO (Co-MIMO) technology, which allows smartphones or wearables to aggregate signals from other indoor 6G devices. This effectively boosts downlink throughput by over 60%, heavily empowering ultra-low latency applications.
For more information regarding MediaTek at Computex 2026, please visit Booth L0818 at Taipei Nangang Exhibition Center, Hall 1 (TaiNEX 1) or go to: https://www.mediatek.com/computex2026
About MediaTek Inc.
MediaTek (TWSE: 2454) is a global leader in fabless semiconductor design, providing solutions from the edge to the cloud. Powering over 2 billion connected devices every year, MediaTek’s leading-edge technology keeps the world connected and enhances everyday life. At the forefront of innovation, MediaTek drives advancements in transformative technologies such as AI, 5G/6G, and Wi-Fi 7/Wi-Fi 8. Our high-performance, power-efficient products form the foundation for a smarter, more connected world, enabling devices from smartphones, smart homes and AI PCs to high-performance computing, automotive, and AI data centers. As a trusted partner to the world’s leading brands, MediaTek leads the industry in creating solutions that meet the evolving needs of the global community, ensuring access to world-class technology for everyone. Our commitment to accelerating AI underscores our dedication to enriching the future of humanity. Visit http://www.mediatek.com for more information.
Modern hotels rely on more connected technology than ever before. Guest Wi-Fi, in-room entertainment, smart devices, digital signage, and operational systems now shape nearly every part of the guest experience.
That growth has created new opportunities for hospitality teams. However, it has also created new operational challenges.
Many hotel teams still manage technology across multiple dashboards, vendor portals, spreadsheets, and support channels. At a single property, that can feel frustrating. Across an entire portfolio, it can become difficult to maintain visibility into system health, ongoing support needs, equipment deployments, and property-level performance.
Hotel technology ecosystems and integration continue to expand. Therefore, operators need better oversight of the systems that support both guests and staff.
Recent hospitality industry research also points to technology fragmentation as a growing operational challenge. In the 2025 State of Hospitality Tech survey published by Hotel Yearbook, integration challenges and disconnected systems ranked among the most common frustrations reported by hotel operators and technology providers.
Hospitality technology no longer operates in isolated categories. Guest connectivity, in-room entertainment, networking infrastructure, and operational services now work together to support the modern hotel experience.
That interconnected environment thus increases the importance of operational awareness.
Without awareness, teams cannot quickly identify network issues, track equipment status, or understand what is happening across properties. Thus, small problems can become larger operational disruptions. Delays in support requests or incomplete visibility into deployments can also slow decision-making.
This challenge becomes even greater for ownership groups and management companies overseeing multiple properties.
Technology teams often need to answer important questions quickly:
Without centralized oversight, however, finding those answers may require logging into multiple systems or contacting several vendors.
Hotel operations move quickly, so technology management needs to keep pace.
Many hospitality organizations are shifting away from reactive technology management models. Waiting for issues to impact operations or guest satisfaction is likely to negatively impact the guest experience. This kind of reactive approach can also end up costing more to resolve issues. Instead, teams want earlier visibility into performance trends and system health.
A more proactive approach helps teams:
Better oversight also supports long-term planning.
Teams using a proactive approach spend less time navigating disconnected systems or manually tracking operational information. Thus, they can respond faster to issues and focus more attention on guest experience, operational consistency, and property performance.
As hotels continue investing in connected experiences, operators need a clearer understanding of how systems perform across their portfolios. Access to consolidated operational insights can help teams make faster and more informed decisions.
Hospitality teams do not need more disconnected tools. Instead, they need better ways to understand the environments they already manage.
Centralized operational visibility can simplify day-to-day technology management. A key benefit is consolidating property-level insights, network monitoring, support activity, and deployment tracking into a unified view.
That level of visibility becomes especially valuable for multi-property operators. Teams can compare performance across locations, identify recurring operational issues, and maintain better alignment between properties.
The goal is not simply to collect more data. Rather, the goal is to make technology operations easier to manage.
Technology now plays a larger role in hotel operations than ever before. As hospitality environments become more connected, the need for operational oversight will continue to grow.
Hotels can use this oversight to better monitor, manage, and support their technology ecosystems. This positions leadership and staff to respond to operational challenges and evolving guest expectations.
At the same time, hospitality teams continue searching for ways to simplify operations while improving visibility across their portfolios.
WorldVue continues to invest in solutions that help hospitality teams simplify technology operations, improve operational visibility, and better support connected guest experiences across properties.
As hotel technology environments continue to evolve, centralized oversight will play an increasingly important role in supporting efficient operations and long-term performance.
Hospitality organizations looking to simplify technology management across properties should continue to evaluate how greater operational visibility, centralized support workflows, and proactive monitoring can improve efficiency and advance long-term operational goals.
To learn more about how WorldVue supports connected hospitality operations, visit www.worldvue.com/hospitality
Connectivity is no longer just a utility – it’s becoming a key driver of property value, resident experience, and long-term competitiveness. In this three-part series, we’ll break down what’s really behind your building’s network, how different models impact revenue and valuation, and why connectivity is quickly becoming a core resident expectation – not an afterthought. In Part 1, we start with a simple but critical question: what kind of network is actually operating at your property – and who is it really working for?
Reliable Wi-Fi® is no longer a “nice to have” in multi-dwelling units (MDUs). It directly impacts resident satisfaction, leasing renewals, operational efficiency, and long-term property value.
Yet many REITs, property owners and operators don’t actually know what type of connectivity they have deployed or how that decision impacts their business.
These are the two most common Wi-Fi deployment models MDUs deploy:
Understanding the difference is the first step toward making informed decisions about your property’s connectivity strategy.
Retail Wi-Fi is the traditional “consumer” model most MDUs default to. In this approach, an internet service provider (ISP) delivers broadband to the property, and residents subscribe individually. Each unit has its own consumer-grade Wi-Fi router, with residents often responsible for setup, support, and upgrades.
For property owners, retail Wi-Fi often feels like the easy button. The ISPs handle everything, and owners do not get involved. To make the model more appealing, ISPs often offer upfront incentives, called “door fees.” As an example, a 300-unit property may receive $100 or more per unit, resulting in a $30,000 one-time payment at contract signing. For most owners, cold hard cash is hard to ignore.
What’s less apparent are the long-term commitments tied to those incentives. Retail Wi-Fi agreements typically span seven to 10 years, with terms that favor the provider. It’s common for ISPs to retain rights to the fiber coming to the property—even after the contract term ends.
The consequence is a loss of control for property owners. If resident experience declines or service expectations change, then property owners may find themselves unable to switch providers. Over time, the short-term upside of door fees can give way to long-term constraints that limit flexibility and modernization.
Retail Wi-Fi was designed for individual homes, not high-density residential properties.
In MDUs, hundreds of consumer routers compete for the same wireless spectrum, leading to interference, congestion and unreliable performance—especially during peak usage. These issues often surface as dropped connections, buffering and resident complaints.
Retail deployments also deliver fragmented connectivity. Residents may have reliable service inside their unit, but coverage typically falls apart in hallways, amenities, outdoor spaces and parking areas—breaking connectivity as residents move throughout the community.
Operationally, retail Wi-Fi forces owners to support multiple, disconnected networks. Business-critical systems such as property management platforms, access control, security, and smart building technology often require separate networks—increasing cost and complexity.
While retail Wi-Fi may appear simple, its limitations quietly impact resident satisfaction, operational efficiency and the overall perception of the property.
Bulk managed Wi-Fi is a property-wide connectivity model that’s purpose built for multi-dwelling environments.
Instead of hundreds of isolated consumer routers, the entire property operates as one centrally managed network. Enterprise-grade Wi-Fi access points are deployed throughout residences and shared spaces, with performance continuously optimized and monitored.
Residents connect once and stay connected as they move across the property—from their unit to amenity spaces, outdoor areas and common facilities. The network is deployed and operated by a managed service provider, simplifying day-to-day operations while delivering a consistent experience.
Key benefits of bulk managed Wi-Fi include:
The result is a unified, enterprise-grade Wi-Fi experience that aligns with how modern residents live and how modern properties operate.
Bulk managed Wi-Fi is gaining adoption because it aligns with how modern multi-dwelling properties operate.
High-density environments require reliable, property-wide connectivity that consumer Wi-Fi models were never designed to deliver. By operating as a single, centrally managed network, bulk managed Wi-Fi improves performance while supporting the growing digital demands of both residents and property operations.
Key drivers of adoption include:
As connectivity becomes critical to leasing, operations and asset performance, bulk managed Wi-Fi has evolved from an optional upgrade into a core capability for competitive MDUs.
Retail Wi-Fi offers short-term convenience and upfront incentives. Bulk managed Wi-Fi delivers long-term performance, control, and strategic value.
For property owners, the difference is fundamental, not technical. Connectivity now shapes resident satisfaction, operational efficiency, and a property’s ability to compete and evolve.
Knowing which Wi-Fi model is running at your property—and what it enables or limits—is the first step toward aligning connectivity with long-term asset strategy.
This is Part 1 of our three-part MDU Wi-Fi series for REIT and property owners.
Coming next:
Part 2: The Financial Case for Managed Wi-Fi in MDUs: How bulk managed Wi-Fi impacts net operating income (NOI), revenue opportunities, and asset valuation.
Better understand the Wi‑Fi infrastructure running at your property and evaluate modern MDU connectivity approaches, start here.
We’ve spent years celebrating the fibre revolution, and rightly so. The infrastructure investment our industry has made is extraordinary. But as I look at the data we have compiled in our latest report, one truth stands out clearly: fibre gets you to the front door. What happens inside the home is a different challenge entirely.
It is very common for a home to have more than 30 devices connected to Wi-Fi simultaneously: gamers, remote workers, students streaming lectures, smart household devices running in the background and each with different needs. Each competing for performance and yet, most operators have had virtually no visibility into that connected home environment. We call it the “dark home” speeds are top notch, but experience issues happen and subscribers suffer and churn, and many operators can’t see the root cause of the in-home experience issues.
To understand the true scale of this churn caused by bad experience, we commissioned independent consumer research across the US, UK, and Japan, and cross-referenced findings with our own proprietary cloud platform data. The pattern is consistent across every market we studied, but the nuances matter.
Airties’ research shows broadband churn is primarily driven by poor in-home performance, not price: 47% of US churners and 49% of UK churners cited poor overall experience as the main reason for leaving, with 36% (US) and 41% (UK) highlighting specific quality-of-experience issues such as video freezes, slow browsing, and unreliable video calls.
Despite these frustrations, most customers do not switch to save money: 54% in the US and 60% in the UK pay the same or more after switching, while in Japan, around 25% of households are considering switching, with up to 60% of that churn potentially preventable through better quality and support. Overall, the findings underline that churn is largely avoidable and rooted in failure to deliver consistent, reliable home connectivity.
The shift the industry needs is this: Stop measuring experience at the cabinet and start measuring it in the living room. Our AI-Experience Management platform shows device-level insight and improvements and application-level prioritisation based on the needs of the unique household using agentic AI, so the connected home adapts to the needs of the users in real-time.
Subscriber retention is the new growth engine in a mature market, and customer experience is how you earn it. Airties provides insight and action in the home, and we see impressive results with many of our customers. Our platform optimizes the connectivity experience in real time based on the unique digital fingerprint of each connected home. To download the research, go here.
When you’re searching for a match in an online game, you probably don’t think about which server you’ll connect to. However, the game server you’re assigned plays a major role in your connection quality, affecting your ping, latency, and overall gameplay experience.
Unless a game includes an in-built server browser, information about server locations and which server you’ve been connected to is rarely available to players.
Over the years, the team at Netduma has become a leading source for game server location insights through our Geo-Filter and Ping Heatmap features, included with our gaming routers. Using these tools, we’ve created content across our social media channels and blogs so players can easily view server information for supported games.
This content has helped players understand where game servers are located and which servers provide the best connection quality. Along the way, it has also raised many important questions, which we’ll answer throughout this blog.
If you have connection quality metrics like ping and packet loss enabled in your game, you may have noticed that these values vary from match to match. This happens because connecting to different game servers can result in different connection quality depending on the server’s distance from your location.
In general, servers that are geographically closer to you will provide the lowest ping. This is because your game data has a shorter physical distance to travel between your device and the server, reducing delay and improving latency.
The opposite is also true. Connecting to servers that are further away increases delay, resulting in higher ping and worse connection quality. This becomes especially problematic in fast-paced competitive online games, where higher ping can put you at a significant disadvantage.
Server performance and server load can also impact your gameplay experience. During peak hours or after a major game launch or update, servers may experience increased stress, reducing performance and affecting your connection quality. Services such as online game server status trackers and Downdetector can be useful for checking whether your favourite game servers are currently experiencing issues or outages.
You might assume that online games would always prioritise your connection quality when assigning you a server. However, with modern matchmaking systems, that’s not always the case.
When searching for a match, games now factor in a huge range of variables, including your skill level, matchmaking rating, and queue time. These factors often take priority over connection quality because faster matchmaking and balanced lobbies help keep players engaged for longer.
Back in the day, matchmaking was much simpler, and the phrase “ping is king” accurately described the online gaming experience. But with the rise of complex matchmaking systems and engagement-based algorithms, your connection quality can now vary massively between matches.
This creates frustration for many players because performance can suffer when connected to a higher ping server, and overall gameplay quality becomes inconsistent from game to game.
This is exactly why we originally developed our range of gaming routers and advanced connection optimisation features. In the next section, we’ll explain how the Netduma R3’s powerful features can solve these issues.
The best way to consistently play on low ping servers is by using the Netduma Geo-Filter feature. Geo-Filter allows you to force connections to specific servers while blocking high ping or underperforming servers.
The Geo-Filter works by creating a fully customisable filter radius around your location. Using the server location information provided by Ping Heatmap, you can then configure your filter to include only the servers that provide the best connection quality and lowest ping.
Once configured, you’ll only connect to servers within your selected filter radius. You’ll also be able to see which server you’re connecting to and servers being blocked in real time within Geo-Filter interface. This creates a far more consistent online gaming experience, ensuring stable ping and reliable connection quality every match.
If you want to learn more about the setup process or functionality of Geo-Filter, we have full video guide and blog guide resources covering everything the feature can do.
SAN JOSE, Calif., Mar 10, 2026 — Synaptics Incorporated (Nasdaq: SYNA), today announced the SYN765x, an AI-native wireless solution that redefines Edge intelligence. As an industry-leading single-chip device combining AI-optimized compute with integrated Wi-Fi® 7, the SYN765x is designed to bring scalable, real-time intelligence directly to smart appliances, home automation systems, and Industrial IoT (IIoT) applications.
SYN765x integrates Wi-Fi 7, Bluetooth® LE 6.0, and Thread/Zigbee across 2.4, 5, and 6 GHz bands. Dedicated on-chip acceleration supports predefined AI-native control and signal-processing functions, reducing host processor load, while meeting strict latency and power requirements.
Built for high-performance wireless connectivity, the SYN765x pairs essential compute as a convenient, on-chip companion for smart devices at the Edge. Its single-chip integration significantly reduces system space requirements, simplifies design, and offers both engineering flexibility and cost savings.
By bringing advanced Wi-Fi 7 capabilities to low-power designs, SYN765x helps enable lower latency, seamless band switching, fast and secure reconnections, and access to the interference-free 6 GHz spectrum. Until now, power and cost constraints have limited adoption of the latest Wi-Fi standards in embedded systems. This solution meaningfully reduces these barriers, accelerating next-generation Wi-Fi adoption across Edge IoT devices.
The SYN765x also enables advanced wireless sensing, including presence detection, motion tracking, and proximity awareness using standard Wi-Fi and Bluetooth signals. For Wi-Fi sensing, it combines high-accuracy Channel State Information (CSI) extraction with on-device machine learning. This differentiated architecture is designed to deliver high accuracy and reliability, supporting a broader range of sensing use cases compared to other connectivity solutions in its class.
In addition, Bluetooth Channel Sounding enables accurate, power-efficient distance measurements under typical operating conditions — offering an alternative to more expensive technologies such as mmWave radar or ultra-wideband. Integrated logic, DSP, and NPU resources provide a high-performance platform for embedded Edge AI workloads, while AI-driven contextual awareness enhances power efficiency.
The SYN765x supports flexible deployment models. It can operate as a co-processor alongside a host application processor or MCU, or function in standalone and host-less configurations thanks to its generous on-chip memory and processing resources. By eliminating the need for a separate microcontroller in many designs, the SYN765x significantly reduces system complexity and cost—offering a new class of high-performance, battery-powered IoT devices.
“Intelligence at the Edge demands uncompromising wireless performance,” said Vikram Gupta, SVP & GM, Edge Compute & Connectivity Division, Synaptics. “SYN765x extends our leadership in wireless technology by integrating Wi-Fi® 7, BLE, Thread/Zigbee with AI-native processing. This simplifies system design, lowers power and cost barriers, and accelerates adoption of next-generation wireless across consumer, industrial, and enterprise IoT markets.”
SYN765x Features at a Glance:
Global customers and partners count on Synaptics to power the next generation of connected, AI-enabled IoT applications.
Gilles Drieu, Chief Technology Officer, ADT
“Connectivity is at the heart of everything we deliver to our customers. Our partnership with Synaptics enables us to build security solutions that are more reliable, intelligent, and responsive. Their portfolio of connectivity solutions gives us the flexibility and performance we need to design next-generation systems that protect homes more effectively, while remaining simple to deploy and manage.”
Janet Wei, CEO, Ampak
“Synaptics has been a trusted technology partner for many years, and our longstanding collaboration has been instrumental in advancing connectivity solutions across a wide range of applications. Together, we’ve consistently pushed the boundaries of performance, integration, and reliability, enabling customers worldwide to deploy robust, scalable wireless solutions and reinforcing our shared vision for the future of connected devices.”
Spencer Maid, President and CEO, Origin AI
“Synaptics brings world-class AI and connectivity capabilities that perfectly complement Origin’s AI Sensing platform. Together, we’re unlocking powerful new use cases that transform everyday environments into smarter, more adaptive spaces.”
Andrew Zignani, Senior Research Director, ABI Research, Strategic Technologies Team
“Artificial intelligence has been migrating out from data centers throughout the network, and now the Edge is truly ripe for local AI. From factory equipment, where reliability and security are key, to consumer electronics, where price sensitivity and privacy is acute, to wearables, where weight, size, and battery life are critical, Synaptics’ latest offering effectively balances and optimizes computing and reliable, future proof connectivity to better serve the evolving requirements and growing diversity of product types found at the network Edge.”
Mohit Agrawal, Global Practice Head for Edge AI and IoT, Counterpoint Research
“The shift from cloud-centric IoT architectures to real-time Edge intelligence is accelerating, particularly as latency, privacy, and bandwidth efficiency become critical design priorities. Integrating AI acceleration with Wi-Fi 7 on a single SoC represents an important step forward for the AIoT ecosystem. As Wi-Fi 7 adoption expands over the next several years, solutions that tightly couple on-device inference with high-performance connectivity will be well positioned to support next-generation smart home, industrial, and infrastructure applications.”
Availability
The Synaptics SYN765x solution is expected to begin sampling in the second calendar quarter of 2026, with production targeted at the last calendar quarter of 2026. Development kits are expected to be available for sampling in calendar Q2 2026.
GREENSBORO, N.C., May 18, 2026 – Qorvo® (Nasdaq: QRVO), a leading global provider of connectivity and power solutions, today announced a major step forward in making Ultra-Wideband (UWB) real-time location systems (RTLS) deployable at enterprise scale. By combining industry standards including FiRa and Omlox with integration into Wi-Fi enterprise access points (EAPs), Qorvo enables precise, real-time location services without the need for dedicated RTLS infrastructure.
Qorvo addresses key barriers to RTLS adoption, including fragmented systems and the cost and complexity of dedicated anchor networks. By embedding UWB into enterprise Wi-Fi infrastructure, Qorvo enables location services to scale using existing access points and workflows. With over a decade of UWB innovation, the company provides a proven RTLS foundation deployed across healthcare, mining, logistics and automotive manufacturing environments.
“Real-time location has long been limited by infrastructure cost and lack of interoperability,” said Alexis Bizalion, Director of Product Marketing & Enablement at Qorvo. “By bringing standards-based UWB into enterprise Wi-Fi access points, we’re making real-time location a native capability of the network. We’re excited to enable OEMs, system integrators and solution providers to build and deploy RTLS solutions with greater flexibility, lower cost and reduced integration risk.”
A key differentiator is Qorvo’s collaboration with leading enterprise Wi-Fi providers to integrate UWB into access points, transforming Wi-Fi infrastructure into a dual-purpose platform for both connectivity and location services while reducing deployment cost and time to market. The company has achieved multiple industry-first UWB milestones, including:
At the core of this ecosystem is Qorvo’s new QPK3000 module, designed for tags and end devices. It enables interoperable UWB functionality across EAPs, dedicated anchors and other UWB-enabled infrastructure, simplifying development while ensuring compatibility across FiRa- and Omlox-based systems.
Qorvo recently showcased the QPK3000 and its RTLS ecosystem approach at the Wi-Fi NOW UWB Global Summit in Mountain View, CA, highlighting how standards-based UWB is enabling scalable, interoperable RTLS deployments. For more information on UWB RTLS, visit Qorvo’s Real-Time Location Systems (RTLS) page.
About Qorvo
Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers’ most complex technical challenges. Qorvo serves diverse high-growth segments of large global markets, including automotive, consumer, defense & aerospace, industrial & enterprise, infrastructure and mobile. Visit www.qorvo.com to learn how our diverse and innovative team is helping connect, protect and power our planet.
When streaming services like Netflix went mainstream, they didn’t just change how households consumed content. They redefined what “good broadband” actually meant. Networks that delivered Netflix flawlessly became the networks subscribers chose, recommended, and stayed loyal to. Netflix’s own ISP Speed Index became a public scoreboard, and ISP product teams optimized, quite literally, to climb it. Streaming wasn’t just a service riding on top of the network; it became a yardstick for the network itself.
Today, a new yardstick is emerging.
LLMs have been adopted faster than any consumer technology in modern history. ChatGPT became the fastest-growing consumer application ever, reaching 100 million users in two months, a pace UBS analysts called the steepest consumer-internet ramp they had seen in twenty years. And the data we see across Plume-enabled homes confirms the trend hasn’t peaked. It has accelerated. Subscribers aren’t just trying these tools; they are embedding them into how they work, how they think, and increasingly, how they protect their livelihood in a job market being reshaped by AI itself.
At Plume, we are studying how tools like ChatGPT, Claude and Perplexity, and the next wave of agentic assistants like Claude Code and Cowork, are showing up in real homes. What we see is striking.
As of April 2026, more than 1 in 5 active Plume-enabled locations, approximately 22%, show regular AI app traffic on their home Wi-Fi, up from 19% a year ago. That number is intentionally conservative: it captures only what we can see crossing the home network, on the home network. Independent research suggests the broader picture is far larger. Parks Associates reports that 58% of US internet households now use generative AI tools when self-reporting across all devices. In other words, AI in the home has plenty of runway left, and what is happening inside the homes already using it is anything but steady.
Among AI-using households, total data volume tied to AI apps has grown by roughly 2,000% year-on-year. Time spent connected to AI apps, what we measure as “online seconds”, has climbed 364% over the same period, and a further 80% since the start of 2026 alone. Median session length has lengthened by around 30% year-on-year.
The leader is unsurprising: ChatGPT now accounts for roughly 2x the time-on-app of any other AI tool in our footprint, with median sessions approaching 5 minutes. But the fastest movers may be more telling. Perplexity and Claude are the fastest-growing AI apps in both data volume and usage. Microsoft Copilot is currently the slowest-growing of the major players.
These are not quick lookups. Multi-minute, interactive, real-time sessions imply something networks rarely had to optimize for in the chatbot era: sensitivity to latency, jitter and micro-outages, not just peak bandwidth.
The most important signal in our data isn’t how much AI is being used. It is how it is being used. The first wave of consumer LLM adoption was conversational and human-prompted. The second wave, already visible, is agentic: AI tools that run multi-step tasks, call APIs, sync with mailboxes and storage, schedule, monitor, and act semi-autonomously on behalf of the subscriber.
For ISP networks, this is a different beast. Agentic AI introduces persistent background traffic as agents synchronise and monitor outside of active sessions; machine-to-machine and API-heavy patterns as multi-step workflows ripple across dozens of SaaS services; and bursty, recurring workloads triggered by a single user command. Reliability stops being a nice-to-have. When one micro-outage breaks a multi-step automation, the user doesn’t see a buffering icon. They see a failed task. And increasingly, that task is part of how they earn a living.
This is exactly the kind of shift Plume’s AI platform was built to absorb. Our Application Intelligence identifies the most popular LLMs across our global footprint and tracks how subscribers actually use them. Our Behavior Intelligence monitors how the nature of that usage is evolving, from chatbot to autonomous agent, so the network can adapt in real time, not in hindsight.We also make such insights available to our ISPs through API and our Operator Suite so they can also make better decisions on network planning. The AI landscape is moving faster than any consumer category before it. Plume will continue to study LLMs and their evolution into autonomous agents, and to ensure operators on our platform are ready to deliver Quality of Outcome, not just Quality of Experience, for the workflows their subscribers increasingly depend on.
The next Netflix moment isn’t coming. It’s already here.
When we launched CyberSight in March, the goal was clear: close the visibility gap between what DNS logs show and what users actually do. Activity logs, full URL tracking, application usage, device state—the data security teams need but haven’t had from their DNS provider.
With a strong foundation of user behavior data in place, we can now help our customers take visibility to the next level and empower them to make sense of this data faster than ever. Today we’re delivering two new CyberSight capabilities: Threat Trends and Timeline.
Activity logs give you depth but when you’re managing hundreds of users, you need a way to surface what matters without scrolling through individual events. Threat Trends provides that elevated view.
Threat Trends aggregates threat intelligence across your environment to show:
CyberSight Threat Trends dashboard showing top threats and riskiest users
All of this data is exportable via CSV through the API, so if you’re building QBR reports for clients or feeding data into your own workflows, you can pull in what you need.
Before Threat Trends, answering a question like “which threat categories are hitting us hardest this month?” meant manually filtering activity logs, user by user. Now you have a single view that surfaces the signal across your entire environment.
For MSPs, this is especially practical. You can pull up Threat Trends per-organization and immediately see which client environments have the highest concentration of observed threats without building custom reports or switching between tools.
If Threat Trends tells you where to look, Timeline tells you what happened.
Timeline provides an hour-by-hour, chronological reconstruction of user activity within any given time period. It’s built to support you during active investigations when you already know something is wrong and need to understand the sequence of events.
It’s designed to make patterns and anomalies visible at a glance by:
This is where CyberSight goes from a visibility tool to an investigation tool.
Consider the scenario we discussed in this article: A device starts a high-speed upload to cloud storage at 2:00 AM while the user is idle. CyberSight’s activity logs already capture that event. But with the Timeline, you can now reconstruct everything that user’s device was doing in the hours before and after—what applications were open, which websites were visited, when the machine was locked and unlocked, and whether the activity pattern looks like a compromised device or a legitimate process.
Understanding the context of what happened when an alert is triggered is critical for validating real threats. Timeline compresses what used to be a multi-tool, multi-day investigation into something you can walk through in a single view.
A few things worth reiterating since the launch:
Threat Trends and Timeline complete our initial suite of capabilities for CyberSight, all working together to give you a full picture from high-level trends down to granular event forensics.
But we’re not stopping here. Scheduled reports, deeper integration between CyberSight data and the DNS query log, and expanded export capabilities are all in the pipeline. We’ll share more as they ship.
If you’re already a customer, Threat Trends and Timeline are live in your CyberSight dashboard today. Log in and explore.
If you’re not yet using CyberSight, try it for free today.
