consumer hardware

Tech companies are competing to develop dedicated hardware for artificial intelligence, and Meta believes it has produced a winning device. NPR reports on the race, noting that Meta considers its offering a standout in a crowded field where rivals are also rushing to ship AI-focused gadgets to consumers.

Car manufacturers with spare factory capacity are turning to defence work as a source of new revenue, with idle plants and underused pickup production lines being considered for military contracts. The move reflects growing defence budgets and weak demand in some consumer vehicle segments, prompting automakers to explore supplying military hardware and components.

Apple has started offering a lease program covering iPhones and other devices, according to Scripps News. The move would let customers pay monthly to use Apple hardware rather than buying it outright, adding a new option alongside existing installment plans and trade-in offers. Details on pricing, availability and lease terms have not been widely reported yet.

Apple is developing smart glasses that will launch without a display, according to a new report from RBC-Ukraine. The report also outlines a timeline for when the device is expected to reach consumers. The news has drawn attention as Apple continues to expand beyond the iPhone, with observers noting the decision may reflect current technical limits on integrating displays into lightweight eyewear.

Meta has introduced Muse, a new AI agent that pairs customisable avatars with a small handheld charm device and tools aimed at handling everyday tasks. The announcement is being read as the latest step in Mark Zuckerberg's broader AI vision for the company, with coverage explaining what the agent can do and how it fits into Meta's consumer hardware and assistant strategy.

Meta has launched a $1,300 pair of VR glasses that shift the company's focus from productivity and gaming tools toward entertainment as the core product experience. The high-end headset positions immersive viewing, media and leisure as the main selling point, sparking discussion about whether premium pricing can win mainstream consumers and what it signals about Meta's broader hardware ambitions.

A new open-source project called Strata claims it can run Alibaba's Qwen 3.8 Flash Next, a 125-billion-parameter model, on a single consumer RTX 4090 graphics card at roughly 100 tokens per second. If the benchmarks hold up, it would make a frontier-class large language model practical on gaming-grade hardware without a data centre, which is why developers are scrutinising the code and debating how the performance is achieved.

A new wave of AI-powered devices is hitting the consumer market, ranging from small wearable "charms" to reimagined smart speakers. The products aim to embed artificial intelligence assistants into everyday objects, moving beyond smartphones. Coverage highlights both the ambition of these designs and questions over whether consumers are actually ready to adopt dedicated AI hardware.

Sony will not take part in CES 2027, with reports saying the company is shifting its priorities toward entertainment content rather than the hardware showcases the trade show is known for. The move marks a notable departure from one of the tech industry's biggest stages and fits Sony's broader emphasis on games, music, film and other media businesses.

Meta has unveiled Muse Charm, a pocket-sized device built around its AI assistant. The gadget marks Meta's continued push to move its AI assistant beyond phones and into dedicated hardware, following its AI-enabled glasses line. Details on pricing, availability and full specifications were not included in the initial announcement, leaving industry watchers waiting for more information about how the device will compete in the emerging market for standalone AI gadgets.

Hackaday has published a new article looking at running AI directly on gaming PCs, focusing on the hardware side of the topic. The piece examines how consumer graphics cards and local machines can be used for AI workloads, a subject of growing interest among hobbyists and PC enthusiasts discussing local AI setups.

Meta is pushing its Muse technology as a feature it wants built into future consumer gadgets, according to TechCrunch. Beyond the headline, no further details about which devices, partners, or timeline are given, and there is no wider discussion yet. The story suggests Meta aims to embed this technology across a range of upcoming hardware products.

Google has rolled out a Health update that expands the fitness tracking capabilities of its Pixel Watch. The update adds broader health and activity monitoring features, strengthening the watch's position in the wearable fitness market as Google continues building out its hardware and health services ecosystem alongside Fitbit integration.

A GitHub project called Strata claims it can run the Qwen 3.8 Flash Next 125-billion-parameter model on a single consumer RTX 4090 GPU at roughly 100 tokens per second. The claim is drawing attention from developers on Hacker News, where it has collected 15 points and a handful of comments, with discussion focused on whether such speed and memory efficiency on consumer hardware is realistic.

Apple has announced the rollout timeline for its latest products and software, including a new pair of iPhones and expanded artificial intelligence features. Coverage is focused on when each announcement will actually reach consumers, laying out the dates for hardware launches and AI availability across devices.

A developer reports using an iPhone as a second GPU alongside a MacBook, claiming 29–44% faster prefill times when running the Qwen 27B language model. The setup exploits Apple's unified memory architecture to pool compute across devices. The claim is drawing attention from people interested in running large language models locally on consumer Apple hardware.

Tech commentators are explaining that battery capacity and battery life are not the same thing. A large capacity figure, measured in mAh or Wh, does not guarantee longer runtime, since software efficiency, screen use and hardware demands also determine how long a device lasts. The discussion aims to clear up a common confusion for buyers comparing phones, laptops and other gadgets.

Electronics retailer Micro Center is now requiring customers to show photo ID and sign a declaration pledging that Nvidia's RTX 5090 graphics cards will remain installed in the United States and not be exported. Buyers must disclose where the GPU will be used. The measures are reportedly tied to US export restrictions covering the high-end chip, and the policy is drawing wide attention among PC hardware enthusiasts.

Commentary from CNET argues that innovative smartphone features — such as motorized robot cameras and secondary rear displays — are launching in China while buyers elsewhere miss out. The piece laments that experimental hardware from Chinese makers rarely reaches Western markets, leaving global consumers asking when these cutting-edge designs will travel beyond China.

Meta is releasing the code for its Muse technology for free, aiming to get the AI assistant embedded in a wide range of consumer devices, from televisions to household appliances. The move positions Muse as a building block for third-party gadget makers rather than a feature locked to Meta's own hardware. Tech commentators are weighing what open-sourcing the software means for competition in the AI device market.

A developer reports enabling multi-token prediction (MTP) on an RTX 3090 graphics card raised local LLM generation throughput, while questioning whether the speedup affects coding quality. The write-up, originally published on a personal blog, has drawn attention from AI and open-source software communities interested in getting more performance from consumer GPUs for running large language models locally.

Meta is releasing code that lets people build their own AI-powered gadgets, according to Gulf News. The move signals the company's push to put AI hardware development in the hands of everyday builders and developers rather than keeping it in-house. Details on which products or tools are covered were not provided in the report.

Tech companies including OpenAI and Meta are developing small AI agent devices designed as persistent, pet-like companions, according to The Verge. The piece describes a coming wave of hardware where AI assistants behave like Tamagotchis, the virtual pets of the 1990s, staying with users and developing ongoing relationships rather than answering one-off queries.

Meta has released the code behind its Muse AI gadgets as open source, letting anyone build their own home AI devices. The move, reported by The Verge, is drawing attention among developers and hobbyists interested in creating custom AI-powered hardware for the home using Meta's software.

AI agents are consuming roughly five times more tokens than human users, a figure projected to reach 10x as agentic workflows proliferate. Much of that usage comes from agents repeatedly rereading content they have already processed, driving explosive growth in cached prompts and KV cache memory requirements. The surge is raising alarms about RAM demand, which was already under strain, and could intensify memory shortages across the AI infrastructure industry.

Strata, a new tool for running large language models locally, reportedly enables a 125-billion-parameter AI model to operate on consumer gaming PCs. The claims are drawing attention from enthusiasts interested in running powerful AI without cloud services or expensive data-center hardware, though independent benchmarks and hardware requirements have not yet been widely confirmed.

Meta has launched Muse, a new tool designed to help users create their own AI-powered gadgets. The announcement puts the company in the growing market for accessible AI hardware development, letting individuals design and build devices using Meta's AI technology. Details on features and availability remain limited, but the move signals Meta's continued push to expand its AI ecosystem beyond apps and social platforms into hardware.

Austrian cooling specialist Noctua says it wants to adapt server-grade cooling capable of handling 2000W thermal loads for desktop computers. The move targets next-generation CPUs and GPUs whose power draw keeps climbing, as consumer hardware increasingly borrows thermal solutions once reserved for data centers. PC enthusiasts are watching closely to see what form the design will take.