101 articles tagged with “hardware”.
Nvidia's RTX Spark N1X, an Arm-based laptop SoC with RTX Blackwell graphics and large unified memory for running local AI models, ships in Windows laptops from six manufacturers.
Meta announced the Muse Spark Open AI model, calling it the most capable US open-weight model to date, and partnered with Apple so it can run on two M5 Ultra Mac Studios using the MLX framework.
NVIDIA is launching RTX Spark, a Windows PC aimed at creators, gamers and AI agents, with partner launch events held worldwide.
Amazon's Bee wearables, which listen to daily conversations to produce summaries and to-dos, are gaining a shopping capability, with two devices priced at $74.99 and $99.99.
Bee, owned by Amazon, released its first new AI devices since acquisition: an updated wearable and a card-sized recorder, starting at $74.99.
The Nordic region, Europe's leader in unicorn startups per capita, is expanding its advanced computing ecosystem in collaboration with NVIDIA.
Startup Ricursive Intelligence is developing AI that designs chips, learns from each iteration, and refines later designs, with the goal of automating and accelerating chip design.
Cerebras CEO Andrew Feldman forecasts a future where personal AI assistants are as common as household appliances, operating partly on local devices and partly in the cloud.
NVIDIA introduces RTX Spark, a superchip-based PC platform offering up to 128GB of unified memory and 1 petaflop of AI compute, with a ready global PC app ecosystem.
At the Open Compute Project Global Summit, NVIDIA announced new partnerships and contributions and opened its Vera Rubin architecture to support scaling AI infrastructure.
Microsoft announced Maia 300, its third-generation in-house AI chip built as its primary AI inference system, with production rollout slated for 2027.
After years of reports about an Apple smart home product, the device reportedly now has a name, HomeView, and a launch date.
A Verge author documents their first attempts at running AI models locally rather than in the cloud, exploring privacy concerns, hardware demands, and whether the effort is worthwhile.
Microsoft disclosed the specs and price of its Surface Laptop Ultra, AI PCs running on Nvidia chips and designed to run AI models and agents.
Microsoft's Surface RTX Spark Dev Box is up for preorder at roughly $6,000, shipping in November, powered by Nvidia's Arm-based RTX Spark platform with 128GB of unified memory.
The Verge argues that AI hardware is pushing the definition of what constitutes a recording, challenging the long-standing assumption that a device with a mic or camera is simply on or off.
GPT-6 Astra Ultrafast, running on NVIDIA Blackwell GPUs, is now available in the OpenAI API and to eligible ChatGPT Work and Codex users, with up to 8x faster token generation than Astra Standard.
Google sent its first advanced chip into orbit as an early step toward space data centers, which could require roughly 1,800 SpaceX Starship launches.
Legato, a hearing tech startup, has launched AI hearing glasses intended to make hearing care more accessible by tackling the cost, comfort, and stigma of traditional hearing aids.
Meta and OpenAI are both pushing into dedicated AI hardware over the next year, betting on software agents to test consumer appetite despite past failures in the category.
AMD has agreed to acquire World Labs, founded by Fei-Fei Li, for $8.2 billion. Li will join AMD as executive vice president and chief scientist.
Meta highlighted its growing line of smart glasses at its Connect event, positioning the wearables as a way to keep consumers connected to the digital world.
Crusoe has abandoned a $1.25 billion plan to use Boom turbines for its AI data centers, with Boom Supersonic's CEO saying the plants are no longer in Crusoe's near-term plans.
Oracle filed a force majeure notice tied to its New Mexico Stargate data center, a move that would permit delayed payments if the facility misses its 2028 target date.
The Verge critiques Nvidia CEO Jensen Huang's comments on AI and climate change from The Ezra Klein Show, characterizing them as accelerationist.
An opinion piece examines privacy concerns after Apple announced Apple Watch features that continuously listen and summarize nearby speech, drawing warnings from experts.
Meta has launched a wearable device designed for its Muse AI agent, enhancing its mobility and interaction.
NVIDIA has launched DSX Ready, a program to qualify power and cooling products designed to fit AI factory computing architectures amid growing infrastructure constraints.
Google is launching the Googlebook, an $899 AI-native laptop that ties its Gemini assistant into core desktop features like the cursor, dictation and widgets.
Huawei is accelerating the launch of its Ascend 960DT AI chip, targeting a Q1 2027 release as it seeks to compete with Nvidia and close China's AI computing gap with the U.S.
Emerald AI, Google and NVIDIA have launched the AI Energy Management Alliance, a coalition focused on data centers that can dynamically manage their electricity consumption.
The AI boom is increasingly a materials challenge, with semiconductors and data centers approaching physical limits in performance, thermal management, efficiency, and reliability.
NVIDIA's Ian Buck spoke on AI factory energy efficiency at the AI Infra Summit, showcasing Vera Rubin and DSX platform advancements centered on tokens per watt.
Perplexity's Portable Computer, a local version of its Computer agent, is now available on Windows and accelerated by NVIDIA RTX, running local models to plan and execute multistep tasks on-device.
Nvidia's Jensen Huang outlines why he expects the company to grow 70% next year and pushes back on claims that its deals are circular.
NVIDIA highlights how robotaxi leaders use its technologies to deploy and scale driverless fleets, in a market projected to reach $400 billion by 2035.
d-Matrix announced it will adopt NVIDIA NVLink Fusion to link its next-generation Raptor XPUs to NVIDIA's scale-up and scale-out networking and MGX rack architecture.
A July 2026 transmission line fault in Ashburn, Virginia dropped more than 3 gigawatts of data center load in seconds, echoing an earlier incident and pointing to grid architecture challenges for AI infrastructure.
Apple announced new Siri Audio Intelligence features and published a document explaining that raw audio is processed in dedicated hardware and not saved or accessible to apps or Apple.
Apple plans to launch Reference Image with the iPhone 18 Pro lineup, using new camera sensors to sign pixel data and create an unalterable reference photo for authentication.
Besxar is building a semiconductor manufacturing facility in orbit, using SpaceX rockets to reach space and return products to Earth.
Microsoft has named its developer-focused Windows experience Project Zenith, built for new devices with 64GB or more of unified memory and preconfigured for local AI model work.
Nvidia announced Personal AI Router (PAIR), free open-source software that discovers and connects compatible PCs on a network to run local AI inference and agentic workflows.
Nvidia is launching its DLSS 5 AI upscaling technology this week for RTX 50-series GPUs and GeForce Now, with NBA 2K27 as the only supported game at release.
Nvidia has invested $3.5 billion in MediaTek, a move seen as part of its plan to stay essential to AI infrastructure as Big Tech companies develop their own AI chips.
The U.S. is increasingly restricting foreign-made drones and robots, while China's scale means the global competition could shift to other markets.
New data center systems reportedly gain efficiency through smarter traffic control rather than relying solely on more processor cycles, extending Nvidia's advantage beyond the GPU.
Lambda secured $1B in private debt to buy Nvidia AI chips and lease them to Microsoft, adding to a series of loans that reflect the high cost of the AI boom.
Amazon plans to add another 2 million Nvidia GPU chips to its data centers over the next two years, citing surging demand and an expanded partnership with Nvidia.
Nvidia is projecting $100 billion in quarterly revenue, a milestone previously reached by Amazon, Apple, and Alphabet, driven by record data center sales.
NVIDIA expands its NVLink Fusion platform with NVHBM custom high-bandwidth memory, targeting the infrastructure demands of AI agents and trillion-parameter workloads.
OpenAI's Jalapeño chip, designed for fast inference at scale, outperformed current state-of-the-art on tokens per user and throughput per kilowatt in SemiAnalysis' InferenceX benchmark.
OpenAI says its Jalapeño chip, an ASIC built with Broadcom for AI inference, delivers lower latency and higher throughput than rival systems.
OpenAI's CFO describes how progress across chips, compute, models, and products compounds to deliver more useful intelligence at larger scale and lower cost.
NVIDIA describes AI factories as full-scale infrastructure whose value is measured by delivered output metrics, and considers how custom XPUs fit into that model.
NVIDIA announced an extension of its Vera Rubin NVL72 rack-scale system aimed at faster token generation for agentic AI systems, stressing coordination across all layers of the AI factory.
Nvidia has partnered with data center developer Cloverleaf, extending its ongoing investment in data center development.
As spending on data centers and GPUs surges, a startup is tackling the lack of a standard way to price AI compute or hedge against price changes.
TerraPower's nuclear power plant reportedly holds a strategic advantage over competitors as it pursues deals to power AI data centers.
Nvidia and firms including Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR are assembling $500 billion in financing to frame compute as a new asset class, a claim The Verge scrutinizes.
Relativity Networks secured $22 million to deploy hollow-core fiber, a rarely used technology it says transmits data 30% faster than conventional fiber, in data centers.
NVIDIA frames AI factories as the defining infrastructure of the AI era, requiring advanced chips, packaging, memory, networking, plus land and power.
A new forecast suggests natural gas prices could triple in some U.S. regions, potentially leaving hyperscalers with large bills to power their AI data centers.
OpenAI is previewing Ultrafast, an API service tier that runs GPT-5.6 Sol up to 14x faster, reaching up to 750 output tokens per second using Cerebras hardware.
NVIDIA announced partnerships with six major financial firms to create independent financing platforms aimed at mobilizing over $500 billion in third-party capital for AI infrastructure buildout.
NVIDIA outlines why scaling AI compute requires rethinking power delivery, noting that the challenge lies in how electricity moves from the grid to the GPU, not just total wattage.
In a Decoder interview, Bose CEO Lila Snyder describes the company's transformation into a B2B technology licensor and reflects on AI wearables and a disrupted headphones market.
Discovered Materials secured $9 million in funding to support its search for new materials intended to enable more efficient chips.
Firebird, an emerging AI cloud, has launched what it describes as the CIS region's largest AI factory in Armenia, using NVIDIA accelerated computing and Dell high-performance infrastructure.
Anthropic, the maker of Claude, is building a team to design its own custom AI chips, aiming to co-design hardware and models for improved speed and efficiency.
AMD reported that AI-driven demand more than doubled its data center revenue to $5.8 billion, while gaming hardware sales slowed due to price hikes and component shortages.
NVIDIA highlights how growing AI demands push datasets and context windows past system memory, requiring efficient, secure storage architectures rather than added capacity alone.
SpaceX is constructing a new power plant to supply xAI's Colossus data centers, while unpermitted turbines will remain in place for many more months.
Friend has relaunched its AI pendant, adding a speaker so the device can talk aloud rather than only messaging back, now sold at double the previous price.
A Hugging Face Blog post addresses GPU management, framing idle GPUs as a costly problem akin to grounded aircraft.
Grid operators may impose temporary power cuts on data centers to prevent blackouts on the largest US grid, as rapid data center construction strains power supply.
MIT Technology Review reports that engineers at Samsung's semiconductor division are increasingly applying to work for its South Korean rival SK Hynix.
TechCrunch Disrupt 2026 has unveiled a first look at its Smart Systems Stage agenda, focused on energy, infrastructure, and technology, including AI's growing strain on the grid.
Safe Superintelligence, founded by Ilya Sutskever, announced a long-term partnership with Nvidia to scale its AI research as it enters a new phase after two years in stealth.
NVIDIA is working with Cadence and Synopsys to optimize electronic design automation applications for its Vera CPU, which it is deploying to accelerate chip design.
A close call from a fallen power line in Northern Virginia highlighted weaknesses in how data centers respond to grid disruptions, with a look at potential fixes.
South Korea's president and top business and research leaders met with NVIDIA and ecosystem partners at an AI Summit in San Francisco to advance the country's AI development.
AMD introduced Helios, a rack-scale AI system that the company says will begin shipping to customers later this year, in a challenge to rival Nvidia.
Samsung has shown its upcoming AI smart glasses in person, unveiling two new designs and initial specs including 9-hour battery life, with a fall launch planned.
Wistron opened its first U.S. manufacturing plant in Fort Worth, Texas — a 324,000-square-foot greenfield facility producing superchips used in NVIDIA AI systems.
A projection indicates data centers could quadruple their electricity consumption by 2035, with new facilities built through 2033 potentially using as much power as India does today.
NVIDIA's Vera Rubin is moving into production, with NVL72 racks deployed at major cloud partners and backed by a supply chain spanning over 350 factory sites in 30 countries.
NVIDIA has announced Spectrum-6, a networking milestone built for Vera Rubin and aimed at gigascale AI factories connecting hundreds of thousands of GPUs and CPUs.
Halliday's second-generation smart glasses replace the criticized movable display window from the original with a more conventional design that a reviewer found improved.
Bristol Myers Squibb announced it will deploy a second NVIDIA DGX SuperPOD, built on NVIDIA Vera Rubin, to expand one of the largest AI clusters in life sciences.
Vertu is positioning a $6,880 luxury foldable phone with a built-in AI agent for executives. A hands-on review examines its AI workflows, battery life, and security.
A memory crunch tied to the AI boom is affecting India's smartphone market, with impacts on pricing, demand, and corporate strategy.
NVIDIA's Vera Rubin is positioned to reduce cost per token for post-training workloads through codesign, maximizing intelligence per dollar for agentic AI.
A $400 million chip-backed loan highlights a move by early GPU financiers toward inference chips as part of the next wave of AI infrastructure financing.
NVIDIA unveiled the T3000 and T2000 modules based on its Thor architecture, aimed at bringing compact, power-efficient AI computing to mass-market robotics and edge AI.
OpenAI has released a $230 light-up keyboard built to pair with its agentic coding app Codex, launched during an ongoing legal dispute with Apple over hardware trade theft allegations.
NVIDIA and partners in Japan are highlighting the latest full-stack AI and robotics advancements across industries this week.
NVIDIA frames performance per watt as the defining efficiency metric for AI infrastructure, arguing power is the main constraint on how many tokens an AI factory can generate.
Apple's shelved self-driving car project drove the creation of the Neural Engine, the on-device AI processor first shipped in the iPhone X and A11 Bionic.
The Verge's Stepback newsletter looks at rising community resistance to AI data centers, tracing current disputes back to early opposition to an Apple data center in Ireland.
Modern AI runs on a scarce resource: specialized compute. This feature unpacks why GPUs became the bottleneck, why everyone is building custom chips, and what it means for the balance of power in AI.