Memory prices across DRAM, NAND and HBM have surged 80 to 90% quarter-over-quarter in Q1 2026, according to Counterpoint Research’s latest Memory Price Tracker. The price of a 64GB RDIMM has jumped from a Q4 2025 contract price of $450 to over $900, and Counterpoint expects it to cross $1,000 in Q2.
NAND, relatively stable last quarter, is tracking a parallel increase. Device makers are cutting DRAM content per device, swapping TLC SSDs for cheaper QLC alternatives, and shifting orders from the now-scarce LPDDR4 to LPDDR5 as new entry-level chipsets support the newer standard. DRAM operating margins hit the 60% range in Q4 2025 — the first time conventional DRAM margins surpassed HBM — and Q1 2026 is on track to set all-time highs.
The Paris-based company is building out ‘cutting-edge’ European data centres with a total capacity ambition of 200MW by 2027.
French AI start-up Mistral has raised $830m in its first debt financing, for the purposes of funding its data centre near Paris.
The company said the deal, supported by a consortium of seven “top-tier” global banks, would pay for Nvidia Grace Blackwell infrastructure with 13,800 Nvidia GB300 GPUs at the “cutting-edge” centre, bringing powered capacity to 44MW.
The data centre at Bruyères-le-Châtel, scheduled to be operational in the first half of this year, was previously earmarked to train AI models belonging to Mistral and its customers, while also “delivering high-performance inference services”, according to the company.
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Last month, Mistral said it would spend over $1.4bn in Sweden on digital infrastructure, including a data centre, building towards its stated goal of 200MW of capacity across Europe by 2027.
“Scaling our infrastructure in Europe is critical to empower our customers and to ensure AI innovation and autonomy remain at the heart of Europe,” said Arthur Mensch, CEO of Mistral AI.
“We will continue to invest in this area, given the surging and sustained demand from governments, enterprises and research institutions seeking to build their own customised AI environment, rather than depend on third-party cloud providers.”
Mistral said it is building a “vertically integrated AI company” comprising “frontier open-weight models, deep enterprise integration, production deployments and its own compute infrastructure”.
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It counts organisations in the tech, retail, logistics and public sectors among its customers, and has already partnered with the likes of AMSL, Ericsson and the European Space Agency to train models on their proprietary data.
Earlier this month, Mistral launched both ‘Small 4’, the newest model in its fully open-source ‘Small’ series with an aim of consolidating capabilities of its flagship models, and ‘Forge’, a platform that lets enterprises build custom models trained on their own data.
Last September, the 2023-founded French AI darling announced a Series C raise of around $2bn at a post-money valuation of more than $13bn, led by Dutch chipmaker ASML. Existing investors DST Global, Andreessen Horowitz, Bpifrance, General Catalyst, Index Ventures, Lightspeed and Nvidia took part.
Although a frontrunner in the European AI space, Mistral is far behind US competitors such as OpenAI and Anthropic in terms of funding levels and valuations.
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Mistral is a founding member of the Nvidia Nemotron Coalition. As part of the initiative, Mistral and Nvidia plan to co-develop frontier open-source AI models.
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NASA has awarded Intuitive Machines a $180.4 million contract to deliver seven science payloads to a carefully chosen site near the lunar south pole. The Houston based company will use one of its larger lander configurations for the mission, designated IM-5, with a target landing date of around 2030 at Mons Malapert. The location was selected for good reason. The ridge maintains fairly consistent line of sight with Earth, receives relatively steady sunlight, and sits close to permanently shadowed regions that may hold water ice, a resource that could prove critical to sustaining long term human operations on the Moon.
The lander arrives loaded with instruments ready to start collecting data from the moment it touches down. A stereo camera package developed at NASA’s Langley Research Center, called the Stereo Cameras for Lunar Plume Surface Studies, will capture how the descent engines disturb the fine lunar soil, information that will help engineers design landing systems that cause less disruption to the surface. A near infrared spectrometer mounted on a small rover from Honeybee Robotics, led by NASA’s Ames Research Center, will then scan for minerals and potential ice deposits while also measuring surface temperatures and mapping how the soil composition varies across the landing area.
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A mass spectrometer called MSolo, built at NASA’s Kennedy Space Center, will analyze gases present at the landing site immediately after touchdown, focusing on lightweight molecules that could prove useful for future lunar explorers. Radiation monitoring is handled by a set of four detectors developed by the Korea Astronomy and Space Science Institute, measuring surface exposure levels to assess risks for both equipment and future crew while also providing insight into the geological history of the surrounding area.
A set of small sensors aboard the Australian Space Agency’s Roo-ver will track how landing plumes interact with surface materials across varying distances over time, part of NASA Goddard Space Flight Center’s Multifunctional Nanosensor Platform. The Roo-ver will also demonstrate its ability to navigate and move independently across uneven lunar terrain. A Laser Retroreflector Array, also out of Goddard, rounds out the payload with a compact set of mirrors designed to bounce laser signals back to orbiting spacecraft, improving navigation accuracy for future missions passing overhead or coming in to land nearby and helping establish reliable reference points across the lunar surface.
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Rounding out the cargo is Sanctuary on the Moon, a time capsule developed in France containing information about human civilization, science, technology, culture, and the human genome, etched onto 24 durable synthetic sapphire discs. It is built to last, and designed to be found. [Source]
Google’s new compression drastically shrinks AI memory use while quietly speeding up performance across demanding workloads and modern hardware environments
Google TurboQuant reduces memory strain while maintaining accuracy across demanding workloads
Vector compression reaches new efficiency levels without additional training requirements
Key-value cache bottlenecks remain central to AI system performance limits
Large language models (LLMs) depend heavily on internal memory structures that store intermediate data for rapid reuse during processing.
One of the most critical components is the key-value cache, described as a “high-speed digital cheat sheet” that avoids repeated computation.
This mechanism improves responsiveness, but it also creates a major bottleneck because high-dimensional vectors consume substantial memory resources.
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Memory bottlenecks and scaling pressure
As models scale, this memory demand becomes increasingly difficult to manage without compromising speed or accessibility in modern LLM deployments.
Traditional approaches attempt to reduce this burden through quantization, a method that compresses numerical precision.
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However, these techniques often introduce trade-offs, particularly reduced output quality or additional memory overhead from stored constants.
This tension between efficiency and accuracy remains unresolved in many existing systems that rely on AI tools for large-scale processing.
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Google’s TurboQuant introduces a two-stage process intended to address these long-standing limitations.
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The first stage relies on PolarQuant, which transforms vectors from standard Cartesian coordinates into polar representations.
Instead of storing multiple directional components, the system condenses information into radius and angle values, creating a compact shorthand, reducing the need for repeated normalization steps and limits the overhead that typically accompanies conventional quantization methods.
The second stage applies Quantized Johnson-Lindenstrauss, or QJL, which functions as a corrective layer.
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While PolarQuant handles most of the compression, it can leave small residual errors, as QJL reduces each vector element to a single bit, either positive or negative, while preserving essential relationships between data points.
This additional step refines attention scores, which determine how models prioritize information during processing.
According to reported testing, TurboQuant achieves efficiency gains across several long-context benchmarks using open models.
The system reportedly reduces key-value cache memory usage by a factor of six while maintaining consistent downstream results.
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It also enables quantization to as little as three bits without requiring retraining, which suggests compatibility with existing model architectures.
The reported results also include gains in processing speed, with attention computations running up to eight times faster than standard 32-bit operations on high-end hardware.
These results indicate that compression does not necessarily degrade performance under controlled conditions, although such outcomes depend on benchmark design and evaluation scope.
This system could also lower operation costs by reducing memory demands, while making it easier to deploy models on constrained devices where processing resources remain limited.
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At the same time, freed resources may instead be redirected toward running more complex models, rather than reducing infrastructure demands.
While the reported results appear consistent across multiple tests, they remain tied to specific experimental conditions.
The broader impact will depend on real-world implementation, where variability in workloads and architectures may produce different outcomes.
Steve Wozniak, cofounder, Apple: I told my dad when I was in high school, “I’m going to own a computer someday.” My dad said, “It costs as much as a house.” And I sat there at the table — I remember right where we were sitting — and I said, “I’ll live in an apartment.” I was going to have a computer if it was ever possible. I didn’t need a house.
Woz even remembers trying to build a home computer early on with a teenaged Steve Jobs and Bill Fernandez from rejected parts procured from local electronics companies. Woz designed it — “not from anybody else’s design or from a manual. And Fernandez was one of those kids that could use a soldering iron.” Bill Fernandez: The computer was very basic. It was working, and we were starting to talk about how we could hook a teletype up to it. Mrs. Wozniak called a reporter from the San Jose Mercury, and he came over with a photographer. We set up the computer on the floor of Steve Wozniak’s bedroom.
Well, the core integrated circuit that ran the power supply that I built was an old reject part. We turned on the computer, and the power supply smoked and burnt out the circuitry. So we didn’t get our photos in the paper with an article about the boy geniuses.
But within a few years Jobs and Wozniak both wound up with jobs at local tech companies. Atari cofounder Nolan Bushnell remembers that Steve Jobs “wasn’t a good engineer, but he was a great technician. He was pristine in his ability to solder, which was actually important in those days.” Meanwhile Allen Baum had shared Wozniak’s high school interest in computers, and later got Woz a job working at Hewlett-Packard — where employees were allowed to use stockroom parts for private projects. (“When he needed some parts, even if we didn’t have them, I could order them.”) Baum helped with the Apple I and II, and joined Apple a decade later.
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Wozniak remembers being inspired to build that first Apple I by the local Homebrew Computing Club, people “talking about great things that would happen to society, that we would be able to communicate like we never did [before] and educate in new ways. And being a geek would be important and have value.” And once he’d built his first computer, “I wanted these people to help create the revolution. And so I passed out my designs with no copyright notices — public domain, open source, everything. A couple of other people in the club did build it.”
But Woz and Jobs had even tried pitching the computer as a Hewlett-Packard product, Woz remembers: Steve Wozniak: I showed them what it would cost and how it would work and what it could do with my little demos. They had all the engineering people and the marketing people, and they turned me down. That was the first of five turndowns from Hewlett-Packard. Steve Jobs and I had to go into business on our own.
In the end, Randy Wigginton, Apple employee No. 6 remembers witnessing Jobs, Wozniak, and Ronald Wayne the signing of Apple’s founding contract, “which is pretty funny, because I was 15 at the time.” And it was Allen Baum’s father who gave Wozniak and Jobs the bridge loan to buy the parts they’d need for their first 500 computers.
After all the memories, the article concludes that “Trying to connect every dot between Apple, the tiny, dirt-poor 1970s startup, and Apple, the $3.7 trillion 21st-century global colossus, is impossible.”
But this much is clear: The company has always been at its best when its original quirky humanity and willingness to be an outlier shine through.
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Mark Johnson, Apple employee No. 13: I was in Cupertino just yesterday. It’s totally different. They own Cupertino now.
Jonathan Rotenberg, who cofounded the Boston Computer Society in 1977 at age 13: People want to hate Apple, because it is big and powerful. But Apple has an underlying moral purpose that is immensely deep and expansive…
Mike Markkula, the early retiree from Intel whose guidance and money turned the garage startup into a company: The culture mattered. People were there for the right reasons — to build something transformative — not just to make money. That alignment produced extraordinary results…
Steve Wozniak: Everything you do in life should have some element of joy in it. Even your work should have an element of joy… When you’re about to die, you have certain memories. And for me, it’s not going to be Apple going public or Apple being huge and all that. It’s really going to be stories from the period when humble people spotted something that was interesting and followed it
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I’ll be thinking of that when I die, along with a lot of pranks I played. The important things.
Kandou AI, a Swiss semiconductor company that builds chip-to-chip interconnect technology, has raised $225 million in what it calls a Series A round, led by Maverick Silicon with strategic participation from SoftBank, Synopsys, Cadence Design Systems, and Alchip Technologies. The round values the company at $400 million. The label is worth pausing on: Kandou was founded in 2011 and previously raised more than $163 million across Series B and C rounds under the name Kandou Bus. The “Series A” designation reflects a rebrand and leadership change, not a fresh start.
The company’s new chief executive, Srujan Linga, a former Goldman Sachs managing director, took over in 2025 from founder Amin Shokrollahi, an EPFL professor of mathematics and computer science who invented the core technology. Shokrollahi’s contribution, a signalling method called Chord that sends correlated signals across multiple wires to increase bandwidth by a factor of two to four while halving power consumption, remains the technical foundation. The rebrand to Kandou AI and the repositioning toward artificial intelligence infrastructure is Linga’s doing, and it appears to have worked: the $225 million raise is the largest in the company’s history and brings SoftBank, one of the most aggressive AI infrastructure investors, onto the cap table.
The bet against light
What makes Kandou AI’s position unusual is not the problem it is trying to solve but the material it proposes to solve it with. The AI industry’s interconnect bottleneck is real and well documented. As models scale to hundreds of billions of parameters and training clusters expand to tens of thousands of GPUs, the speed at which data moves between processors and memory has become the binding constraint on performance. At signalling speeds of 224 gigabits per second, traditional copper interconnects consume roughly 30 per cent of total cluster power, with signal degradation so severe that reach is limited to less than a metre without amplification.
The prevailing industry response has been to move to optics. Ayar Labs raised $500 million in March 2026 at a $3.8 billion valuation for its co-packaged optical interconnects. Marvell completed a $3.25 billion acquisition of Celestial AI in February, buying photonic fabric technology that claims 25 times the bandwidth of copper alternatives at a tenth of the latency. The optical interconnect market for AI data centres is projected to grow from $3.75 billion in 2025 to $18.36 billion by 2033.
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Kandou AI is betting that copper is not finished. Its Chord signalling technology, the company claims, can achieve path-to-Shannon-capacity efficiency, reducing power consumption and system costs by a factor of ten while extending copper links to 448 gigabits per second and beyond. If that claim holds, it would mean that the billions being spent on optical interconnect transitions are at least partially premature, and that existing copper infrastructure can be made to work for several more hardware generations at a fraction of the cost.
The composition of the investor syndicate matters more than the headline figure. Synopsys and Cadence are the two dominant providers of electronic design automation tools. Their participation is not purely financial; it signals potential integration of Kandou AI’s serialiser/deserialiser intellectual property into the design flows that chip architects use to build processors and memory controllers. Alchip, a Taiwanese ASIC design services company, provides a path to manufacturing. SoftBank, which has invested more than $100 billion in AI-adjacent companies through its Vision Fund and direct investments, adds the scale capital and the strategic network.
The practical implication is that Kandou AI’s technology could appear inside chips designed by other companies rather than requiring customers to adopt Kandou’s own silicon. This is a licensing and IP model, similar in structure to Arm’s approach in mobile processors, and it is a more capital-efficient path to market dominance than manufacturing and selling chips directly. Whether Kandou can execute on that model with a $400 million valuation and $225 million in fresh capital, against optical competitors valued at ten times as much, is the central question.
The valuation gap
At $400 million, Kandou AI is valued at roughly a tenth of Ayar Labs and an eighth of what Marvell paid for Celestial AI. That gap could reflect market scepticism about copper’s longevity in AI infrastructure, or it could reflect the fact that Kandou’s technology, if it works as claimed, does not require the industry to rip out its existing wiring. Copper is already in every data centre. If Kandou’s signalling technology can make it fast enough for another generation of AI workloads, the adoption curve would be faster and cheaper than an optical transition.
The risk is that “another generation” may not be long enough. AI model sizes and training cluster scales are growing at a pace that consistently outstrips infrastructure predictions. What is adequate at 448 gigabits per second today may be inadequate at the terabit-per-second speeds that next-generation models will demand within two to three years. Optical interconnects, for all their cost and complexity, offer a higher theoretical ceiling.
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Kandou AI’s $225 million buys it time to prove that the ceiling can wait. The company’s 15-year history and the technical credibility of Chord signalling, which has been deployed commercially in consumer electronics since the mid-2010s, lend substance to the bet. But the AI infrastructure market has a pattern of rewarding ambition over incrementalism, and a company arguing that the existing material is good enough faces a harder narrative sell than one promising to replace it entirely. The investors on this round appear to be betting on engineering pragmatism. Whether the market agrees will depend on how quickly the optical transition matures, and whether Kandou’s copper can keep pace with an industry that has shown little interest in waiting for anything.
Meta is preparing to launch two new Ray-Ban smart glasses models designed specifically for prescription wearers, according to a Bloomberg report published on Thursday. The models, codenamed Scriber and Blazer, were first spotted in Federal Communications Commission filings and are expected to reach consumers as early as next week. They do not represent a new generation of hardware. They represent something potentially more important: a distribution strategy.
Prescription eyewear accounts for roughly 69 per cent of the $223 billion global eyewear market. Meta sold more than seven million Ray-Ban and Oakley AI frames in 2025, an impressive figure for a product category that barely existed three years ago, but a rounding error against the estimated 1.5 billion people worldwide who wear corrective lenses. The new models are Meta’s clearest attempt yet to move smart glasses from consumer electronics into mainstream optical retail, where the customers, the margins, and the scale are all substantially larger.
What the new models are, and what they are not
Scriber and Blazer are non-display AI glasses, similar in capability to the existing Ray-Ban Meta line: camera, microphone, speakers, and Meta AI integration, but no screen. Blazer will come in regular and large sizes; Scriber appears to be a single-size offering. Both include Wi-Fi 6 UNII-4 band support, an upgrade over current models, and will ship with charging cases.
The distinction matters because Meta already sells a display-equipped model. The Ray-Ban Meta Display, launched at Connect 2025, includes a full-colour heads-up display, a 12-megapixel camera with 3x zoom, and pairs with a neural wristband that reads muscle signals to navigate the interface. It costs $799. Orion, Meta’s full augmented reality prototype with holographic displays, remains a research project with no consumer launch date.
Scriber and Blazer sit below both in the product hierarchy. Their purpose is not to showcase Meta’s most advanced technology but to put Meta AI into the frames that people already need to buy. The insight behind the move is straightforward: if someone requires prescription lenses and is going to spend several hundred dollars at an optician regardless, the incremental cost of making those lenses smart drops significantly. Mark Zuckerberg made the strategic logic explicit on a recent earnings call, noting that “billions of people wear glasses or contacts for vision correction” and suggesting it is “hard to imagine a world in several years where most glasses that people wear aren’t AI glasses.”
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The EssilorLuxottica question
The prescription pivot also runs directly into the most complex relationship in Meta’s hardware business. EssilorLuxottica, the Franco-Italian conglomerate that owns Ray-Ban, Oakley, LensCrafters, and Sunglass Hut, manufactures all of Meta’s smart glasses and controls the optical retail channel through which the new models will be sold. The partnership has delivered results, but it has also generated friction.
Bloomberg reported in February that the two companies are working through disagreements over pricing and strategy. EssilorLuxottica’s adjusted gross margin fell 2.6 percentage points in 2025 to 60.9 per cent, partly because of the higher component costs that smart glasses require compared with conventional frames. Meta wanted to offer Black Friday discounts in 2023; EssilorLuxottica, which guards its luxury positioning carefully, rejected the idea. The tension is structural: Meta wants to maximise adoption and lock users into its AI ecosystem. EssilorLuxottica wants to protect margins on a product line that is eroding them.
Prescription models could ease that tension. Prescription lenses carry higher retail prices and fatter margins than non-prescription sunglasses. The lens coatings, custom grinding, and fitting appointments that prescription orders require generate additional revenue at every stage of the value chain. If smart glasses move into the prescription channel at scale, the economics improve for EssilorLuxottica even as volumes increase for Meta. The companies are reportedly considering doubling their combined production target to 20 million units per year, up from an estimated 10 million capacity by the end of 2026.
The risks in the optician’s chair
Selling smart glasses through optical retail introduces complications that consumer electronics channels do not. Opticians are trained to fit lenses, not to explain AI assistants, camera privacy settings, or software updates. The customer experience in a LensCrafters is fundamentally different from the experience in a Meta Store or an Apple Store, and the staff training, product support, and return handling required for a connected device are orders of magnitude more complex than for a pair of Wayfarers.
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There is also the legal exposure. Solos Technology filed a patent infringement suit against Meta and EssilorLuxottica in January 2026, claiming that the Ray-Ban Meta line violates several patents covering core smart eyewear technologies and seeking “multiple billions of dollars” in damages. A second patent front, on top of the partnership tension and the margin pressure, adds risk to a product line that Meta is treating as the foundation of its wearable AI strategy.
The smart glasses market itself is growing rapidly, from an estimated $2.5 billion in 2025 to a projected $14.4 billion by 2033 according to Grand View Research, but nearly all of that growth is speculative and dependent on whether consumers will choose connected frames when ordinary ones are cheaper, lighter, and carry no privacy concerns. Meta’s bet is that AI functionality, specifically the ability to ask questions, get real-time information, and interact with digital services without reaching for a phone, will be compelling enough to overcome those objections.
Scriber and Blazer are not the product that will test that bet definitively. They are the product that puts Meta’s AI into opticians’ fitting trays, onto the faces of people who were going to buy new glasses anyway, and into a distribution channel that reaches billions of potential customers. The technology is incremental. The strategic ambition is not.
The TV technology arms race is accelerating in 2026, and RGB MiniLED has quickly emerged as one of the key battlegrounds. Hisense is stepping directly into that fight with its newly announced UR9 RGB MiniLED TV lineup, offered in 65, 75, 85, and 100-inch screen sizes. The move puts it alongside Samsung, TCL, and LG, all of whom are pushing next-generation backlighting systems aimed at improving brightness, color accuracy, and contrast control, right as consumers continue to gravitate toward much larger displays.
That shift in demand is impossible to ignore. Screens that once felt excessive now look like the new normal, especially as prices fall and living rooms evolve into full-time viewing spaces. Hisense is clearly leaning into that trend with the UR9 series, positioning RGB MiniLED as a practical upgrade for buyers who want bigger screens and better performance without stepping into ultra-premium territory.
“The living room has become the social centerpiece of the home, with your screen starring at the center of it all,” said James Fishler, Chief Commercial Officer at Hisense USA. “Nearly 90% of Americans say bold, vibrant color makes them more interested in what they’re watching — and that’s exactly why we built the UR9. As the first to bring RGB MiniLED to market, we’re setting a new standard for color performance in home viewing experiences.”
RGB MiniLED Explained: Why This New Backlight Tech Matters
An RGB MiniLED TV is still an LCD-based display, but it takes miniLED backlighting a step further by using individual red, green, and blue LEDs instead of the traditional white or blue-only LEDs found in most LED and MiniLED TVs. This tri-color backlight structure allows for far more precise control over both brightness and color, rather than relying on filters to shape the image after the fact.
The result is a wider color range, up to full BT.2020 coverage, along with improved contrast and more accurate detail rendering. With Pantone Validated RGB MiniLED color support, the technology is designed to deliver more lifelike images with better separation between light and dark areas, exposing details that conventional LED backlit displays often miss.
Hisense was first to bring RGB MiniLED technology to market, getting out ahead of rivals with a consumer-ready implementation. The UR9 Series represents the next phase of that strategy, expanding the lineup with a broader range of screen sizes aimed at meeting growing demand for larger displays.
Hisense UR9 RGB MiniLED TVs: Key Features, Screen Sizes, and What Sets Them Apart
RGB MiniLED: This is the foundation of the UR9 series. Available in 65, 75, 85, and 100-inch screen sizes, it uses independent red, green, and blue MiniLED light sources to generate color directly, rather than relying on a white backlight and filters. The payoff is more accurate color reproduction, improved contrast, deeper blacks with better shadow detail, and brighter, more controlled highlights.
Hi-View AI Engine RGB: To support the RGB MiniLED backlight system, the UR9 series integrates Hisense’s Hi View AI Engine, which analyzes content in real time and adjusts brightness, contrast, and color temperature on the fly. It can recognize different types of content such as sports, movies, streaming, and gaming and optimize the picture accordingly, reducing the need for constant manual adjustments.
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The 65/75/85-inch Hisense UR9 models all share the same stand.
Obsidian Panel: Hisense’s low reflection screen surface is designed to reduce glare from windows and room lighting while maintaining strong contrast. Dark scenes hold onto their detail and depth even in bright environments, making daytime viewing far less of a compromise.
Up to 5000 Nits Peak Brightness: Combined with the low reflection properties of the Hisense Obsidian Panel, the UR9 series can deliver up to 5000 nits of peak brightness, depending on the model and screen size. This level of light output helps maintain image clarity and impact in bright rooms and daytime viewing conditions.
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AI RGB Light Sensor: This feature automatically adjusts brightness and color temperature based on the lighting in your room, helping the picture stay balanced and natural whether you are watching during the day or at night. It works hand in hand with the UR9’s high light output to keep the image consistent without constant manual adjustment.
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IMAX Enhanced and Filmmaker Mode:IMAX Enhanced support allows the UR9 to deliver optimized picture and DTS audio performance for compatible content, including the correct aspect ratio used in IMAX presentations. Filmmaker Mode takes a different approach by preserving the original aspect ratio, color, frame rate, and sound, ensuring content is presented as the director intended without added processing.
Native 180Hz Game Mode: For gamers, the UR9 series supports a native 180Hz refresh rate, delivering fast, responsive performance with reduced motion blur and input lag. Rapid camera movement, competitive gameplay, and live sports all benefit from sharper detail and smoother motion.
Enhanced Game Bar: Hisense’s Advanced Game Bar provides real time access to key settings such as FPS, VRR, and HDR. It allows for quick adjustments without interrupting gameplay, which is exactly how it should work.
AI Smooth Motion with MEMC: The UR9 also includes AI Smooth Motion along with standard motion estimation and motion compensation processing to reduce blur, judder, and stutter. It can improve clarity across sports, movies, and games, but there is a trade off. For films, it is best to turn it off if you want to preserve a more natural look. Filmmaker Mode handles that automatically and saves you from digging through menus.
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Total HDR Solution: The Hisense UR9 is compatible with advanced HDR formats (Dolby Vision IQ, HDR10+ Adaptive), preserving creative detail and dynamically adjusting brightness based on both content and room lighting.
4K UltraHD Resolution & AI 4K Upscaler: The UR9 Series TVs support 4K UHD native resolution and also support AI 4K upscaling for the best possible image display from lower resolution content.
3x HDMI 2.1: The Hisense UR9 TVs support HDMI 2.1 on all three of their HDMI inputs. For details on what HDMI 2.1 supports, refer to our reference article: WTF is HDMI 2.1?
Wi-Fi 6E: The UR9 Series is equipped with the latest WiFi 6E connectivity, provided you have high-speed broadband access. This provides support for high-resolution streaming, cloud gaming, and multi-device households.
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4.1.2 Multi-Channel Surround & Tuned by Devialet: To provide a good foundation for TV listening, the UR9 incorporates precision-tuned speakers tuned by Devialet that provide layered, multidirectional room-filling audio. Clear Dialogue is supported while effects move naturally around and above you, providing a more natural listening experience. The UR9 series is also Dolby Atmos compatible.
Hi-Concerto: In addition to Devialet tuning, UR9 TVs include Hisense Hi-Concerto. This allows the TV to work in tandem with compatible Hisense soundbars, or the HT Saturn Audio system enables the speakers in both the TV and external audio system to work together. This is similar to Samsung’s Q-Symphony, offering users a more integrated audio setup without needing to disable their TV’s own speakers.
Google TV with Gemini: The UR9 series runs Google TV, bringing together movies, shows, and live TV from your streaming services into a single interface with access to over 10,000 apps. Gemini adds a more conversational layer, allowing users to ask more natural questions and get useful responses, while also helping with voice control and basic automation.
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Backlit Remote: Hisense includes a backlit voice remote with practical touches like a customizable favorite key for quick app access and a Find My Remote function. The backlighting adjusts automatically based on room conditions, making it easier to use in both bright and dark environments.
Minimalist Design: The UR9 features a clean, understated chassis with a slim profile that keeps the focus on the screen. It integrates easily into a range of setups, whether wall mounted or placed on a stand or media console.
Left to right: Hisense UR9 65/75-inch, 85-inch, and 100-inch side views
The Bottom Line
The Hisense UR9 series is one of the first serious attempts to bring RGB MiniLED into a full consumer lineup, not just a limited run of oversized flagship screens. That alone makes it notable. Hisense moved quickly, beating Samsung to market with a broader range of sizes from 65 to 100 inches, and positioned RGB MiniLED as a practical step forward in backlight precision, color performance, and brightness for real world viewing.
But there are tradeoffs. Pricing is aggressive, with the 65 inch model starting at $3,499, and there is no support for HDMI 2.2, which some expected to see at this level. That makes the UR9 feel a bit early adopter focused. Hisense is clearly aware of that, which is why the pre-order promotion matters. Offering a free 55-inch TV alongside the purchase could take some of the sting out of the price and give buyers a reason to jump in sooner rather than later.
The bigger picture is where things get interesting. This puts immediate pressure on Samsung, which has talked up Micro RGB LED but has yet to deliver a full lineup, and leaves the door open for TCL and Sony to respond with their own approaches. The UR9 is not a safe play, but it is a strategic one. If RGB MiniLED delivers on its promise, Hisense just bought itself a head start in what is shaping up to be the next major TV technology fight.
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Availability & Pricing
Pre-orders for the Hisense UR9 RGB MiniLED TV have begun at Hisense and Best Buy as follows:
Pro Tip: Customers who register for pre-order a UR9 Series RGB MiniLED TV between March 26 and April 22 will receive a unique redemption code for a 55-inch Hisense CanvasTV ($687.99 at Amazon) on Hisense with a qualifying purchase. Additional terms and conditions apply.
Hisense Out Host
“Out Host with Hisense” Campaign: Alongside the UR9 pre order launch, Hisense is rolling out its “Out Host with Hisense” campaign, timed with the FIFA World Cup 2026 coming to the United States this summer, where the brand is serving as an official sponsor. The campaign leans into a familiar message for Hisense, focusing on how TVs bring people together at home and anchor shared viewing experiences.
“Out Host with Hisense” highlights different hosting styles and ties them to the brand’s 2026 TV lineup, positioning its products as part of how people gather, watch, and share major moments. As part of the campaign, users can visit the official Hisense site to take a Hosting Style Quiz, identify their hosting persona, and get matched with a recommended TV setup.
Like many others, I first used Instacart during the early days of the pandemic when it was a lifesaver. Literally. As the primary caretaker of my immunocompromised grandmother, I was at a loss for how to do something as simple as feed her without risking dangerous exposure. And although I love delivery from a restaurant, it’s expensive and unhealthy. With Instacart, I was able to get her healthy groceries and favorite comfort foods delivered to us right at home without having to risk exposure.
Even now, post-COVID, Instacart still saves the day for me. I live in Brooklyn, and there are many heavy things I need from the grocery store that I physically can’t haul up and down the subway stairs and throughout the streets. With Instacart, I can have any grocery store of my choosing come to me. Welcome to the future. If you’ve been curious about this grocery delivery service, now is a great time to check it out and save big. If you’re an old stan like me, fear not, we have an Instacart promo code and various deals to slash those grocery bills.
Find the Best Instacart Promo Code for Massive Savings in March 2026
Here’s the best place to find the latest Instacart savings and Instacart discount codes, as we are constantly scouring the web to find things like savings for first-time users, deals on specific items or brands, discounts on Instacart+ memberships, and more. Make sure you check back often, we update these Instacart coupons when we find great new deals and add more when new seasonal deals pop up.
Get Free Delivery on Your First 3 Orders
This deal is so good that I wish I were a new customer. If you’ve never used Instacart, now is a fantastic time to try it out and save massively. Right now, when you sign up for Instacart, you’ll get $0 delivery fees on the first three orders. Depending on your order size and location, that can amount to some serious cash savings. Like other delivery services, you are paying for convenience, and delivery fees can add up fast. To sign up, you’ll just need to enter your email address, set up a profile, and get to shopping! Get free delivery on your first 3 orders today, just make sure you hit that $10 order minimum, and know that some service fees may still apply.
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Claim a $50 Instacart Credit by Applying for the Instacart Mastercard
If you use Instacart as the primary way you get groceries, getting an Instacart Mastercard might be a good idea to help you save even more on the purchases you were already going to make. And right now, you’ll get a $50 Instacart credit, which will be automatically loaded to your account once the card has been approved. With your eligible Mastercard, you’ll get three free months of Instacart+, along with $10 off your second order placed each month.
Snag $10 Off Petco Orders for Your Pets
If you’re already an Instacart member, you can still save. Right now, pet parents don’t have to haul heavy bags of kibble or litter to-and-fro. With this Instacart coupon, you’ll get a $10 discount on orders over $50 from Petco through Instacart. So whether you want to save a trip or save your back, Petco on Instacart can help you get everything from chew toys to treats and litter, delivered to your door with a $10 Instacart discount.
Enjoy $10 Off Walgreens Essentials Delivered Fast
In complete honesty, these days I use Instacart mostly when I’m sick or hungover. Instacart has partnered with Walgreens to deliver essentials like Gatorade, Advil, soup, and whatever else your ailments might call for. Plus, you’ll get a $10 discount on orders over $40 placed at Walgreens through Instacart. Go ahead, stay in bed and let the goodies come to you.
Refer a Friend to Shop & Get a $10 Bonus
If you know someone who hasn’t tried Instacart, now’s a great time to spread the love. When an Instacart customer makes a referral, they can get up to $40 in credits to use across their first two orders, and you’ll get a $10 credit for referring them once their delivery is complete. That’s big savings, and it’s easier than ever to refer. You can refer through text, email, or social media using your personalized referral code or link. Plus, there is no limit to the number of users you can refer to Instacart. To start in-app, tap the Account icon in the upper right corner of the app, tap Refer a friend, and share your referral link via contacts, text, email, social media, or other channels. If you do this on the web, you’ll click the horizontal lines, tap “Invite friends,” and share your referral link or code via contacts, text, email, social media, or other channels to secure the Instacart discount.
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Activate Unlimited Free Delivery With Instacart+ Membership
Having an Instacart+ membership has tons of benefits, including free delivery on orders over $10, $0 delivery fees on eligible restaurant orders over $25, a free Peacock subscription, and access to New York Times Cooking. You can unlock all of these benefits with Instacart+, for $99 per year or $10 per month for unlimited free delivery and other Instacart+ membership perks.
The Wall Street Journal reports that Rivian “just won a yearslong battle with car dealers in Washington state that threatens the model of how cars are sold.”
After fighting to sell its vehicles directly to buyers, Rivian threatened to take its case to voters with a ballot measure to permit direct sales. The dealers blinked. The state’s dealer lobby not only dropped its opposition to a sales loophole for Rivian and rival EV-maker Lucid, but also encouraged lawmakers to approve one. The measure became law this month…
New auto entrants like Rivian, and Tesla before it, have spent years contending with long-established U.S. state laws that require new cars to be sold through independent franchised dealers. The auto startups — typically makers of EVs — argue that they can offer a better experience by selling directly to consumers, much as Apple sells iPhones through its own stores and online. Rivian CEO RJ Scaringe has said the company is committed to direct-only sales because it’s more profitable and gives the company control over how its vehicles are sold, marketed and maintained. The Washington compromise riled traditional automakers, including General Motors, Ford and Toyota, which lobbied against it, arguing it unfairly advantages startups. A trade group representing the automakers called it discriminatory and argued the exception could one day open the door to Chinese EV makers…
German automaker Volkswagen is currently facing several lawsuits from dealers over its plan to sell new Scout vehicles directly to consumers. Dealers say independent franchises are vital to the car-buying process, creating competition between dealerships that keeps prices affordable for consumers, while providing valuable services such as repairs, warranty work and financing… Yet for Washington’s dealers, the prospect of putting franchise laws up for a popular vote laid bare a tough reality: given the choice, many car buyers want the freedom to avoid dealerships. Rivian’s polling, which the company shared with lawmakers, showed nearly 70% of respondents favored allowing direct sales when asked whether they would support manufacturers selling cars directly to consumers…
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The fight comes at a critical time for Rivian, which is launching a new, more affordable SUV in a bid to make consistent profits amid a downturn in U.S. EV sales… Rivian is able to directly sell cars in roughly half of U.S. states, but a number of them limit how many locations the company can operate. They can’t disclose the price, though. For that, customers must go online. The article notes that “Following the win, Rivian executives are eyeing other states that, like Washington, ban direct sales but also allow ballot initiatives: Arkansas, Ohio, Oklahoma, Montana, Nebraska and South Dakota…” It adds that lawmakers (from both parties) in the state of Washington had said “they have long felt pulled between giving consumers more car-buying freedom and protecting dealers, essentially small-business owners who are vital to local economies — and politically powerful.”
But an executive at the Washington State Auto Dealers Association said dealers supported this new law partly because it protects them by barring future automakers from selling directly in the state, and by requiring Rivian and Lucid to adhere to the same regulations that govern how dealers operate.
The garage occupies a weird spot when it comes to a home. Not fully outside and not fully inside, it’s an area that often gets neglected when it comes to cleanliness and organization. We all have visions of our garages as neatly organized spaces where we park our vehicles, keep tools, and work on projects — but reality often gets in the way.
In daily life, garages tend to become a place where random things just pile up, and it doesn’t take long to get to a point where their functionality starts being limited — including situations where a vehicle doesn’t even fit inside anymore. Fortunately, there are many ways to address the garage clutter problem, including purchasable upgrades that can make the workspace more functional. But sometimes decluttering your garage into a functional work and storage space doesn’t require buying anything at all — it simply requires a different mindset. This is where the so-called “Two-Foot Rule” comes in.
Created by organization experts who praise the importance of focusing on the two feet of space that are used most in a given room, the rule can be used in all rooms or areas of a home — and not just for initial decluttering, but for keeping it that way. The Two-Foot Rule can be applied everywhere from kitchen counters to bedroom nightstands, but a cluttered, disorganized garage might just be the best place to use it.
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What is the Two-Foot Rule?
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Decluttering and organizing can be a daunting task, especially in the garage, where things can pile up for months before you get around to it. When you want to clean up, there are some helpful garage lifehacks to clear up space, but the Two-Foot Rule takes a more universal, repeatable approach to organization.
Rather than going for a massive decluttering or organization project, the Two-Foot Rule is about starting small, setting aside the two-foot space that you use most, and starting there. By limiting the focus to one highly used area, the idea is that it’s much more manageable to organize and easier to maintain that organization going forward.
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Experts say this two-foot zone is something that can be double-checked every single day, and if something is out of place, it can be easily put back where it belongs. This hopefully eliminates the possibility of the clutter piling up until it reaches an unmanageable level. While the Two-Foot Rule won’t make every corner of your garage spotless and perfectly organized at once, it could very much improve the areas you use the most.
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The perfect workbench solution?
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Focusing on a specific two-foot zone allows you to determine exactly what you use that area for and focus your efforts on that specific place. Inside a garage, the workbench — or just a small section of the workbench — could be the perfect place to start with the Two-Foot Rule.
It’s easy for tools and other junk to pile up on a workbench after you use them, but with the Two-Foot Rule, you could implement specific solutions for reducing clutter, like workbench-mounted pegboard that easily turns empty wall space into an organized storage space. Working vertically is a key part of the Two-Foot Rule, with the emphasis on using walls or shelving to permanently clear up the surface space you want to use.
Keeping common tools organized ties into another related de-cluttering concept called the Two-Touch Rule, which states that when you use an item, you should only touch it twice — once to use it, and once to put it back. Otherwise, tools and other items are likely to pile up on the workbench until you get around to putting them back, which can be days or weeks later — if ever. If they are stored within easy reach, the easier it is to put them back. The basic premise of the Two-Foot Rule is that it’s manageable and easy to stick with. Plus, if you have good results, there’s no reason it couldn’t be expanded from the workbench to other areas in the garage.
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