Pictured above: A dining room in Dallas, Texas, designed by Studio Thomas James.As you design (or redesign) a room at home, you may have specific ideas about the paint color, furniture placement, and even the lighting scheme your space requires to truly sing. But, if you're not also considering what type of rug will ground the entire look, this essential room-finishing touch may end up feeling like an afterthought. After all, one of the best ways to ensure your space looks expertly planned from top to bottom is to opt for a rug that can anchor the whole space—and, in many cases, that means a maximalist rug.A maximalist-style rug, or one that has a bold color, an abstract or asymmetrical pattern, an organic shape, distinctive pile texture, or unconventional application (such as functioning as a wall mural), offers a fresh answer to the perpetual design question, "What is this room missing?" Instead of defaulting to a neutral-colored, low-pile rug that goes largely unnoticed, a compelling case can be made for choosing a design that functions more as a tactile piece of art. Asha Chaudhary, the CEO of Jaipur, India-based rug brand Jaipur Living, has noticed many consumers moving away from "safe" interiors and embracing designs that pop with personality. "There’s a growing desire to design with individuality and soul. A vibrant or highly detailed rug can instantly transform a space by adding movement, contrast, and character, all in one single piece," she says.Ahead, we spoke to Chaudhary to get her essential tips for choosing the right maximalist rug for your design style, how to evaluate the construction of a piece, and even why you should think outside the box when it comes to the standard area rug shape. Turns out, this foundational mainstay can be a deeply personal expression of identity.Related StoriesWhen a Maximalist Rug Makes SenseJohn MerklAn outdoor lounge in Healdsburg, California, designed by Sheldon Harte.As you might imagine, integrating a maximalist rug into an existing aesthetic isn't about making a one-to-one swap. You'll want to refine your overall approach and potentially tweak elements of the room already in place, too."I like to think about rugs this way: Sometimes they play a supporting role, and other times, they’re the hero of the room," Chaudhary says. "Statement rugs are designed to stand out. They tell stories, stir emotion, and ground a space the way a bold piece of art would."In Chaudhary's work with interior designers who are selecting rugs for clients' high-end homes, she's noticed that tastes have recently swung toward a more maximalist ethos."Designers are leaning into expression and individuality," she says. "There’s growing interest in bold patterns, asymmetry, and designs that reflect the hand of the maker. Color-wise, we’re seeing more adventurous palettes: think jades, bordeauxes, and terracottas. And there’s a strong desire for rugs that feel personal, like they carry a story or a memory." Jaipur LivingJaipur Living’s Manchaha rugs are one-of-a-kind, hand-knotted pieces woven from upcycled hand-spun yarn that follow a freeform design of the artisan’s choosing.Jaipur LivingJaipur Living is uniquely positioned to fulfill the need for one-of-a-kind rugs that are not just visually striking within a space, but deeply meaningful as well. The brand's Manchaha collection (meaning “expression of my heart” in Hindi) comprises rugs made of upcycled yarn, each hand-knotted by rural Indian artisans in freeform shapes that capture the imagination."Each piece is designed from the heart of the artisan, with no predetermined pattern, just emotion, inspiration, and memory woven together by hand. What excites me most is this shift away from perfection and toward beauty that feels lived-in, layered, and real," she adds.There’s a strong desire for rugs that feel personal, like they carry a story or a memory.Related StoryHow to Choose the Right Maximalist RugBrittany AmbridgeDesign firm Drake/Anderson reimagined this Greenwich, Connecticut, living room. Good news for those who are taking a slow-decorating approach with their home: Finding the right maximalist rug for your space means looking at the big picture first."Most shoppers start with size and color, but the first question should really be, 'How will this space be used?' That answer guides everything—material, construction, and investment," says Chaudhary.Are you styling an off-limits living room or a lively family den where guests may occasionally wander in with shoes on? In considering your materials, you may want to opt for a performance-fabric rug for areas subject to frequent wear and tear, but Chaudhary has a clear favorite for nearly all other spaces. "Wool is the gold standard. It’s naturally resilient, stain-resistant, and has excellent bounce-back, meaning it recovers well from foot traffic and furniture impressions," she says. "It’s also moisture-wicking and insulating, making it an ideal choice for both comfort and durability."As far as construction goes, Chaudhary breaks down the most widely available options on the market: A hand-knotted rug, crafted by tying individual knots, is the most durable construction and can last decades, even with daily use.Hand-tufted rugs offer a beautiful look at a more accessible price point, but typically won’t have the same lifespan. Power-loomed rugs can be a great solution for high-traffic areas when made with quality materials. Though they fall at the higher end of the price spectrum, hand-knotted rugs aren't meant to be untouchable—after all, their quality construction helps ensure that they can stand up to minor mishaps in day-to-day living. This can shift your appreciation of a rug from a humble underfoot accent to a long-lasting art piece worthy of care and intentional restoration when the time comes. "Understanding these distinctions helps consumers make smarter, more lasting investments for their homes," Chaudhary says. Related StoryOpting for Unconventional Applications Lesley UnruhSarah Vaile designed this vibrant vestibule in Chicago, Illinois.Maximalist rugs encompass an impressively broad category, and even if you already have an area rug rolled out that you're happy with, there are alternative shapes you can choose, or ways in which they can imbue creative expression far beyond the floor."I’ve seen some incredibly beautiful applications of rugs as wall art. Especially when it comes to smaller or one-of-a-kind pieces, hanging them allows people to appreciate the detail, texture, and artistry at eye level," says Chaudhary. "Some designers have also used narrow runners as table coverings or layered over larger textiles for added dimension."Another interesting facet of maximalist rugs is that you can think outside the rectangle in terms of silhouette."We’re seeing more interest in irregular rug shapes, think soft ovals, curves, even asymmetrical outlines," says Chaudhary. "Clients are designing with more fluidity and movement in mind, especially in open-plan spaces. Extra-long runners, oversized circles, and multi-shape layouts are also trending."Ultimately, the best maximalist rug for you is one that meets your home's needs while highlighting your personal style. In spaces where dramatic light fixtures or punchy paint colors aren't practical or allowed (in the case of renters), a statement-making rug is the ideal solution. While trends will continue to evolve, honing in on a unique—even tailor-made—design will help ensure aesthetic longevity. Follow House Beautiful on Instagram and TikTok.

Generative AI has reshaped how people create, imagine and interact with digital content. As AI models continue to grow in capability and complexity, they require more VRAM, or video random access memory. The base Stable Diffusion 3.5 Large model, for example, uses over 18GB of VRAM — limiting the number of systems that can run it well. By applying quantization to the model, noncritical layers can be removed or run with lower precision. NVIDIA GeForce RTX 40 Series and the Ada Lovelace generation of NVIDIA RTX PRO GPUs support FP8 quantization to help run these quantized models, and the latest-generation NVIDIA Blackwell GPUs also add support for FP4. NVIDIA collaborated with Stability AI to quantize its latest model, Stable Diffusion (SD) 3.5 Large, to FP8 — reducing VRAM consumption by 40%. Further optimizations to SD3.5 Large and Medium with the NVIDIA TensorRT software development kit (SDK) double performance. In addition, TensorRT has been reimagined for RTX AI PCs, combining its industry-leading performance with just-in-time (JIT), on-device engine building and an 8x smaller package size for seamless AI deployment to more than 100 million RTX AI PCs. TensorRT for RTX is now available as a standalone SDK for developers. RTX-Accelerated AI NVIDIA and Stability AI are boosting the performance and reducing the VRAM requirements of Stable Diffusion 3.5, one of the world’s most popular AI image models. With NVIDIA TensorRT acceleration and quantization, users can now generate and edit images faster and more efficiently on NVIDIA RTX GPUs. Stable Diffusion 3.5 quantized FP8 (right) generates images in half the time with similar quality as FP16 (left). Prompt: A serene mountain lake at sunrise, crystal clear water reflecting snow-capped peaks, lush pine trees along the shore, soft morning mist, photorealistic, vibrant colors, high resolution. To address the VRAM limitations of SD3.5 Large, the model was quantized with TensorRT to FP8, reducing the VRAM requirement by 40% to 11GB. This means five GeForce RTX 50 Series GPUs can run the model from memory instead of just one. SD3.5 Large and Medium models were also optimized with TensorRT, an AI backend for taking full advantage of Tensor Cores. TensorRT optimizes a model’s weights and graph — the instructions on how to run a model — specifically for RTX GPUs. FP8 TensorRT boosts SD3.5 Large performance by 2.3x vs. BF16 PyTorch, with 40% less memory use. For SD3.5 Medium, BF16 TensorRT delivers a 1.7x speedup. Combined, FP8 TensorRT delivers a 2.3x performance boost on SD3.5 Large compared with running the original models in BF16 PyTorch, while using 40% less memory. And in SD3.5 Medium, BF16 TensorRT provides a 1.7x performance increase compared with BF16 PyTorch. The optimized models are now available on Stability AI’s Hugging Face page. NVIDIA and Stability AI are also collaborating to release SD3.5 as an NVIDIA NIM microservice, making it easier for creators and developers to access and deploy the model for a wide range of applications. The NIM microservice is expected to be released in July. TensorRT for RTX SDK Released Announced at Microsoft Build — and already available as part of the new Windows ML framework in preview — TensorRT for RTX is now available as a standalone SDK for developers. Previously, developers needed to pre-generate and package TensorRT engines for each class of GPU — a process that would yield GPU-specific optimizations but required significant time. With the new version of TensorRT, developers can create a generic TensorRT engine that’s optimized on device in seconds. This JIT compilation approach can be done in the background during installation or when they first use the feature. The easy-to-integrate SDK is now 8x smaller and can be invoked through Windows ML — Microsoft’s new AI inference backend in Windows. Developers can download the new standalone SDK from the NVIDIA Developer page or test it in the Windows ML preview. For more details, read this NVIDIA technical blog and this Microsoft Build recap. Join NVIDIA at GTC Paris At NVIDIA GTC Paris at VivaTech — Europe’s biggest startup and tech event — NVIDIA founder and CEO Jensen Huang yesterday delivered a keynote address on the latest breakthroughs in cloud AI infrastructure, agentic AI and physical AI. Watch a replay. GTC Paris runs through Thursday, June 12, with hands-on demos and sessions led by industry leaders. Whether attending in person or joining online, there’s still plenty to explore at the event. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information.

Artificial intelligence is already rewriting the rules of wireless and telecom — powering predictive maintenance, streamlining network operations, and enabling more innovative services. As AI scales, the disruption will be faster, deeper, and harder to reverse than any prior shift in the industry. Compared to the sweeping changes AI is set to unleash, past telecom innovations look incremental. AI is redefining how networks operate, services are delivered, and data is secured — across every device and digital touchpoint. AI Is Reshaping Wireless Networks Already Artificial intelligence is already transforming wireless through smarter private networks, fixed wireless access (FWA), and intelligent automation across the stack. AI detects and resolves network issues before they impact service, improving uptime and customer satisfaction. It’s also opening the door to entirely new revenue streams and business models. Each wireless generation brought new capabilities. AI, however, marks a more profound shift — networks that think, respond, and evolve in real time. AI Acceleration Will Outpace Past Tech Shifts Many may underestimate the speed and magnitude of AI-driven change. The shift from traditional voice and data systems to AI-driven network intelligence is already underway. Although predictions abound, the true scope remains unclear. It’s tempting to assume we understand AI’s trajectory, but history suggests otherwise. Today, AI is already automating maintenance and optimizing performance without user disruption. The technologies we’ll rely on in the near future may still be on the drawing board. Few predicted that smartphones would emerge from analog beginnings—a reminder of how quickly foundational technologies can be reimagined. History shows that disruptive technologies rarely follow predictable paths — and AI is no exception. It’s already upending business models across industries. Technological shifts bring both new opportunities and complex trade-offs. AI Disruption Will Move Faster Than Ever The same cycle of reinvention is happening now — but with AI, it’s moving at unprecedented speed. Despite all the discussion, many still treat AI as a future concern — yet the shift is already well underway. As with every major technological leap, there will be gains and losses. The AI transition brings clear trade-offs: efficiency and innovation on one side, job displacement, and privacy erosion on the other. Unlike past tech waves that unfolded over decades, the AI shift will reshape industries in just a few years — and that change wave will only continue to move forward. AI Will Reshape All Sectors and Companies This shift will unfold faster than most organizations or individuals are prepared to handle. Today’s industries will likely look very different tomorrow. Entirely new sectors will emerge as legacy models become obsolete — redefining market leadership across industries. Telecom’s past holds a clear warning: market dominance can vanish quickly when companies ignore disruption. Eventually, the Baby Bells moved into long-distance service, while AT&T remained barred from selling local access — undermining its advantage. As the market shifted and competitors gained ground, AT&T lost its dominance and became vulnerable enough that SBC, a former regional Bell, acquired it and took on its name. It’s a case study of how incumbents fall when they fail to adapt — precisely the kind of pressure AI is now exerting across industries. SBC’s acquisition of AT&T flipped the power dynamic — proof that size doesn’t protect against disruption. The once-crowded telecom field has consolidated into just a few dominant players — each facing new threats from AI-native challengers. Legacy telecom models are being steadily displaced by faster, more flexible wireless, broadband, and streaming alternatives. No Industry Is Immune From AI Disruption AI will accelerate the next wave of industrial evolution — bringing innovations and consequences we’re only beginning to grasp. New winners will emerge as past leaders struggle to hang on — a shift that will also reshape the investment landscape. Startups leveraging AI will likely redefine leadership in sectors where incumbents have grown complacent. Nvidia’s rise is part of a broader trend: the next market leaders will emerge wherever AI creates a clear competitive advantage — whether in chips, code, or entirely new markets. The AI-driven future is arriving faster than most organizations are ready for. Adapting to this accelerating wave of change is no longer optional — it’s essential. Companies that act decisively today will define the winners of tomorrow.