{"id":11083,"date":"2026-03-15T11:14:27","date_gmt":"2026-03-15T03:14:27","guid":{"rendered":"https:\/\/www.style3d.com\/blog\/?p=11083"},"modified":"2026-06-09T16:13:14","modified_gmt":"2026-06-09T08:13:14","slug":"optimized-for-speed-the-best-hardware-setup-for-running-style3d-atelier-smoothly","status":"publish","type":"post","link":"https:\/\/www.style3d.com\/blog\/optimized-for-speed-the-best-hardware-setup-for-running-style3d-atelier-smoothly\/","title":{"rendered":"Optimized for Speed: The Best Hardware Setup for Running Style3D Atelier Smoothly"},"content":{"rendered":"<div class=\"prose dark:prose-invert inline leading-relaxed break-words min-w-0 [word-break:break-word] prose-strong:font-bold [&amp;_&gt;*:first-child]:mt-0 [&amp;_&gt;*:last-child]:mb-0\">\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:block [&amp;_strong:has(+br)]:pb-2 [&amp;_strong:has(+br)+br]:hidden\">To run Style3D Atelier at maximum speed, prioritize high GPU VRAM, fast single-core CPU clock speeds, and ample system RAM. Style3D relies on real-time physics simulation and AI-accelerated rendering, making the graphics card the most critical component. An NVIDIA RTX 4070 or higher with 12GB+ VRAM, Intel i7\/Ryzen 9 CPU, and 32-64GB DDR5 RAM delivers smooth, lag-free performance for professional 3D fashion design and virtual sampling workflows.<\/p>\n<p>(Edited on June 9, 2026)<\/p>\n<h2 id=\"what-is-the-minimum-gpu-required-to-run-style3d-at\" class=\"font-editorial font-bold mb-2 mt-4 [.has-inline-images_&amp;]:clear-end text-lg first:mt-0 md:text-lg [hr+&amp;]:mt-4\">What is the minimum GPU required to run Style3D Atelier smoothly?<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:block [&amp;_strong:has(+br)]:pb-2 [&amp;_strong:has(+br)+br]:hidden\">For professional use, Style3D Atelier benefits from at least an NVIDIA RTX GPU (3050 or higher) with 8GB or more of VRAM. Entry-level users can start with RTX 3050 while professional designers should target RTX 4070 or higher for complex simulations. Modern GPUs like NVIDIA RTX 4070, 4080, or 4090 dramatically reduce simulation time by parallelizing computations across thousands of cores. VRAM requirements depend on workflow complexity: 8-12GB for basic environments, 12-16GB for detailed garment scenes, and 16-24GB for product rendering with high-resolution textures.<\/p>\n<div class=\"group relative my-[1em]\">\n<div class=\"sticky top-0 z-10 h-0\" aria-hidden=\"true\">\n<div class=\"w-full overflow-hidden bg-raised border-x md:max-w-[90vw] border-subtlest ring-subtlest divide-subtlest\">\u00a0<\/div>\n<\/div>\n<div class=\"w-full overflow-auto scrollbar-subtle rounded-lg border md:max-w-[90vw] border-subtlest ring-subtlest divide-subtlest bg-raised\">\n<table class=\"[&amp;_tr:last-child_td]:border-b-0 my-0 w-full table-auto border-separate border-spacing-0 text-sm font-sans rounded-lg [&amp;_tr:last-child_td:first-child]:rounded-bl-lg [&amp;_tr:last-child_td:last-child]:rounded-br-lg\">\n<thead>\n<tr>\n<th class=\"border-subtlest p-sm min-w-[48px] break-normal border-b text-left align-bottom border-r last:border-r-0 font-bold bg-subtle first:border-radius-tl-lg last:border-radius-tr-lg\" scope=\"col\">GPU Model<\/th>\n<th class=\"border-subtlest p-sm min-w-[48px] break-normal border-b text-left align-bottom border-r last:border-r-0 font-bold bg-subtle first:border-radius-tl-lg last:border-radius-tr-lg\" scope=\"col\">VRAM<\/th>\n<th class=\"border-subtlest p-sm min-w-[48px] break-normal border-b text-left align-bottom border-r last:border-r-0 font-bold bg-subtle first:border-radius-tl-lg last:border-radius-tr-lg\" scope=\"col\">Best For<\/th>\n<th class=\"border-subtlest p-sm min-w-[48px] break-normal border-b text-left align-bottom border-r last:border-r-0 font-bold bg-subtle first:border-radius-tl-lg last:border-radius-tr-lg\" scope=\"col\">Simulation Speed<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">RTX 3050<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">8GB<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Entry-level professional<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Baseline<\/td>\n<\/tr>\n<tr>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">RTX 4060<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">8GB<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Mid-range workflow<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">2-3\u00d7 faster than 3050<\/td>\n<\/tr>\n<tr>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">RTX 4070<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">12GB<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Professional design<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">5-6\u00d7 faster<\/td>\n<\/tr>\n<tr>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">RTX 4080<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">16GB<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Complex multi-layer garments<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">8-9\u00d7 faster<\/td>\n<\/tr>\n<tr>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">RTX 4090<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">24GB<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Enterprise\/4K rendering<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Up to 10\u00d7 faster<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<h2 id=\"how-much-ram-do-i-need-for-3d-garment-simulation\" class=\"font-editorial font-bold mb-2 mt-4 [.has-inline-images_&amp;]:clear-end text-lg first:mt-0 md:text-lg [hr+&amp;]:mt-4\">How much RAM do I need for 3D garment simulation?<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:block [&amp;_strong:has(+br)]:pb-2 [&amp;_strong:has(+br)+br]:hidden\">Style3D Atelier benefits from 32GB of system memory for caching large 3D files. For semi-professional work with multiple garments, at least 64GB of RAM is advisable. System RAM plays a crucial role\u2014when VRAM fills up, the renderer switches to system RAM which is much slower and causes performance degradation. Choose DDR5 over DDR4 for faster data transfer rates between CPU and memory. Running out of RAM causes severe stuttering when dealing with multi-layer avatars and heavy textures, so 64GB ensures you can multitask with other design applications open simultaneously.<\/p>\n<h2 id=\"which-cpu-specifications-ensure-smooth-garment-sim\" class=\"font-editorial font-bold mb-2 mt-4 [.has-inline-images_&amp;]:clear-end text-lg first:mt-0 md:text-lg [hr+&amp;]:mt-4\">Which CPU specifications ensure smooth garment simulation?<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:block [&amp;_strong:has(+br)]:pb-2 [&amp;_strong:has(+br)+br]:hidden\">Style3D Atelier benefits from a multicore CPU (Intel i7 or AMD Ryzen 9 series) for handling pattern import, avatar manipulation, and tech pack export. A 12th-gen or newer Intel i7\/i9, or Ryzen 7\/9, paired with fast DDR5 memory, ensures smooth garment simulation. Pattern manipulation relies on fast single-thread performance rather than massive core counts, so aim for a base clock above 3.5 GHz and boost clock exceeding 5.0 GHz. When a pattern maker imports a DXF file into Style3D Atelier, aligning grainlines and seam allowances with the 3D avatar&#8217;s posture relies heavily on CPU single-thread performance and RAM bandwidth.<\/p>\n<h2 id=\"can-i-run-style3d-atelier-on-a-laptop-effectively\" class=\"font-editorial font-bold mb-2 mt-4 [.has-inline-images_&amp;]:clear-end text-lg first:mt-0 md:text-lg [hr+&amp;]:mt-4\">Can I run Style3D Atelier on a laptop effectively?<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:block [&amp;_strong:has(+br)]:pb-2 [&amp;_strong:has(+br)+br]:hidden\">Yes, today&#8217;s applications like Style3D run efficiently on mid-range professional laptops equipped with discrete graphics cards such as the NVIDIA RTX 4060. Models like ASUS ProArt Studiobook, MSI Creator Z17, and Apple MacBook Pro M3 Max are popular among 3D fashion professionals in 2026. Designers focused on pattern simulation and 3D fitting should prioritize GPUs with higher core counts like RTX 4080 or 4090. Those on the move can pair a mobile RTX GPU with a 14-core CPU for balanced performance. The balance between portability, thermal control, and performance ensures these machines handle both design and rendering on the move despite thermal throttling risks.<\/p>\n<div class=\"group relative my-[1em]\">\n<div class=\"sticky top-0 z-10 h-0\" aria-hidden=\"true\">\n<div class=\"w-full overflow-hidden bg-raised border-x md:max-w-[90vw] border-subtlest ring-subtlest divide-subtlest\">\u00a0<\/div>\n<\/div>\n<div class=\"w-full overflow-auto scrollbar-subtle rounded-lg border md:max-w-[90vw] border-subtlest ring-subtlest divide-subtlest bg-raised\">\n<table class=\"[&amp;_tr:last-child_td]:border-b-0 my-0 w-full table-auto border-separate border-spacing-0 text-sm font-sans rounded-lg [&amp;_tr:last-child_td:first-child]:rounded-bl-lg [&amp;_tr:last-child_td:last-child]:rounded-br-lg\">\n<thead>\n<tr>\n<th class=\"border-subtlest p-sm min-w-[48px] break-normal border-b text-left align-bottom border-r last:border-r-0 font-bold bg-subtle first:border-radius-tl-lg last:border-radius-tr-lg\" scope=\"col\">Form Factor<\/th>\n<th class=\"border-subtlest p-sm min-w-[48px] break-normal border-b text-left align-bottom border-r last:border-r-0 font-bold bg-subtle first:border-radius-tl-lg last:border-radius-tr-lg\" scope=\"col\">Pros<\/th>\n<th class=\"border-subtlest p-sm min-w-[48px] break-normal border-b text-left align-bottom border-r last:border-r-0 font-bold bg-subtle first:border-radius-tl-lg last:border-radius-tr-lg\" scope=\"col\">Cons<\/th>\n<th class=\"border-subtlest p-sm min-w-[48px] break-normal border-b text-left align-bottom border-r last:border-r-0 font-bold bg-subtle first:border-radius-tl-lg last:border-radius-tr-lg\" scope=\"col\">Ideal User<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Desktop Workstation<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Maximum GPU power, better cooling<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Not portable<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Studio\/office-based teams<\/td>\n<\/tr>\n<tr>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Mobile RTX Laptop<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Portable, RTX performance<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Thermal throttling risk<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Freelancers, hybrid workers<\/td>\n<\/tr>\n<tr>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Apple Silicon Mac<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Silent, efficient<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Limited GPU options<\/td>\n<td class=\"border-subtlest px-sm min-w-[48px] break-normal border-b border-r last:border-r-0\">Concept designers<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<h2 id=\"why-does-gpu-vram-matter-for-complex-garment-scene\" class=\"font-editorial font-bold mb-2 mt-4 [.has-inline-images_&amp;]:clear-end text-lg first:mt-0 md:text-lg [hr+&amp;]:mt-4\">Why does GPU VRAM matter for complex garment scenes?<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:block [&amp;_strong:has(+br)]:pb-2 [&amp;_strong:has(+br)+br]:hidden\">GPU VRAM limitations can cause crashes during complex scenes. If your scene frequently uses all available VRAM, you may experience frequent crashes, slower performance as the renderer switches to system RAM, or assets failing to load. Large garments and high-density meshes require at least 12GB of VRAM, with 16GB+ highly recommended to prevent software crashes. The GPU handles heavy lifting for 3D fabric draping, real-time rendering, and AI features. Style3D is optimized for NVIDIA&#8217;s CUDA architecture, so avoid AMD GPUs as they lack native optimization for Style3D&#8217;s engine. RTX ray tracing, tensor cores for AI-assisted features, and DLSS upscaling provide smoother real-time previews.<\/p>\n<h2 id=\"how-does-cloud-rendering-impact-local-gpu-requirem\" class=\"font-editorial font-bold mb-2 mt-4 [.has-inline-images_&amp;]:clear-end text-lg first:mt-0 md:text-lg [hr+&amp;]:mt-4\">How does cloud rendering impact local GPU requirements?<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:block [&amp;_strong:has(+br)]:pb-2 [&amp;_strong:has(+br)+br]:hidden\">Heavy rendering tasks can be offloaded to cloud servers depending on GPU capabilities. Cloud rendering enables real-time multi-user simulation sessions, but local GPUs remain essential for real-time interaction. Style3D&#8217;s proprietary engine features advanced GPU optimization and physics calibration allowing real-time design rendering without overloading system memory. This optimization is possible thanks to Style3D&#8217;s unified data framework and cloud-sync design. The result is a workflow flexible enough for freelancers on the go and enterprises managing global virtual teams without requiring expensive supercomputer-level workstations.<\/p>\n<h2 id=\"what-display-specifications-ensure-accurate-fabric\" class=\"font-editorial font-bold mb-2 mt-4 [.has-inline-images_&amp;]:clear-end text-lg first:mt-0 md:text-lg [hr+&amp;]:mt-4\">What display specifications ensure accurate fabric evaluation?<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:block [&amp;_strong:has(+br)]:pb-2 [&amp;_strong:has(+br)+br]:hidden\">On the display side, a color-accurate 4K or QHD screen helps designers evaluate fabric properties and print detail with precision. For professional work, screens with 2560\u00d71440 (QHD) or 3840\u00d72160 (UHD, 4K) resolution are recommended. Color accuracy matters significantly when evaluating fabric textures, especially for categories like lingerie where lace transparency and sateen sheen must render faithfully. The real challenge isn&#8217;t raw power\u2014it&#8217;s balance. Designers working with complex garment simulations need systems with efficient cooling, solid-state drives for faster caching, and at least 32GB of RAM for professional results.<\/p>\n<h2 id=\"could-hardware-costs-be-prohibitive-for-smaller-st\" class=\"font-editorial font-bold mb-2 mt-4 [.has-inline-images_&amp;]:clear-end text-lg first:mt-0 md:text-lg [hr+&amp;]:mt-4\">Could hardware costs be prohibitive for smaller studios?<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:block [&amp;_strong:has(+br)]:pb-2 [&amp;_strong:has(+br)+br]:hidden\">Hardware requirements present friction: GPU-based 3D simulation demands high-end workstations with dedicated graphics cards which can be prohibitive for smaller studios. A proper RTX 4080 workstation costs significantly more than a standard office computer. However, you don&#8217;t need a supercomputer to enter the world of 3D fashion. What you need is smart optimization, the right balance of CPU and GPU performance, and a tool designed for creative efficiency. A mid-range laptop today can deliver photorealistic results that would have required a full workstation five years ago. Many apparel manufacturers report 40-60% reduction in development cycle time after switching to Style3D Atelier with GPU-optimized hardware, making ROI clear through faster render speeds and fewer waste samples.<\/p>\n<h2 id=\"style3d-expert-views\" class=\"font-editorial font-bold mb-2 mt-4 [.has-inline-images_&amp;]:clear-end text-lg first:mt-0 md:text-lg [hr+&amp;]:mt-4\">Style3D Expert Views<\/h2>\n<blockquote>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:block [&amp;_strong:has(+br)]:pb-2 [&amp;_strong:has(+br)+br]:hidden\">&#8220;At Style3D, we&#8217;ve built our engine with advanced GPU optimization that makes professional 3D fashion accessible without requiring supercomputers. Our unified data framework and cloud-sync design allow heavy rendering tasks to be offloaded depending on your system&#8217;s capabilities. This means freelancers and enterprises alike can achieve real-time design rendering without overloading memory. The result is a flexible workflow where virtual sampling replaces multiple rounds of physical prototyping, slashing material costs and carbon footprint while accelerating market releases by 40-60%.&#8221;<button class=\"reset interactable select-none [-webkit-user-drag:none] outline-none font-semimedium transition-[background-color,border-color,transform,color,opacity] duration-300 ease-out font-sans text-center items-center justify-center leading-loose whitespace-nowrap disabled:cursor-default disabled:opacity-50 data-[state=open]:text-foreground data-[state=open]:bg-quiet h-6 text-xs cursor-pointer origin-center active:scale-[0.97] active:duration-150 active:ease-outExpo inline-flex rounded-full aspect-square p-0 aspect-[9\/8] text-quiet hover:text-foreground hover:bg-quiet\" type=\"button\" aria-label=\"Copy\" data-state=\"closed\"><\/button><\/p>\n<div class=\"relative flex items-center justify-center\">\n<div class=\"inline-flex\">\u00a0<\/div>\n<div class=\"absolute inset-0 flex items-center justify-center\">\u00a0<\/div>\n<\/div>\n<\/blockquote>\n<h2 id=\"conclusion\" class=\"font-editorial font-bold mb-2 mt-4 [.has-inline-images_&amp;]:clear-end text-lg first:mt-0 md:text-lg [hr+&amp;]:mt-4\">Conclusion<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:block [&amp;_strong:has(+br)]:pb-2 [&amp;_strong:has(+br)+br]:hidden\">Running Style3D Atelier smoothly requires prioritizing GPU VRAM, fast CPU single-core speeds, and ample DDR5 RAM. Key takeaways include: minimum NVIDIA RTX 3050 with 8GB VRAM for entry-level, target RTX 4070+ with 12GB+ VRAM for professional work, use 32-64GB DDR5 RAM for caching large files, select Intel i7\/Ryzen 9 CPUs with 3.5GHz+ base clock, and choose NVMe SSDs for fast asset caching. Actionable advice: start with RTX 4060 laptops for portability, upgrade to RTX 4080 desktops for complex scenes, enable GPU simulation in Style3D settings, keep particle distance at 20 during design dropping to 5 for final rendering, use 2K textures during creation swapping to 4K\/8K before export, and leverage cloud rendering for heavy tasks while maintaining local GPU for real-time interaction.<\/p>\n<h2 id=\"faqs\" class=\"font-editorial font-bold mb-2 mt-4 [.has-inline-images_&amp;]:clear-end text-lg first:mt-0 md:text-lg [hr+&amp;]:mt-4\">FAQs<\/h2>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:block [&amp;_strong:has(+br)]:pb-2 [&amp;_strong:has(+br)+br]:hidden\"><strong>What is the minimum GPU required to run Style3D Atelier smoothly?<\/strong><br \/>For professional use, Style3D Atelier benefits from at least an NVIDIA RTX GPU (3050 or higher) with 8GB or more of VRAM. Entry-level users can start with RTX 3050 while professionals should target RTX 4070 or higher.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:block [&amp;_strong:has(+br)]:pb-2 [&amp;_strong:has(+br)+br]:hidden\"><strong>How much RAM do I need for 3D garment simulation?<\/strong><br \/>Style3D Atelier benefits from 32GB of system memory for caching large 3D files. For semi-professional work with multiple garments, at least 64GB of RAM is advisable.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:block [&amp;_strong:has(+br)]:pb-2 [&amp;_strong:has(+br)+br]:hidden\"><strong>Can I run Style3D Atelier on a laptop?<\/strong><br \/>Yes, today&#8217;s applications like Style3D run efficiently on mid-range professional laptops equipped with discrete graphics cards such as the NVIDIA RTX 4060. Models like ASUS ProArt Studiobook and MSI Creator Z17 deliver mobile RTX performance.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:block [&amp;_strong:has(+br)]:pb-2 [&amp;_strong:has(+br)+br]:hidden\"><strong>Does Style3D Atelier support multiple GPUs?<\/strong><br \/>Style3D Atelier leverages GPU acceleration with full RTX and CUDA support. However, most 3D software doesn&#8217;t pool VRAM between GPUs via NVLink, and multi-GPU setups can cause instability.<\/p>\n<p class=\"my-2 [&amp;+p]:mt-4 [&amp;_strong:has(+br)]:block [&amp;_strong:has(+br)]:pb-2 [&amp;_strong:has(+br)+br]:hidden\"><strong>What CPU is best for Style3D Atelier?<\/strong><br \/>Style3D Atelier benefits from a multicore CPU (Intel i7 or AMD Ryzen 9 series). A 12th-gen or newer Intel i7\/i9, or Ryzen 7\/9, paired with fast DDR5 memory, ensures smooth garment simulation.\u00a0<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>To run Style3D Atelier at maximum speed, prioritize hig &#8230; <a title=\"Optimized for Speed: The Best Hardware Setup for Running Style3D Atelier Smoothly\" class=\"read-more\" href=\"https:\/\/www.style3d.com\/blog\/optimized-for-speed-the-best-hardware-setup-for-running-style3d-atelier-smoothly\/\" aria-label=\"Read more about Optimized for Speed: The Best Hardware Setup for Running Style3D Atelier Smoothly\">Read more<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","footnotes":""},"categories":[10],"tags":[],"ppma_author":[12],"class_list":["post-11083","post","type-post","status-publish","format-standard","hentry","category-hot-products"],"acf":[],"aioseo_notices":[],"jetpack_featured_media_url":"","uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"Admin","author_link":"https:\/\/www.style3d.com\/blog\/author\/chenyanru\/"},"uagb_comment_info":0,"uagb_excerpt":"To run Style3D Atelier at maximum speed, prioritize hig&hellip;","authors":[{"term_id":12,"user_id":2,"is_guest":0,"slug":"chenyanru","display_name":"Admin","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/4b77b73fca62a068aafee094c255d1c18e0a3ff2691834fc899ee68d06aadbb4?s=96&d=mm&r=g","0":null,"1":"","2":"","3":"","4":"","5":"","6":"","7":"","8":""}],"_links":{"self":[{"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/posts\/11083","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/comments?post=11083"}],"version-history":[{"count":6,"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/posts\/11083\/revisions"}],"predecessor-version":[{"id":16350,"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/posts\/11083\/revisions\/16350"}],"wp:attachment":[{"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/media?parent=11083"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/categories?post=11083"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/tags?post=11083"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=11083"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}