{"id":39975,"date":"2025-10-03T14:12:20","date_gmt":"2025-10-03T21:12:20","guid":{"rendered":"https:\/\/www.pugetsystems.com\/?post_type=article&#038;p=39975"},"modified":"2025-10-03T14:12:26","modified_gmt":"2025-10-03T21:12:26","slug":"render-at-scale-high-density-cpu-and-gpu-servers","status":"publish","type":"article","link":"https:\/\/www.pugetsystems.com\/labs\/articles\/render-at-scale-high-density-cpu-and-gpu-servers\/","title":{"rendered":"Render at Scale: High-Density CPU and GPU Servers"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_80 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.pugetsystems.com\/labs\/articles\/render-at-scale-high-density-cpu-and-gpu-servers\/#CPU_Render_Node_Extreme_Core_Density_in_1U\" >CPU Render Node: Extreme Core Density in 1U<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.pugetsystems.com\/labs\/articles\/render-at-scale-high-density-cpu-and-gpu-servers\/#GPU_Render_Node_Four_RTX_PRO_GPUs_in_2U\" >GPU Render Node: Four RTX PRO GPUs in 2U<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.pugetsystems.com\/labs\/articles\/render-at-scale-high-density-cpu-and-gpu-servers\/#Beyond_Rendering_Versatility_and_Integration\" >Beyond Rendering: Versatility and Integration<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.pugetsystems.com\/labs\/articles\/render-at-scale-high-density-cpu-and-gpu-servers\/#Scale_Without_Compromise\" >Scale Without Compromise<\/a><\/li><\/ul><\/nav><\/div>\n\n<p>In modern VFX and animation production, rendering can quickly become a bottleneck. Complex shots, higher resolutions, and physically accurate lighting all demand enormous compute power. For mid-to-large studios, scaling render capacity isn\u2019t just about adding more machines \u2014 it\u2019s about maximizing density, reliability, and efficiency within the constraints of the data center.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2025\/10\/Render-at-Scale-Featured-Image.png\" alt=\"Render at Scale: High Density CPU and GPU Servers article title on a background showing a room full of server racks\" class=\"wp-image-40702\"\/><\/figure>\n\n\n\n<p>At Puget Systems, we specialize in designing custom servers and workstations tailored to the real-world workflows of creative professionals. Today, we spotlight two of our most powerful rackmount render nodes \u2014 one optimized for CPU-based rendering, and the other for GPU-accelerated pipelines. Both are engineered to deliver maximum performance per rack unit, making it possible to scale a render farm without expanding the footprint.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-cpu-render-node-extreme-core-density-in-1u\"><span class=\"ez-toc-section\" id=\"CPU_Render_Node_Extreme_Core_Density_in_1U\"><\/span>CPU Render Node: Extreme Core Density in 1U<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>CPU rendering continues to be the backbone of many VFX and animation pipelines. Studios often choose CPU-based render engines such as <a href=\"https:\/\/www.autodesk.com\/products\/arnold\/overview\" target=\"_blank\" rel=\"noreferrer noopener\">Autodesk Arnold<\/a>, <a href=\"https:\/\/renderman.pixar.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Pixar\u2019s RenderMan<\/a>, and <a href=\"https:\/\/www.chaos.com\/vray\" target=\"_blank\" rel=\"noreferrer noopener\">Chaos V-Ray<\/a> because of three key advantages: RAM capacity, stability, and scalability.<\/p>\n\n\n\n<p>Unlike GPUs, CPUs can directly access extremely large memory pools. Our 1U render node supports up to 3TB of system RAM, making it ideal for handling massive scenes with complex geometry, heavy textures, or effects simulations. This ensures that artists aren\u2019t forced to simplify their projects or split them into smaller chunks just to fit within memory constraints.<\/p>\n\n\n\n<p>Stability is another reason many facilities lean on CPUs for final-frame rendering. CPU engines have matured over decades, providing consistent, predictable results across a wide range of projects and pipelines. They\u2019re less prone to compatibility quirks and can often render for weeks at a time without interruption \u2014 a key factor when projects are running around the clock.<\/p>\n\n\n\n<p>Scalability is also central to CPU rendering. Modern render managers allow a single physical server to be broken into smaller processor groups, effectively letting multiple renders run in parallel. For example, a dual-socket system with 320 cores could be divided into four or eight logical machines, each assigned its own slice of CPU resources. Some render jobs will need more RAM or CPU cores than others, and the render management software can ensure that each job gets the resources it needs. This makes it possible to process many shots simultaneously, keeping the farm fully utilized and projects moving forward.<\/p>\n\n\n\n<div class=\"mod-img wp-block-image aligncenter\" data-target=\"single-image-modal-65353\">\n<figure class=\"aligncenter\">\n\t<!-- If image is not empty, print image, else, print from image URL -->\n\t\t\t<img decoding=\"async\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2025\/10\/1U_Render_nodes-scaled.jpg\" alt=\"the 1U render node supporting up to dual 160 core EPYC CPUs.\" ><\/img>\n\t\t<\/figure>\n<\/div>\n\n<!-- Displays caption if entered -->\n\n<!-- Displays modal upon click of an image -->\n<script type=\"text\/javascript\">\n\t\/\/Using unique random generated id\n\tjQuery(document).ready(function(){\n\t\tjQuery('[data-target=\"single-image-modal-65353\"]').click(function(){\n            jQuery('#single-image-modal-65353Modal').modal('show');\n\t\t\t});\n        });\n<\/script>\n\n<div class=\"modal fade popup-image\" id=\"single-image-modal-65353Modal\" tabindex=\"-1\" role=\"dialog\"> \n\t<div class=\"modal-dialog modal-xl\" role=\"document\">\n\t\t<div class=\"modal-content\">\n\t\t\t<div class=\"modal-header\">\n\t\t\t\t<h5 class=\"modal-title\">Image<\/h5>\n\t\t\t\t<button type=\"button\" class=\"close\" data-dismiss=\"modal\" aria-label=\"Close\">\n\t\t\t\t\t<span aria-hidden=\"true\">&times;<\/span>\n\t\t\t\t<\/button>\n\t\t\t<\/div> <!-- \/modal-header -->\n\n            <div class=\"modal-body inner-modal\">\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2025\/10\/1U_Render_nodes-scaled.jpg\" alt=\"\" \/>\n\t\t\t\t\t\t<div class=\"text-center full-res-image-wrapper\">\n\t\t\t\t\t\t\t<a class=\"btn btn-light btn-lg full-res-image-link\" href=\"https:\/\/wp-cdn.pugetsystems.com\/2025\/10\/1U_Render_nodes-scaled.jpg\" target=\"_blank\">Open Full Resolution <i class=\"fas fa-external-link-alt\"><\/i><\/a>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div><!-- \/modal-body -->\n    \t<\/div><!-- \/modal-content -->\n    <\/div><!-- \/modal-dialog -->\n<\/div><!-- \/modal fade --> \n\n\n\n<p>Our <a href=\"\/solutions\/rendering-workstations\/v-ray\/buy-535\/\">1U CPU render node<\/a> delivers all of this performance in a compact, air-cooled chassis. Each system is powered by dual AMD EPYC\u2122 9005 Series processors with up to 160 cores each, for a maximum of 320 cores per node, and includes multiple hot-swappable drive bays for local caching or scratch space. For facilities with high-end network infrastructure, we also offer options for dual 100GbE networking, ensuring that large asset transfers don\u2019t become a bottleneck even in a fully loaded rack.<\/p>\n\n\n\n<p>The real story is in rack density:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>42 servers per rack<\/li>\n\n\n\n<li>Up to 13,440 CPU cores per rack<\/li>\n\n\n\n<li>As much as 126TB of memory per rack<\/li>\n<\/ul>\n\n\n\n<p>That kind of performance can turn overnight render jobs into same-day iterations, accelerating creative workflows and helping studios meet tighter deadlines without compromise.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-gpu-render-node-four-rtx-pro-gpus-in-2u\"><span class=\"ez-toc-section\" id=\"GPU_Render_Node_Four_RTX_PRO_GPUs_in_2U\"><\/span>GPU Render Node: Four RTX PRO GPUs in 2U<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Over the past decade, GPU rendering has transformed how many studios approach final-frame rendering and look development. The most significant advantage of GPUs is speed. A single high-end GPU can often outperform the highest core count CPUs available, dramatically accelerating render times. This makes GPUs especially valuable for iterative workflows, where artists need to quickly test lighting, shading, and effects before committing to final renders.<\/p>\n\n\n\n<p>Another key factor driving adoption is software support. Many of the most popular rendering engines have added or expanded GPU rendering capabilities, including V-Ray, Arnold, and even RenderMan, in addition to GPU-native engines like <a href=\"https:\/\/www.maxon.net\/en\/redshift\">Maxon&#8217;s Redshift<\/a> and <a href=\"https:\/\/home.otoy.com\/render\/octane-render\/\">Otoy&#8217;s OctaneRender<\/a>. For studios adopting a mixed pipeline, GPUs provide flexibility and faster turnaround times without requiring a full retooling of their workflow.<\/p>\n\n\n\n<div class=\"mod-img wp-block-image aligncenter\" data-target=\"single-image-modal-94958\">\n<figure class=\"aligncenter\">\n\t<!-- If image is not empty, print image, else, print from image URL -->\n\t\t\t<img decoding=\"async\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2025\/10\/2U_Render_nodes-scaled.jpg\" alt=\"the 2U render node supporting up to 4 RTX PRO GPUs\" ><\/img>\n\t\t<\/figure>\n<\/div>\n\n<!-- Displays caption if entered -->\n\n<!-- Displays modal upon click of an image -->\n<script type=\"text\/javascript\">\n\t\/\/Using unique random generated id\n\tjQuery(document).ready(function(){\n\t\tjQuery('[data-target=\"single-image-modal-94958\"]').click(function(){\n            jQuery('#single-image-modal-94958Modal').modal('show');\n\t\t\t});\n        });\n<\/script>\n\n<div class=\"modal fade popup-image\" id=\"single-image-modal-94958Modal\" tabindex=\"-1\" role=\"dialog\"> \n\t<div class=\"modal-dialog modal-xl\" role=\"document\">\n\t\t<div class=\"modal-content\">\n\t\t\t<div class=\"modal-header\">\n\t\t\t\t<h5 class=\"modal-title\">Image<\/h5>\n\t\t\t\t<button type=\"button\" class=\"close\" data-dismiss=\"modal\" aria-label=\"Close\">\n\t\t\t\t\t<span aria-hidden=\"true\">&times;<\/span>\n\t\t\t\t<\/button>\n\t\t\t<\/div> <!-- \/modal-header -->\n\n            <div class=\"modal-body inner-modal\">\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2025\/10\/2U_Render_nodes-scaled.jpg\" alt=\"\" \/>\n\t\t\t\t\t\t<div class=\"text-center full-res-image-wrapper\">\n\t\t\t\t\t\t\t<a class=\"btn btn-light btn-lg full-res-image-link\" href=\"https:\/\/wp-cdn.pugetsystems.com\/2025\/10\/2U_Render_nodes-scaled.jpg\" target=\"_blank\">Open Full Resolution <i class=\"fas fa-external-link-alt\"><\/i><\/a>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div><!-- \/modal-body -->\n    \t<\/div><!-- \/modal-content -->\n    <\/div><!-- \/modal-dialog -->\n<\/div><!-- \/modal fade --> \n\n\n\n<p>Our <a href=\"\/solutions\/rendering-workstations\/v-ray\/buy-420\/\">2U GPU render node<\/a> is designed to maximize this acceleration while maintaining high density. Each system supports up to four NVIDIA RTX PRO\u2122 6000 Blackwell Max-Q GPUs, each with 96GB of VRAM, delivering massive parallel compute power for final-frame rendering and interactive sessions. With multiple drive bays for caching and local storage, and options for dual 100GbE networking, these nodes integrate seamlessly into large-scale render farms.<\/p>\n\n\n\n<p>Importantly, these systems don\u2019t just rely on the GPUs. Each GPU node can also be configured with up to 160 CPU cores, allowing studios the option to fall back to CPU rendering if a specific engine or shot requires it. This hybrid capability ensures that no matter what challenges arise, the hardware is ready to handle them.<\/p>\n\n\n\n<p>At scale, GPU density is equally impressive:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>21 servers per rack<\/li>\n\n\n\n<li>Up to 84 RTX PRO\u2122 GPUs per rack<\/li>\n\n\n\n<li>Up to 2,688 CPU cores per rack<br><\/li>\n<\/ul>\n\n\n\n<p>This balance of GPU acceleration and CPU flexibility allows studios to harness the best of both worlds: blazing-fast GPU throughput for supported engines, with the reliability and memory capacity of CPUs available when needed.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-beyond-rendering-versatility-and-integration\"><span class=\"ez-toc-section\" id=\"Beyond_Rendering_Versatility_and_Integration\"><\/span>Beyond Rendering: Versatility and Integration<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>While these servers are purpose-built for rendering, their capabilities extend far beyond a single workload. The same dense CPU and GPU compute power that makes them ideal for film and animation rendering can also be applied to a wide range of high-performance tasks. GPU nodes that accelerate final-frame rendering in Redshift or Arnold can just as easily be used for AI and machine learning workflows, while the large memory capacity and stability of CPU nodes make them excellent for effects simulation or AI inference tasks where reliability is critical.<\/p>\n\n\n\n<p>Equally important, these systems don\u2019t require studios to reinvent their pipelines. Paired with scalable storage solutions, they integrate seamlessly into existing infrastructure with popular render managers such as <a href=\"https:\/\/aws.amazon.com\/thinkbox-deadline\/?c=ms&amp;sec=srv\" target=\"_blank\" rel=\"noreferrer noopener\">AWS Thinkbox Deadline<\/a>, <a href=\"https:\/\/renderman.pixar.com\/tractor\" target=\"_blank\" rel=\"noreferrer noopener\">Pixar\u2019s Tractor<\/a>, and <a href=\"https:\/\/docs.opencue.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">OpenCue<\/a>.<strong> <\/strong>This gives IT teams the flexibility to manage render resources efficiently while allowing artists to keep working in the tools they know best.<\/p>\n\n\n\n<p>This combination of versatility and easy integration provides long-term value for many studios. Technology in our industry is constantly evolving, and investing in infrastructure that can adapt to new workloads ensures a longer return on investment. These servers aren\u2019t just render nodes; they are a foundation for the next generation of production workflows, built to grow as the studio\u2019s needs evolve.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-scale-without-compromise\"><span class=\"ez-toc-section\" id=\"Scale_Without_Compromise\"><\/span>Scale Without Compromise<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>For VFX and animation studios, scaling render capacity has always been a balance between raw performance, physical space, and reliability. With Puget Systems\u2019 high-density render nodes, that balance is no longer a trade-off.<\/p>\n\n\n\n<p>Our 1U CPU render node delivers up to 320 Cores and 3TB of RAM\u00a0 per node. This translates to as much as 13,440 cores and 126TB of memory per rack, giving studios the stability and scalability of CPU rendering in an incredibly compact footprint. Alternatively, our 2U GPU render node offers up to four NVIDIA RTX PRO 6000 Blackwell Max-Q GPUs per node. When scaled to a full rack, this can give up to 84 GPUs and 3,360 CPU cores per rack, combining the speed of GPU acceleration with the flexibility to fall back on CPUs when needed. Together, these solutions enable facilities to maximize compute power per square foot without sacrificing serviceability or long-term reliability.<\/p>\n\n\n\n<p>For many studios, the question isn\u2019t if more render power is needed \u2014 it\u2019s how to scale responsibly. By deploying high-density servers designed for rendering today and versatile enough for AI\/ML and other workloads tomorrow, studios can expand capacity without expanding their footprint. And with Puget Systems\u2019 rigorous testing and industry-leading support, studios can do so with confidence that their farm will perform when deadlines are tightest.<\/p>\n\n\n\n<p><strong>In short: these are servers built to let studios scale without compromise, giving them both the power they need today and the flexibility they will rely on tomorrow.<\/strong><\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\t\t\n<div class=\"new-interrupt-banner wp-bootstrap-blocks-row row puget-icon-section\" style=\"background: var(--puget-gray); margin: 15px 0; padding: 10px 0;\">\n\t<div class=\"col-12 col-md-6\" style=\"display: flex; flex-direction: column; justify-content: space-evenly;\">\n\t\t<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>  \n\t\t\t<figure class=\"wp-block-image size-thumbnail is-resized text-center\">\t\n\t\t\t\t<a href=\"https:\/\/www.pugetsystems.com\/solutions\/rendering-workstations\/v-ray\/\">\n\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\"\n\t\t\t\t\t\tsrc=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/12\/computer-icon.png\"\n\t\t\t\t\t\talt=\"Rackmounted Icon in Puget System Colors\"\n\t\t\t\t\t\tclass=\"wp-image-12659\"\n\t\t\t\t\t\tsizes=\"auto, (max-width: 150px) 100vw, 150px\">\n\t\t\t\t<\/a>\n\t\t\t<\/figure>\t\t\t    \n\t\t\t<h4 class=\"interrupt-banner-text has-text-align-center\" id=\"h-looking-for-a-content-creation-workstation\">Looking for a network render node?<\/h4>\t\t\t\t\n\t\t\t<p class=\"has-text-align-center same-height\" >We build computers tailor-made for your workflow.&nbsp;<\/p>\n\t\t\t<div class=\"wp-bootstrap-blocks-button text-center\">\n\t\t\t\t<a class=\"interrupt-banner-link btn btn-primary\" href=\"https:\/\/www.pugetsystems.com\/solutions\/rendering-workstations\/v-ray\/\">Configure a System!<\/a>\t\t\t\t\t\n\t\t\t<\/div>\t\t\t\t\n\t\t<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\t<\/div>\n\t<div class=\"col-12 col-md-6\" style=\"display: flex; flex-direction: column; justify-content: space-evenly;\">\n\t\t<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\t\t\t<figure class=\"wp-block-image size-thumbnail is-resized text-center\">\n\t\t\t\t<a href=\"\/contact-expert\/\">\n\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" \n\t\t\t\t\t\tsrc=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/08\/talking-icon.png\" \n\t\t\t\t\t\talt=\"Talking Head Icon in Puget Systems Colors\" class=\"wp-image-12657\" title=\"\"\n\t\t\t\t\t\tsrcset=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/08\/talking-icon.png 150w, \n\t\t\t\t\t\thttps:\/\/www.pugetsystems.com\/wp-content\/uploads\/2022\/08\/talking-icon-300x300.png 300w, \n\t\t\t\t\t\thttps:\/\/www.pugetsystems.com\/wp-content\/uploads\/2022\/08\/talking-icon-75x75.png 75w, \n\t\t\t\t\t\thttps:\/\/www.pugetsystems.com\/wp-content\/uploads\/2022\/08\/talking-icon-24x24.png 24w, \n\t\t\t\t\t\thttps:\/\/www.pugetsystems.com\/wp-content\/uploads\/2022\/08\/talking-icon-48x48.png 48w, \n\t\t\t\t\t\thttps:\/\/www.pugetsystems.com\/wp-content\/uploads\/2022\/08\/talking-icon-96x96.png 96w, \n\t\t\t\t\t\thttps:\/\/www.pugetsystems.com\/wp-content\/uploads\/2022\/08\/talking-icon.png 500w\" \n\t\t\t\t\t\tsizes=\"auto, (max-width: 150px) 100vw, 150px\">\n\t\t\t\t<\/a>\n\t\t\t<\/figure>\n\t\t\t<h4 class=\"wp-block-heading has-text-align-center\" id=\"h-don-t-know-where-to-start-we-can-help\">Don&#8217;t know where to start?<br>We can help!<\/h4>\n\t\t\t<p class=\"has-text-align-center same-height\">Get in touch with our technical consultants today.<\/p>\n\t\t\t<div class=\"wp-bootstrap-blocks-button text-center\">\n\t\t\t\t<a href=\"\/contact-expert\/\" class=\"btn btn-primary\">Talk to an Expert<\/a>\n\t\t\t<\/div>\n\t\t<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\t<\/div>\n<\/div>\n\t\n\t\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns border rounded p-2 is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h3 class=\"wp-block-heading has-text-align-center\" id=\"h-related-content\">Related Content<\/h3>\n\n\n \n<div class=\"related-content\">\n\t<ul class=\"related-content-list\">\n\t\t\t\t\t\t<li class=\"related-content-list-item\">\n\t\t\t\t\t<a href=\"https:\/\/www.pugetsystems.com\/labs\/articles\/2025-professional-gpu-content-creation-roundup\/\" title=\"2025 Professional GPU Content Creation Roundup\">2025 Professional GPU Content Creation Roundup<\/a>\n\t\t\t\t<\/li>\n\t\t\t\t\t\t\t<li 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