{"id":41710,"date":"2025-11-14T13:20:40","date_gmt":"2025-11-14T21:20:40","guid":{"rendered":"https:\/\/www.pugetsystems.com\/?post_type=recommended_system&#038;p=41710"},"modified":"2025-12-10T09:01:07","modified_gmt":"2025-12-10T17:01:07","slug":"hardware-recommendations","status":"publish","type":"recommended_system","link":"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/","title":{"rendered":"Hardware Recommendations"},"content":{"rendered":"\n<div class=\"wp-block-cover is-light full-width-no-gap\" style=\"min-height:361px;aspect-ratio:unset;\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"340\" class=\"wp-block-cover__image-background wp-image-17141 size-large\" alt=\"Artist rendering of a neural network\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2023\/08\/neural-network-jpg.webp\" data-object-fit=\"cover\"\/><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim-0 has-background-dim\" style=\"background-color:#2a291e\"><\/span><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\"><div class=\"wp-bootstrap-blocks-container container mb-2 px-4\">\n\t\n\n<div class=\"wp-block-columns 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\" style=\"flex-basis:70%\">\n<h1 class=\"wp-block-heading has-text-align-left puget-header-shadow text-left has-white-color has-text-color has-link-color wp-elements-8e98f1f3b926ed92a26a1bca10396a89\" id=\"h-hardware-recommendations-for-ai-development\">Hardware Recommendations for AI Development<\/h1>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-text-align-left puget-header-shadow has-white-color has-text-color has-link-color wp-elements-d312fd199f153540d7fa2f0890de3d7f\"><strong>Our hardware recommendations for AI development workstations are based on research and hands-on testing our Puget Labs team has conducted over the years.<\/strong><\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-fdcfc74e wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-black-color has-white-background-color has-text-color has-background wp-element-button\" href=\"\/solutions\/ai-development-and-deployment\/ai-development-workstations\/\"><strong>Browse Our Recommended Systems<\/strong><\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:30%\"><\/div>\n<\/div>\n\n<\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div id=\"workflow-menu-container\" class=\"menu-recommended-systems-ai-development-container\"><ul id=\"workflow-menu\" class=\"nav nav-pills nav-fill flex-column flex-lg-row workflow-menu\"><li id=\"menu-item-42026\" class=\"menu-item menu-item-type-post_type menu-item-object-recommended_system menu-item-42026 nav-item depth-0\"><a href=\"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/\" class=\"nav-link\">Hardware Recommendations<\/a><\/li>\n<li id=\"menu-item-41803\" class=\"menu-item menu-item-type-post_type menu-item-object-recommended_system menu-item-41803 nav-item depth-0\"><a href=\"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/\" class=\"nav-link\">Suggested Systems<\/a><\/li>\n<li id=\"menu-item-41832\" class=\"menu-item menu-item-type-post_type menu-item-object-recommended_system menu-item-41832 nav-item depth-0\"><a href=\"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/buy-409\/\" class=\"nav-link\">Single GPU Workstation<\/a><\/li>\n<li id=\"menu-item-41833\" class=\"menu-item menu-item-type-post_type menu-item-object-recommended_system menu-item-41833 nav-item depth-0\"><a href=\"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/buy-200\/\" class=\"nav-link\">Multi GPU Workstation<\/a><\/li>\n<\/ul><\/div>\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\">Machine Learning &amp; AI System Requirements<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-text-align-center border rounded p-2 has-background\" style=\"background-color:#f2f2f2\"><strong>Quickly Jump To: <a href=\"#cpu\">Processor (CPU)<\/a>\u00a0\u2022\u00a0<a href=\"#gpu\">Video Card (GPU)<\/a>\u00a0\u2022\u00a0<a href=\"#ram\">Memory (RAM)<\/a>\u00a0\u2022\u00a0<a href=\"#storage\">Storage (Drives)<\/a><\/strong><\/p>\n\n\n\n<p>There are many types of Machine Learning and Artificial Intelligence applications &#8211; from traditional regression models, non-neural network classifiers, and statistical models that are represented by capabilities in Python SciKitLearn and the R language, up to Deep Learning models using frameworks like PyTorch and TensorFlow. Within these different types of ML\/AI models there can be significant variety as well. The &#8220;best&#8221; hardware will follow some standard patterns, but your specific application may have unique optimal requirements.<\/p>\n\n\n\n<p>Our recommendations will be based on generalities from typical workflows. Please note that this is focused on ML\/DL workstation hardware for programming model &#8220;training&#8221; rather than &#8220;inference&#8221;. The Q&amp;A discussion below, with answers provided by&nbsp;<a href=\"\/about-us\/bio\/donkinghorn\/\" target=\"_blank\" rel=\"noreferrer noopener\">Dr. Donald Kinghorn<\/a>, will hopefully prove useful. We also recommend that you visit his&nbsp;<a href=\"\/all_hpc\/\" target=\"_blank\" rel=\"noreferrer noopener\">HPC blog<\/a>&nbsp;for more info.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-align-center\" id=\"cpu\">Processor (CPU)<\/h3>\n\n\n\n<p>In the ML\/AI domain, GPU acceleration dominates performance in most cases. However, the processor and motherboard define the platform to support that. There is also the reality of having to spend a significant amount of effort with data analysis and clean up to prepare for training in GPU and this is often done on the CPU. The CPU can also be the main compute engine when GPU limitations such as onboard memory (VRAM) availability require it.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">What CPU is best for machine learning &amp; AI?<\/h4>\n\n\n\n<p>The two recommended CPU platforms are Intel Xeon W and AMD Threadripper Pro. This is because both of these offer excellent reliability, can supply the needed PCI-Express lanes for multiple video cards (GPUs), and offer excellent memory performance in CPU space. We generally recommend single-socket CPU workstations to lessen memory mapping issues across multi-CPU interconnects which can cause problems mapping memory to GPUs.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Do more CPU cores make machine learning &amp; AI faster?<\/h4>\n\n\n\n<p>The number of cores chosen will depend on the expected load for non-GPU tasks. As a rule of thumb, at least 4 cores for each GPU accelerator is recommended. However, if your workload has a significant CPU compute component then 32 or even 64 cores could be ideal. In any case, a 16-core processor would generally be considered minimal for this type of workstation.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Does machine learning &amp; AI work better with Intel or AMD CPUs?<\/h4>\n\n\n\n<p>Brand choice in this space is mostly a matter of preference, at least if your workload is dominated by GPU acceleration. However, the Intel platform would be preferable if your workflow can benefit from some of the tools in the&nbsp;<a href=\"https:\/\/www.pugetsystems.com\/labs\/hpc\/Intel-oneAPI-Developer-Tools----Introduction-and-Install-2054\/\" target=\"_blank\" rel=\"noreferrer noopener\">Intel oneAPI<\/a>&nbsp;AI Analytics Toolkit.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Why are Xeon or Threadripper Pro recommended rather than more &#8220;consumer&#8221; level CPUs?<\/h4>\n\n\n\n<p>The most important reason for this recommendation with ML &amp; AI workloads is the number of PCI-Express lanes that these CPUs support, which will dictate how many GPUs can be utilized. Both Intel Xeon W-3300 and AMD Threadripper PRO 7000 Series support enough PCIe lanes for three or four GPUs (depending on motherboard layout, chassis space, and power draw). This class of processors also supports 8 memory channels, which can have a significant impact on performance for CPU-bound workloads. Another consideration is that these processors are enterprise-grade and the overall platform is likely to be robust under heavy sustained compute load.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-cover is-light full-width\" style=\"min-height:50px;aspect-ratio:unset;\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim-100 has-background-dim\" style=\"background-color:#f2f2f2\"><\/span><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\"><div class=\"wp-bootstrap-blocks-container container mb-0\">\n\t\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-bootstrap-blocks-row row puget-icon-section cta-original\">\n\t\n\n<div class=\"col-12 col-md-6\">\n\t\t\t\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-image size-thumbnail is-resized text-center\"><a href=\"\/solutions\/ai-development-and-deployment\/ai-development-workstations\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/12\/computer-icon.png\" alt=\"Tower Computer Icon in Puget Systems Colors\" class=\"wp-image-12659\" style=\"width:113px;height:113px\" title=\"\"\/><\/a><\/figure>\n\n\n\n<h4 class=\"wp-block-heading has-text-align-center has-text-color\" id=\"h-looking-for-an-ai-development-workstation\" style=\"color:#130c64\">Looking for an AI development workstation?<\/h4>\n\n\n\n<p class=\"has-text-align-center\">We build computers that are tailor-made for your workflow and budget.&nbsp;<\/p>\n\n\n<div class=\"wp-bootstrap-blocks-button text-center\">\n\t<a\n\t\thref=\"\/solutions\/ai-development-and-deployment\/ai-development-workstations\/\"\n\t\t\t\t\t\tclass=\"btn btn-primary\"\n\t>\n\t\tConfigure a System\t<\/a>\n<\/div>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\t<\/div>\n\n\n\n<div class=\"col-12 col-md-6\">\n\t\t\t\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-image size-thumbnail is-resized text-center\"><a href=\"\/solutions\/ai-development-and-deployment\/servers-for-scaling-out-ai-deployments\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2023\/11\/Rackmount.png\" alt=\"Rackmount Computer Server Icon in Puget Colors\" class=\"wp-image-20428\" style=\"width:113px;height:113px\" title=\"\"\/><\/a><\/figure>\n\n\n\n<h4 class=\"wp-block-heading has-text-align-center has-text-color\" id=\"h-need-a-server-for-large-language-models\" style=\"color:#130c64\">Need a server for large language models?<\/h4>\n\n\n\n<p class=\"has-text-align-center\">We design on-prem rackmount systems with up to eight NVIDIA GPUs.<\/p>\n\n\n<div class=\"wp-bootstrap-blocks-button text-center\">\n\t<a\n\t\thref=\"\/solutions\/ai-development-and-deployment\/servers-for-scaling-out-ai-deployments\/\"\n\t\t\t\t\t\tclass=\"btn btn-primary\"\n\t>\n\t\tSpec Out a Server\t<\/a>\n<\/div>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\t<\/div>\n\n<\/div>\n\n<\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-align-center\" id=\"gpu\">Video Card (GPU)<\/h3>\n\n\n\n<p>Since the mid 2010s, GPU acceleration has been the driving force enabling rapid advancements in machine learning and AI research. At the end of 2019, Dr. Don Kinghorn&nbsp;<a href=\"https:\/\/www.pugetsystems.com\/labs\/hpc\/NVIDIA-Computing-Hardware-Company-of-the-Decade-1641\/\" target=\"_blank\" rel=\"noreferrer noopener\">wrote a blog post<\/a>&nbsp;which discusses the massive impact NVIDIA has had in this field. For deep learning training, graphics processors offer significant performance improvements over CPUs.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">What type of GPU (video card) is best for machine learning and AI?<\/h4>\n\n\n\n<p>NVIDIA dominates for GPU compute acceleration, and is unquestionably the standard. Their GPUs will be the most supported and easiest to work with. There are other accelerators such as a few of the high end AMD GPUs, FPGAs from various manufacturers, and other emerging ML acceleration processors that have potential &#8211; but their availability and usability at this time will preclude our recommending them.<\/p>\n\n\n\n<script type=\"text\/javascript\">\n    jQuery(document).ready(function(){\n        var slid_to = 0;\n        jQuery('#image-gallery-39329').on('slid.bs.carousel', function(e){\n            slid_to = e.to;\n        });\n        jQuery('#image-gallery-39329LargeCarousel').on('slid.bs.carousel', function(e){\n            slid_to = e.to;\n            jQuery('#image-gallery-39329').carousel(slid_to);\n        });\n\n        jQuery('#image-gallery-39329 .carousel-item img').click(function(){\n            jQuery('#image-gallery-39329LargeCarousel').carousel(slid_to);\n        });\n    });\n<\/script>\n\n<div id=\"image-gallery-39329\" class=\"carousel carousel-dark slide gallery\" data-interval=\"false\">\n\t<div class=\"carousel-indicators\">\n\t\t            <div data-target=\"#image-gallery-39329\" data-slide-to=\"0\" class=\"active\">\n                <img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/08\/ML-1-150x150.jpg\" class=\"carousel-thumbnail\" alt=\"NVIDIA TensorFlow ResNet50 FP32 GPU Benchmark Chart\" \/>            <\/div>\n                        <div data-target=\"#image-gallery-39329\" data-slide-to=\"1\" >\n                <img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/08\/ML-2-150x150.jpg\" class=\"carousel-thumbnail\" alt=\"NVIDIA TensorFlow ResNet50 FP16 GPU Benchmark Chart\" \/>            <\/div>\n                        <div data-target=\"#image-gallery-39329\" data-slide-to=\"2\" >\n                <img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/08\/ML-3-150x150.jpg\" class=\"carousel-thumbnail\" alt=\"NVIDIA RTX A5000 TensorFlow ResNet50 FP32 Multi GPU Scaling Watts vs Performance Chart\" \/>            <\/div>\n            \t<\/div><!-- .carousel-indicators -->\n\t\t<div class=\"carousel-inner\">\n\t\t\t\t\t<div class=\"carousel-item active\">\n\n                \t\t\t\t<img decoding=\"async\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/08\/ML-1.jpg\"\n\t\t\t\t     alt=\"NVIDIA TensorFlow ResNet50 FP32 GPU Benchmark Chart\" class=\"d-block mx-auto h-100\" data-id=\"0\" data-toggle=\"modal\" data-target=\"#image-gallery-39329Modal\" \/>\n                \t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"carousel-item \">\n\n                \t\t\t\t<img decoding=\"async\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/08\/ML-2.jpg\"\n\t\t\t\t     alt=\"NVIDIA TensorFlow ResNet50 FP16 GPU Benchmark Chart\" class=\"d-block mx-auto h-100\" data-id=\"1\" data-toggle=\"modal\" data-target=\"#image-gallery-39329Modal\" \/>\n                \t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"carousel-item \">\n\n                \t\t\t\t<img decoding=\"async\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/08\/ML-3.jpg\"\n\t\t\t\t     alt=\"NVIDIA RTX A5000 TensorFlow ResNet50 FP32 Multi GPU Scaling Watts vs Performance Chart\" class=\"d-block mx-auto h-100\" data-id=\"2\" data-toggle=\"modal\" data-target=\"#image-gallery-39329Modal\" \/>\n                \t\t\t<\/div>\n\t\t\t\t<\/div>\n\t<a class=\"carousel-control-prev\" href=\"#image-gallery-39329\" role=\"button\" data-slide=\"prev\">\n\t\t<span class=\"carousel-control-prev-icon\" aria-hidden=\"true\"><\/span>\n\t\t<span class=\"sr-only\">Previous<\/span>\n\t<\/a>\n\t<a class=\"carousel-control-next\" href=\"#image-gallery-39329\" role=\"button\" data-slide=\"next\">\n\t\t<span class=\"carousel-control-next-icon\" aria-hidden=\"true\"><\/span>\n\t\t<span class=\"sr-only\">Next<\/span>\n\t<\/a>\n<\/div>\n<div class=\"gallery-caption\"><\/div>\n\n\n\n\n\n<div class=\"modal fade\" id=\"image-gallery-39329Modal\" 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\">System 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>\n\t\t\t<div class=\"modal-body\">\n\t\t\t\t<div id=\"image-gallery-39329LargeCarousel\" class=\"carousel carousel-dark slide modal-gallery\" data-interval=\"false\">\n\t\t\t\t\t\t\t\t\t<ol class=\"carousel-indicators\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li data-target=\"#image-gallery-39329LargeCarousel\" data-slide-to=\"0\" class=\"active\"><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li data-target=\"#image-gallery-39329LargeCarousel\" data-slide-to=\"1\" ><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li data-target=\"#image-gallery-39329LargeCarousel\" data-slide-to=\"2\" ><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t<\/ol>\n\t\t\t\t\t\t\t\t\t<div class=\"carousel-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"carousel-item active\">\n                                <img loading=\"lazy\" decoding=\"async\" width=\"735\" height=\"544\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/08\/ML-1.jpg\" class=\"d-block mx-auto h-100\" alt=\"NVIDIA TensorFlow ResNet50 FP32 GPU Benchmark Chart\" data-id=\"0\" data-toggle=\"modal\" data-target=\"#image-gallery-39329Modal\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"full-res-image-wrapper text-center\">\n\t\t\t\t\t\t\t\t\t<a class=\"btn btn-light btn-lg\" href=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/08\/ML-1.jpg\" target=\"_blank\">Open Full Resolution <i class=\"fas fa-external-link-alt\"><\/i><\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"carousel-item \">\n                                <img loading=\"lazy\" decoding=\"async\" width=\"742\" height=\"544\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/08\/ML-2.jpg\" class=\"d-block mx-auto h-100\" alt=\"NVIDIA TensorFlow ResNet50 FP16 GPU Benchmark Chart\" data-id=\"1\" data-toggle=\"modal\" data-target=\"#image-gallery-39329Modal\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"full-res-image-wrapper text-center\">\n\t\t\t\t\t\t\t\t\t<a class=\"btn btn-light btn-lg\" href=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/08\/ML-2.jpg\" target=\"_blank\">Open Full Resolution <i class=\"fas fa-external-link-alt\"><\/i><\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"carousel-item \">\n                                <img loading=\"lazy\" decoding=\"async\" width=\"738\" height=\"614\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/08\/ML-3.jpg\" class=\"d-block mx-auto h-100\" alt=\"NVIDIA RTX A5000 TensorFlow ResNet50 FP32 Multi GPU Scaling Watts vs Performance Chart\" data-id=\"2\" data-toggle=\"modal\" data-target=\"#image-gallery-39329Modal\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"full-res-image-wrapper text-center\">\n\t\t\t\t\t\t\t\t\t<a class=\"btn btn-light btn-lg\" href=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/08\/ML-3.jpg\" target=\"_blank\">Open Full Resolution <i class=\"fas fa-external-link-alt\"><\/i><\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<a class=\"carousel-control-prev\" href=\"#image-gallery-39329LargeCarousel\" role=\"button\" data-slide=\"prev\">\n\t\t\t\t\t\t<span class=\"carousel-control-prev-icon\" aria-hidden=\"true\"><\/span>\n\t\t\t\t\t\t<span class=\"sr-only\">Previous<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t<a class=\"carousel-control-next\" href=\"#image-gallery-39329LargeCarousel\" role=\"button\" data-slide=\"next\">\n\t\t\t\t\t\t<span class=\"carousel-control-next-icon\" aria-hidden=\"true\"><\/span>\n\t\t\t\t\t\t<span class=\"sr-only\">Next<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t<\/div><!-- .modal-body -->\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n<h4 class=\"wp-block-heading\">What video cards are recommended for machine learning and AI?<\/h4>\n\n\n\n<p>Almost any NVIDIA graphics card will work, with newer and higher-end models generally offering better performance. Fortunately, most ML \/ AI applications that have GPU acceleration work well with single precision (FP32). In many cases, using Tensor cores (FP16) with mixed precision provides sufficient accuracy for deep learning model training and offers significant performance gains over the &#8220;standard&#8221; FP32. Most recent NVIDIA GPUs have this capability, except for the lower-end cards.<\/p>\n\n\n\n<p>Consumer graphics cards like NVIDIA&#8217;s GeForce RTX 4080 and 4090 give very good performance, but may be difficult to configure in a system with more than two GPUs because of their cooling design and physical size. &#8220;Professional&#8221; NVIDIA GPUs like the RTX A5000 and A6000 are high quality, tend to have more onboard memory, and work well in multi-GPU configurations. The RTX A6000 in particular, with its 48GB VRAM, is recommended for work with data that has &#8220;large feature size&#8221; such as higher resolution images, 3D images, etc.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">How much VRAM (video memory) does machine learning and AI need?<\/h4>\n\n\n\n<p>This is dependent on the &#8220;feature space&#8221; of the model training. Memory capacity on GPUs has been limited and ML models and frameworks have been constrained by available VRAM. This is why it\u2019s common to do &#8220;data and feature reduction&#8221; prior to training. For example, images for training data are usually of low resolution since the number of pixels becomes a limiting critical feature dimension. However, the field has developed with great success despite these limitations! 8GB of memory per GPU is considered minimal and could definitely be a limitation for lots of applications. 12 to 24GB is fairly common, and readily available on high-end video cards. For larger data problems, the 48GB available on the NVIDIA RTX A6000 may be necessary &#8211; but it is not commonly needed.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Will multiple GPUs improve performance in machine learning and AI?<\/h4>\n\n\n\n<p>Generally yes. We default to multiple video cards in our recommended configurations, but the benefit this offers may be limited by the development work you are doing. Multi-GPU acceleration must be supported in the framework or program being used. Fortunately, multi-GPU support is now common in ML and AI applications &#8211; but if you are doing development work without the benefit of a modern framework, then you may have to cope with implementing it yourself.<\/p>\n\n\n\n<p>Also keep in mind that a single GPU like the NVIDIA RTX 3090 or A5000 can provide significant performance and may be enough for your application. Having 2, 3, or even 4 GPUs in a workstation can provide a surprising amount of compute capability and may be sufficient for even many large problems. It is also recommended to have at least two GPUs when doing development work to enable local testing of multi-GPU functionality and scaling &#8211; even if the &#8220;production&#8221; jobs will be off-loaded to separate GPU compute clusters.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Do machine learning and AI run better on NVIDIA or AMD?<\/h4>\n\n\n\n<p>There is some work being done to make AMD GPUs usable in this domain, and soon Intel will enter the field, but realistically NVIDIA dominates and has over a decade of successful, intense research and development work behind there GPUs for compute.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Do machine learning and AI need a &#8220;professional&#8221; video card?<\/h4>\n\n\n\n<p>No. NVIDIA GeForce RTX 3080, 3080 Ti, and 3090 are excellent GPUs for this type of workload. However, due to cooling and size limitations, the &#8220;pro&#8221; series RTX A5000 and high-memory A6000 are best for configurations with three or four GPUs. Historically, modern ML\/AI was developed on NVIDIA gaming GPUs and they are still very common for development workstations. For the most demanding workloads, the amazing NVIDIA compute GPU the A100 can be used in rackmount configurations. They are very expensive but&nbsp;<a href=\"https:\/\/www.pugetsystems.com\/labs\/hpc\/Outstanding-Performance-of-NVIDIA-A100-PCIe-on-HPL-HPL-AI-HPCG-Benchmarks-2149\/\" target=\"_blank\" rel=\"noreferrer noopener\">performance is stunning<\/a>.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Do I need NVLink when using multiple GPUs for machine learning and AI?<\/h4>\n\n\n\n<p>NVIDIA&#8217;s NVLink provides a direct, high-performance communication bridge between a pair of GPUs. Whether this is beneficial or not is problem-type dependent. For training many types of models it is not needed. However, for any models that have a \u201chistory\u201d component such as RNNs, LSTM, time-series and especially Transformer models, NVLink can offer a significant speed-up and is therefore recommended. Please note that not all NVIDIA GPUs support NVLink, and outside of DGX cards it can only bridge two GPUs.<\/p>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-cover is-light full-width\" style=\"min-height:50px;aspect-ratio:unset;\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim-100 has-background-dim\" style=\"background-color:#f2f2f2\"><\/span><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\"><div class=\"wp-bootstrap-blocks-container container mb-0\">\n\t\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-bootstrap-blocks-row row puget-icon-section cta-original\">\n\t\n\n<div class=\"col-12 col-md-6\">\n\t\t\t\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-image size-thumbnail is-resized text-center\"><a href=\"\/solutions\/ai-development-and-deployment\/ai-development-workstations\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/12\/computer-icon.png\" alt=\"Tower Computer Icon in Puget Systems Colors\" class=\"wp-image-12659\" style=\"width:113px;height:113px\" title=\"\"\/><\/a><\/figure>\n\n\n\n<h4 class=\"wp-block-heading has-text-align-center has-text-color\" id=\"h-looking-for-an-ai-development-workstation-0\" style=\"color:#130c64\">Looking for an AI development workstation?<\/h4>\n\n\n\n<p class=\"has-text-align-center\">We build computers that are tailor-made for your workflow.&nbsp;<\/p>\n\n\n<div class=\"wp-bootstrap-blocks-button text-center\">\n\t<a\n\t\thref=\"\/solutions\/ai-development-and-deployment\/ai-development-workstations\/\"\n\t\t\t\t\t\tclass=\"btn btn-primary\"\n\t>\n\t\tConfigure a System\t<\/a>\n<\/div>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\t<\/div>\n\n\n\n<div class=\"col-12 col-md-6\">\n\t\t\t\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-image size-thumbnail is-resized text-center\"><a href=\"\/contact-expert\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/08\/talking-icon.png\" alt=\"Talking Head Icon in Puget Systems Colors\" class=\"wp-image-12657\" style=\"width:113px;height:113px\" title=\"\"\/><\/a><\/figure>\n\n\n\n<h4 class=\"wp-block-heading has-text-align-center has-text-color\" style=\"color:#130c64\">Don&#8217;t know where to start? We can help!<\/h4>\n\n\n\n<p class=\"has-text-align-center\">Get in touch with one of our technical consultants today.<\/p>\n\n\n<div class=\"wp-bootstrap-blocks-button text-center\">\n\t<a\n\t\thref=\"\/contact-expert\/\"\n\t\t\t\t\t\tclass=\"btn btn-primary\"\n\t>\n\t\tTalk to an Expert\t<\/a>\n<\/div>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\t<\/div>\n\n<\/div>\n\n<\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-align-center\" id=\"ram\">Memory (RAM)<\/h3>\n\n\n\n<p>Memory capacity and performance on the CPU side of an ML\/AI system is, of course, dependent on the jobs being run but can be a very important consideration and there are some minimal recommendations.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">How much RAM does machine learning and AI need?<\/h4>\n\n\n\n<p>The first rule of thumb is to have at least double the amount of CPU memory as there is total GPU memory in the system. For example, a system with 2x GeForce RTX 3090 GPUs would have 48GB of total VRAM &#8211; so the system should be configured with 128GB (96GB would be double, but 128GB is usually the closest configurable amount).<\/p>\n\n\n\n<p>The second consideration is how much data analysis will be needed. It is often necessary (or at least desirable) to be able to pull a full data set into memory for processing and statistical work. That could mean BIG memory requirements, as much as 1TB (or rarely even more) of system memory. This is one of the reasons we advise using workstation and server-grade processors: they support substantially more system memory than consumer chips.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-align-center\" id=\"storage\">Storage (Hard Drives)<\/h3>\n\n\n\n<p>Storage is one of those areas where going with &#8220;more than you think you need&#8221; is probably a good idea. Minimum requirements here are similar to CPU memory requirements. After all, your data and projects have to be available!<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">What storage configuration works best for machine learning and AI?<\/h4>\n\n\n\n<p>It\u2019s recommended to use fast NVMe storage whenever possible, since data streaming speeds can become a bottleneck when data is too large to fit in system memory. Staging job runs from NVMe can reduce job run slow downs. NVMe drives are commonly available up to 4TB capacity.<\/p>\n\n\n\n<p>Together with the fast NVMe storage for staging jobs, more traditional SATA-based SSDs offer larger capacities which can be used for data that exceeds the capacity of typical NVMe drives. 8TB is commonly available for SATA SSDs.<\/p>\n\n\n\n<p>Platter drives can be used for archival storage and for very large data sets. 18TB+ capacities are now available.<\/p>\n\n\n\n<p>Additionally, all of the above drive types can be configured in RAID arrays. This does add complexity to the system configuration and may use up slots on the motherboard which would otherwise support additional GPUs &#8211; but can allow for storage space in the 10 to 100s of terabytes.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Should I use network attached storage for machine learning and AI?<\/h4>\n\n\n\n<p>Network attached storage is another consideration. It\u2019s become more common for workstation motherboards to have 10Gb Ethernet ports, allowing for network storage connections with reasonably good performance without the need for more specialized networking add-ons.<\/p>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-cover is-light full-width\" style=\"min-height:50px;aspect-ratio:unset;\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim-100 has-background-dim\" style=\"background-color:#f2f2f2\"><\/span><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\"><div class=\"wp-bootstrap-blocks-container container mb-0\">\n\t\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-bootstrap-blocks-row row puget-icon-section cta-original\">\n\t\n\n<div class=\"col-12 col-md-6\">\n\t\t\t\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-image size-thumbnail is-resized text-center\"><a href=\"\/solutions\/ai-development-and-deployment\/ai-development-workstations\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/12\/computer-icon.png\" alt=\"Tower Computer Icon in Puget Systems Colors\" class=\"wp-image-12659\" style=\"width:113px;height:113px\" title=\"\"\/><\/a><\/figure>\n\n\n\n<h4 class=\"wp-block-heading has-text-align-center has-text-color\" id=\"h-looking-for-an-ai-development-workstation\" style=\"color:#130c64\">Looking for an AI development workstation?<\/h4>\n\n\n\n<p class=\"has-text-align-center\">We build computers that are tailor-made for your workflow.&nbsp;<\/p>\n\n\n<div class=\"wp-bootstrap-blocks-button text-center\">\n\t<a\n\t\thref=\"\/solutions\/ai-development-and-deployment\/ai-development-workstations\/\"\n\t\t\t\t\t\tclass=\"btn btn-primary\"\n\t>\n\t\tConfigure a System\t<\/a>\n<\/div>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\t<\/div>\n\n\n\n<div class=\"col-12 col-md-6\">\n\t\t\t\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-image size-thumbnail is-resized text-center\"><a href=\"\/contact-expert\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/wp-cdn.pugetsystems.com\/2022\/08\/talking-icon.png\" alt=\"Talking Head Icon in Puget Systems Colors\" class=\"wp-image-12657\" style=\"width:113px;height:113px\" title=\"\"\/><\/a><\/figure>\n\n\n\n<h4 class=\"wp-block-heading has-text-align-center has-text-color\" style=\"color:#130c64\">Don&#8217;t know where to start? We can help!<\/h4>\n\n\n\n<p class=\"has-text-align-center\">Get in touch with one of our technical consultants today.<\/p>\n\n\n<div class=\"wp-bootstrap-blocks-button text-center\">\n\t<a\n\t\thref=\"\/contact-expert\/\"\n\t\t\t\t\t\tclass=\"btn btn-primary\"\n\t>\n\t\tTalk to an Expert\t<\/a>\n<\/div>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\t<\/div>\n\n<\/div>\n\n<\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns 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\">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\/hpc\/standing-up-ai-development-quickly-for-supercomputing-2025\/\" title=\"Standing Up AI Development Quickly for Supercomputing 2025\">Standing Up AI Development Quickly for Supercomputing 2025<\/a>\n\t\t\t\t<\/li>\n\t\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\/hpc\/exploring-hybrid-cpu-gpu-llm-inference\/\" title=\"Exploring Hybrid CPU\/GPU LLM Inference\">Exploring Hybrid CPU\/GPU LLM Inference<\/a>\n\t\t\t\t<\/li>\n\t\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\/hpc\/whats-the-deal-with-npus\/\" title=\"What&#8217;s the deal with NPUs?\">What&#8217;s the deal with NPUs?<\/a>\n\t\t\t\t<\/li>\n\t\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\/hpc\/local-alternatives-to-cloud-ai-services\/\" title=\"Local alternatives to Cloud AI services\">Local alternatives to Cloud AI services<\/a>\n\t\t\t\t<\/li>\n\t\t\t\t<\/ul>\n\t \n\t<a class=\"view-term-link\" href=\"\/all_articles?filter=machine-learning\">View\n\t\tAll Related Content<\/a>\n\t<\/div><\/div>\n\n\n\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\">Latest Content<\/h3>\n\n\n \n<div class=\"latest-content\">\n\t<ul class=\"latest-content-list\">\n\t\t\t\t\t\t<li class=\"latest-content-list-item\">\n\t\t\t\t\t<a href=\"https:\/\/www.pugetsystems.com\/labs\/hpc\/standing-up-ai-development-quickly-for-supercomputing-2025\/\" title=\"Standing Up AI Development Quickly for Supercomputing 2025\">Standing Up AI Development Quickly for Supercomputing 2025<\/a>\n\t\t\t\t<\/li>\n\t\t\t\t\t\t\t<li class=\"latest-content-list-item\">\n\t\t\t\t\t<a href=\"https:\/\/www.pugetsystems.com\/labs\/hpc\/exploring-hybrid-cpu-gpu-llm-inference\/\" title=\"Exploring Hybrid CPU\/GPU LLM Inference\">Exploring Hybrid CPU\/GPU LLM Inference<\/a>\n\t\t\t\t<\/li>\n\t\t\t\t\t\t\t<li class=\"latest-content-list-item\">\n\t\t\t\t\t<a href=\"https:\/\/www.pugetsystems.com\/labs\/hpc\/whats-the-deal-with-npus\/\" title=\"What&#8217;s the deal with NPUs?\">What&#8217;s the deal with NPUs?<\/a>\n\t\t\t\t<\/li>\n\t\t\t\t\t\t\t<li class=\"latest-content-list-item\">\n\t\t\t\t\t<a href=\"https:\/\/www.pugetsystems.com\/labs\/hpc\/local-alternatives-to-cloud-ai-services\/\" title=\"Local alternatives to Cloud AI services\">Local alternatives to Cloud AI services<\/a>\n\t\t\t\t<\/li>\n\t\t\t\t<\/ul>\n\t \n\t\t<a href=\"https:\/\/www.pugetsystems.com\/all-hpc\/\" class=\"view-posts-link\">View All<\/a>\n\t<\/div><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Our hardware recommendations for AI development workstations are based on research and hands-on testing our Puget Labs team has conducted over the years.<\/p>\n","protected":false},"author":4,"featured_media":41755,"parent":41709,"menu_order":0,"template":"","meta":{"_acf_changed":true,"content-type":"","classic-editor-remember":"","legacy_id":"","redirect_url":[],"expire_date":"","alert_message":"","alert_link":[],"configure_ids":"","system_grid_title":"","system_grid_ids":""},"coauthors":[9075],"class_list":["post-41710","recommended_system","type-recommended_system","status-publish","has-post-thumbnail","hentry"],"acf":{"related_case_studies":"","short_title":"Hardware Recommendations for AI Development","system_id":0,"linked_workflow":41696,"system_cost":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.7 (Yoast SEO v26.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Hardware Recommendations for AI Development | Puget Systems<\/title>\n<meta name=\"description\" content=\"Our hardware recommendations for AI development workstations are based on research and hands-on testing our Puget Labs team has conducted over the years.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Hardware Recommendations\" \/>\n<meta property=\"og:description\" content=\"Our hardware recommendations for AI development workstations are based on research and hands-on testing our Puget Labs team has conducted over the years.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/\" \/>\n<meta property=\"og:site_name\" content=\"Puget Systems\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/PugetSystems\" \/>\n<meta property=\"article:modified_time\" content=\"2025-12-10T17:01:07+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/wp-cdn.pugetsystems.com\/2025\/11\/code.png\" \/>\n\t<meta property=\"og:image:width\" content=\"500\" \/>\n\t<meta property=\"og:image:height\" content=\"500\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@PugetSystems\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"29 minutes\" \/>\n\t<meta name=\"twitter:label2\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data2\" content=\"pugetsystems\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/\",\"url\":\"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/\",\"name\":\"Hardware Recommendations for AI Development | Puget Systems\",\"isPartOf\":{\"@id\":\"https:\/\/www.pugetsystems.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/wp-cdn.pugetsystems.com\/2025\/11\/code.png\",\"datePublished\":\"2025-11-14T21:20:40+00:00\",\"dateModified\":\"2025-12-10T17:01:07+00:00\",\"description\":\"Our hardware recommendations for AI development workstations are based on research and hands-on testing our Puget Labs team has conducted over the years.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/#primaryimage\",\"url\":\"https:\/\/wp-cdn.pugetsystems.com\/2025\/11\/code.png\",\"contentUrl\":\"https:\/\/wp-cdn.pugetsystems.com\/2025\/11\/code.png\",\"width\":500,\"height\":500,\"caption\":\"Code Icon in Puget Colors\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.pugetsystems.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Solutions\",\"item\":\"https:\/\/www.pugetsystems.com\/solutions\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"AI Development and Deployment\",\"item\":\"https:\/\/www.pugetsystems.com\/solutions\/ai\/\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"AI Development Workstations\",\"item\":\"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/\"},{\"@type\":\"ListItem\",\"position\":5,\"name\":\"Hardware Recommendations\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.pugetsystems.com\/#website\",\"url\":\"https:\/\/www.pugetsystems.com\/\",\"name\":\"Puget Systems\",\"description\":\"Workstations for creators.\",\"publisher\":{\"@id\":\"https:\/\/www.pugetsystems.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.pugetsystems.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.pugetsystems.com\/#organization\",\"name\":\"Puget Systems\",\"url\":\"https:\/\/www.pugetsystems.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.pugetsystems.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.pugetsystems.com\/wp-content\/uploads\/2022\/08\/Puget-Systems-2020-logo-color-full.png\",\"contentUrl\":\"https:\/\/www.pugetsystems.com\/wp-content\/uploads\/2022\/08\/Puget-Systems-2020-logo-color-full.png\",\"width\":2560,\"height\":363,\"caption\":\"Puget Systems\"},\"image\":{\"@id\":\"https:\/\/www.pugetsystems.com\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/PugetSystems\",\"https:\/\/x.com\/PugetSystems\",\"https:\/\/www.instagram.com\/pugetsystems\/\",\"https:\/\/www.linkedin.com\/company\/puget-systems\",\"https:\/\/www.youtube.com\/user\/pugetsys\",\"https:\/\/en.wikipedia.org\/wiki\/Puget_Systems\"],\"telephone\":\"(425) 458-0273\",\"legalName\":\"Puget Sound Systems, Inc.\",\"foundingDate\":\"2000-12-01\",\"duns\":\"128267585\",\"naics\":\"334111\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Hardware Recommendations for AI Development | Puget Systems","description":"Our hardware recommendations for AI development workstations are based on research and hands-on testing our Puget Labs team has conducted over the years.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/","og_locale":"en_US","og_type":"article","og_title":"Hardware Recommendations","og_description":"Our hardware recommendations for AI development workstations are based on research and hands-on testing our Puget Labs team has conducted over the years.","og_url":"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/","og_site_name":"Puget Systems","article_publisher":"https:\/\/www.facebook.com\/PugetSystems","article_modified_time":"2025-12-10T17:01:07+00:00","og_image":[{"width":500,"height":500,"url":"https:\/\/wp-cdn.pugetsystems.com\/2025\/11\/code.png","type":"image\/png"}],"twitter_card":"summary_large_image","twitter_site":"@PugetSystems","twitter_misc":{"Est. reading time":"29 minutes","Written by":"pugetsystems"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/","url":"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/","name":"Hardware Recommendations for AI Development | Puget Systems","isPartOf":{"@id":"https:\/\/www.pugetsystems.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/#primaryimage"},"image":{"@id":"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/#primaryimage"},"thumbnailUrl":"https:\/\/wp-cdn.pugetsystems.com\/2025\/11\/code.png","datePublished":"2025-11-14T21:20:40+00:00","dateModified":"2025-12-10T17:01:07+00:00","description":"Our hardware recommendations for AI development workstations are based on research and hands-on testing our Puget Labs team has conducted over the years.","breadcrumb":{"@id":"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/#primaryimage","url":"https:\/\/wp-cdn.pugetsystems.com\/2025\/11\/code.png","contentUrl":"https:\/\/wp-cdn.pugetsystems.com\/2025\/11\/code.png","width":500,"height":500,"caption":"Code Icon in Puget Colors"},{"@type":"BreadcrumbList","@id":"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/hardware-recommendations\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.pugetsystems.com\/"},{"@type":"ListItem","position":2,"name":"Solutions","item":"https:\/\/www.pugetsystems.com\/solutions\/"},{"@type":"ListItem","position":3,"name":"AI Development and Deployment","item":"https:\/\/www.pugetsystems.com\/solutions\/ai\/"},{"@type":"ListItem","position":4,"name":"AI Development Workstations","item":"https:\/\/www.pugetsystems.com\/solutions\/ai\/develop\/"},{"@type":"ListItem","position":5,"name":"Hardware Recommendations"}]},{"@type":"WebSite","@id":"https:\/\/www.pugetsystems.com\/#website","url":"https:\/\/www.pugetsystems.com\/","name":"Puget Systems","description":"Workstations for creators.","publisher":{"@id":"https:\/\/www.pugetsystems.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.pugetsystems.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.pugetsystems.com\/#organization","name":"Puget Systems","url":"https:\/\/www.pugetsystems.com\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.pugetsystems.com\/#\/schema\/logo\/image\/","url":"https:\/\/www.pugetsystems.com\/wp-content\/uploads\/2022\/08\/Puget-Systems-2020-logo-color-full.png","contentUrl":"https:\/\/www.pugetsystems.com\/wp-content\/uploads\/2022\/08\/Puget-Systems-2020-logo-color-full.png","width":2560,"height":363,"caption":"Puget Systems"},"image":{"@id":"https:\/\/www.pugetsystems.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/PugetSystems","https:\/\/x.com\/PugetSystems","https:\/\/www.instagram.com\/pugetsystems\/","https:\/\/www.linkedin.com\/company\/puget-systems","https:\/\/www.youtube.com\/user\/pugetsys","https:\/\/en.wikipedia.org\/wiki\/Puget_Systems"],"telephone":"(425) 458-0273","legalName":"Puget Sound Systems, Inc.","foundingDate":"2000-12-01","duns":"128267585","naics":"334111"}]}},"_links":{"self":[{"href":"https:\/\/www.pugetsystems.com\/wp-json\/wp\/v2\/recommended_system\/41710","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.pugetsystems.com\/wp-json\/wp\/v2\/recommended_system"}],"about":[{"href":"https:\/\/www.pugetsystems.com\/wp-json\/wp\/v2\/types\/recommended_system"}],"author":[{"embeddable":true,"href":"https:\/\/www.pugetsystems.com\/wp-json\/wp\/v2\/users\/4"}],"up":[{"embeddable":true,"href":"https:\/\/www.pugetsystems.com\/wp-json\/wp\/v2\/recommended_system\/41709"}],"acf:post":[{"embeddable":true,"href":"https:\/\/www.pugetsystems.com\/wp-json\/wp\/v2\/workflow\/41696"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.pugetsystems.com\/wp-json\/wp\/v2\/media\/41755"}],"wp:attachment":[{"href":"https:\/\/www.pugetsystems.com\/wp-json\/wp\/v2\/media?parent=41710"}],"wp:term":[{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.pugetsystems.com\/wp-json\/wp\/v2\/coauthors?post=41710"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}