{"id":1705,"date":"2026-06-26T04:07:40","date_gmt":"2026-06-26T04:07:40","guid":{"rendered":"https:\/\/rdp.in\/gpu-mart\/use-cases\/"},"modified":"2026-06-26T04:07:40","modified_gmt":"2026-06-26T04:07:40","slug":"use-cases","status":"publish","type":"page","link":"https:\/\/rdp.in\/gpu-mart\/use-cases\/","title":{"rendered":"Shop by Use Case"},"content":{"rendered":"<style>\n\/* (1) Hub pages only (this style loads only where the shortcode runs): kill the extra top space above the hero\n   \u2192 hero sits ~40px under the nav (v1.4: also trim main's 70px top margin to 26px). *\/\nbody .wp-block-post-title,body .entry-title{display:none!important}\nbody main>.wp-block-group.has-global-padding{padding-top:0!important}\nbody .entry-content.wp-block-post-content{margin-top:0!important}\nbody main{margin-top:26px!important}\n.gmhub{max-width:1180px;margin:0 auto;padding:0 24px 56px;font-family:'Open Sans',system-ui,Arial,sans-serif;color:#3a3a3a}\n.gmhub-hero{background:linear-gradient(90deg,#0e0e0e 0%,rgba(14,14,14,.92) 28%,rgba(20,12,14,.5) 58%,rgba(42,15,16,.14) 100%),var(--gm-hub-hero,none) center right\/cover no-repeat,#0e0e0e;color:#fff;border-radius:18px;margin:14px 0 26px;padding:38px 40px}\n.gmhub-hero .ov{font-family:'Montserrat',Arial,sans-serif;font-size:12px;letter-spacing:.08em;text-transform:uppercase;color:#ffb3b5;font-weight:700;margin:0 0 8px}\n.gmhub-hero h1{font-family:'Montserrat',Arial,sans-serif;font-weight:800;font-size:30px;color:#fff;margin:0 0 10px}\n.gmhub-hero p{color:#d6d6d6;font-size:15px;line-height:1.6;max-width:640px;margin:0}\n\/* (2) ONE uniform card, 3-up flex grid both hubs; centered incomplete last row; equal heights. *\/\n.gmhub-grid{display:flex;flex-wrap:wrap;justify-content:center;gap:18px}\n.gmhub-card{box-sizing:border-box;flex:0 1 calc((100% - 36px)\/3);display:flex;flex-direction:column;background:#fff;border:1px solid #e7e8ec;border-radius:14px;box-shadow:0 1px 3px rgba(17,17,17,.05);padding:22px;text-decoration:none;color:inherit;transition:.15s}\n.gmhub-card:hover{box-shadow:0 8px 24px rgba(17,17,17,.10);transform:translateY(-2px);border-color:#dcdcdc}\n.gmhub-card h3{font-family:'Montserrat',Arial,sans-serif;font-weight:800;font-size:18px;color:#111;margin:0 0 8px;line-height:1.3}\n.gmhub-card p{font-size:13.5px;color:#6a6a6a;line-height:1.5;margin:0 0 16px;flex:1}\n.gmhub-card .go{font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:13px;color:#d82228}\n.gmhub-card .n{font-size:12px;color:#9aa0a6;font-weight:600}\n.gmhub-cta{display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;background:linear-gradient(135deg,#d82228,#b91c1c);color:#fff;border-radius:18px;padding:28px 36px;margin:34px 0 0}\n.gmhub-cta h2{font-family:'Montserrat',Arial,sans-serif;font-weight:800;font-size:21px;color:#fff;margin:0 0 5px}\n.gmhub-cta p{color:#ffe3e4;font-size:14px;margin:0;max-width:560px}\n.gmhub-cta .acts{display:flex;gap:10px;flex-wrap:wrap}\n.gmhub-cta a{font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:13px;padding:12px 18px;border-radius:10px;text-decoration:none}\n.gmhub-cta .pri{background:#fff;color:#d82228}\n.gmhub-cta .sec{background:transparent;color:#fff;border:1.5px solid rgba(255,255,255,.6)}\n@media(max-width:1023px){.gmhub-card{flex-basis:calc((100% - 18px)\/2)}}\n@media(max-width:767px){.gmhub-card{flex-basis:100%}.gmhub-hero{padding:28px 24px;background-image:linear-gradient(180deg,rgba(8,8,9,.80),rgba(8,8,9,.66)),var(--gm-hub-hero,none)}.gmhub-cta{padding:24px}}\n<\/style>\n<div class=\"gmhub\">\n\t<section class=\"gmhub-hero\" style=\"--gm-hub-hero:url(https:\/\/rdp.in\/gpu-mart\/wp-content\/uploads\/2026\/06\/gpu-mart-plphero-gpu-servers.webp)\">\n\t\t<div class=\"ov\">Shop by use case<\/div>\n\t\t<h1>Shop by Use Case<\/h1>\n\t\t<p>Find systems by what you are building \u2014 training, inference, RAG, computer vision, HPC and AI, and sovereign AI.<\/p>\t<\/section>\n\t<div class=\"gmhub-grid\">\n\t\t\t\t\t<a class=\"gmhub-card\" href=\"https:\/\/rdp.in\/gpu-mart\/use-cases\/inference\/\">\n\t\t\t\t<h3>Systems for AI inference<\/h3>\n\t\t\t\t<p>Right-sized GPUs for high-throughput, low-latency serving.<\/p>\n\t\t\t\t<span class=\"go\">View systems &rarr; <span class=\"n\">56<\/span><\/span>\n\t\t\t<\/a>\n\t\t\t\t\t<a class=\"gmhub-card\" href=\"https:\/\/rdp.in\/gpu-mart\/use-cases\/llm-training\/\">\n\t\t\t\t<h3>Systems for LLM training<\/h3>\n\t\t\t\t<p>Multi-GPU and rack-scale systems for 7B\u2013trillion-parameter training.<\/p>\n\t\t\t\t<span class=\"go\">View systems &rarr; <span class=\"n\">47<\/span><\/span>\n\t\t\t<\/a>\n\t\t\t\t\t<a class=\"gmhub-card\" href=\"https:\/\/rdp.in\/gpu-mart\/use-cases\/hpc-ai\/\">\n\t\t\t\t<h3>Systems for HPC &amp; AI<\/h3>\n\t\t\t\t<p>Converged HPC + AI clusters with high-bandwidth fabric.<\/p>\n\t\t\t\t<span class=\"go\">View systems &rarr; <span class=\"n\">39<\/span><\/span>\n\t\t\t<\/a>\n\t\t\t\t\t<a class=\"gmhub-card\" href=\"https:\/\/rdp.in\/gpu-mart\/use-cases\/sovereign-ai\/\">\n\t\t\t\t<h3>Systems for sovereign AI<\/h3>\n\t\t\t\t<p>AI factories on sovereign Indian infrastructure \u2014 DPDP, GeM.<\/p>\n\t\t\t\t<span class=\"go\">View systems &rarr; <span class=\"n\">38<\/span><\/span>\n\t\t\t<\/a>\n\t\t\t\t\t<a class=\"gmhub-card\" href=\"https:\/\/rdp.in\/gpu-mart\/use-cases\/generative-ai\/\">\n\t\t\t\t<h3>Systems for generative AI<\/h3>\n\t\t\t\t<p>Train and serve image, video and content models \u2014 NVLink, fast NVMe, liquid-ready.<\/p>\n\t\t\t\t<span class=\"go\">View systems &rarr; <span class=\"n\">37<\/span><\/span>\n\t\t\t<\/a>\n\t\t\t\t\t<a class=\"gmhub-card\" href=\"https:\/\/rdp.in\/gpu-mart\/use-cases\/digital-twins-simulation\/\">\n\t\t\t\t<h3>Systems for digital twins &amp; simulation<\/h3>\n\t\t\t\t<p>Converged HPC + GPU for physics simulation and real-time digital twins.<\/p>\n\t\t\t\t<span class=\"go\">View systems &rarr; <span class=\"n\">37<\/span><\/span>\n\t\t\t<\/a>\n\t\t\t\t\t<a class=\"gmhub-card\" href=\"https:\/\/rdp.in\/gpu-mart\/use-cases\/fine-tuning\/\">\n\t\t\t\t<h3>Systems for model fine-tuning<\/h3>\n\t\t\t\t<p>Right-sized multi-GPU systems to adapt 7B\u201370B models to your data.<\/p>\n\t\t\t\t<span class=\"go\">View systems &rarr; <span class=\"n\">36<\/span><\/span>\n\t\t\t<\/a>\n\t\t\t\t\t<a class=\"gmhub-card\" href=\"https:\/\/rdp.in\/gpu-mart\/use-cases\/nlp-speech\/\">\n\t\t\t\t<h3>Systems for NLP &amp; speech<\/h3>\n\t\t\t\t<p>GPU systems for language models, ASR\/TTS and real-time translation.<\/p>\n\t\t\t\t<span class=\"go\">View systems &rarr; <span class=\"n\">28<\/span><\/span>\n\t\t\t<\/a>\n\t\t\t\t\t<a class=\"gmhub-card\" href=\"https:\/\/rdp.in\/gpu-mart\/use-cases\/computer-vision\/\">\n\t\t\t\t<h3>Systems for computer vision<\/h3>\n\t\t\t\t<p>GPU systems to train and deploy vision models.<\/p>\n\t\t\t\t<span class=\"go\">View systems &rarr; <span class=\"n\">27<\/span><\/span>\n\t\t\t<\/a>\n\t\t\t\t\t<a class=\"gmhub-card\" href=\"https:\/\/rdp.in\/gpu-mart\/use-cases\/agentic-ai\/\">\n\t\t\t\t<h3>Systems for agentic AI<\/h3>\n\t\t\t\t<p>Build and run autonomous AI agents \u2014 from edge AI PCs to GPU servers.<\/p>\n\t\t\t\t<span class=\"go\">View systems &rarr; <span class=\"n\">27<\/span><\/span>\n\t\t\t<\/a>\n\t\t\t\t\t<a class=\"gmhub-card\" href=\"https:\/\/rdp.in\/gpu-mart\/use-cases\/rag\/\">\n\t\t\t\t<h3>Systems for RAG &amp; retrieval<\/h3>\n\t\t\t\t<p>Balanced GPU + fast-NVMe for retrieval-augmented generation.<\/p>\n\t\t\t\t<span class=\"go\">View systems &rarr; <span class=\"n\">19<\/span><\/span>\n\t\t\t<\/a>\n\t\t\t\t\t<a class=\"gmhub-card\" href=\"https:\/\/rdp.in\/gpu-mart\/use-cases\/recommendation-personalization\/\">\n\t\t\t\t<h3>Systems for recommendation &amp; personalization<\/h3>\n\t\t\t\t<p>High-throughput inference and fast data pipelines for recommender systems.<\/p>\n\t\t\t\t<span class=\"go\">View systems &rarr; <span class=\"n\">19<\/span><\/span>\n\t\t\t<\/a>\n\t\t\t<\/div>\n\t<section class=\"gmhub-cta\">\n\t\t<div>\n\t\t\t<h2>Not sure which fits your workload?<\/h2>\n\t\t\t<p>Talk to our solution architects for multi-node fabric design, financing &amp; GPU-as-a-Service \u2014 or configure a build and get an instant indicative price.<\/p>\n\t\t<\/div>\n\t\t<div class=\"acts\">\n\t\t\t<a class=\"pri\" href=\"https:\/\/rdp.in\/contact?type=gpu-mart-quote\">Talk to an architect<\/a>\n\t\t\t<a class=\"sec\" href=\"https:\/\/rdp.in\/gpu-mart\/build\/\">Configure a build<\/a>\n\t\t<\/div>\n\t<\/section>\n<\/div>\n\t\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":0,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1705","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/pages\/1705","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/types\/page"}],"replies":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/comments?post=1705"}],"version-history":[{"count":0,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/pages\/1705\/revisions"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=1705"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}