The CARINA 1× RTX PRO 5000 Blackwell AI Workstation is RDP’s upper-entry, single-GPU AI machine on NVIDIA’s current Blackwell generation — one RTX PRO 5000 Blackwell with 48 GB of GDDR7 in a quiet, air-cooled desk-side tower. It gives a developer or small team a private, on-premises workstation with the memory headroom to fine-tune and serve genuinely useful models — with Blackwell FP4 for efficient inference, data kept in-house, INR pricing, and day-one readiness.<\/p>\n
A workstation-class Intel Xeon W-2500 with ECC memory, 128 GB DDR5 and 2 TB NVMe keep the GPU fed for sustained iteration — the strongest single-GPU rung of CARINA before stepping into 96 GB or multi-GPU.<\/p>\n
Engineering note:<\/em> a single 48 GB card keeps the setup simple. For models or batches beyond 48 GB, step up within the line.<\/p>\n This sits at the develop-and-fine-tune<\/strong> stage: a single-engineer workstation with enough memory to fine-tune mid-size models and serve them on-desk, on current-generation hardware — far cheaper to own than continuous cloud rental, and private by design.<\/p>\n No inflated peak numbers: a single 48 GB RTX PRO 5000 Blackwell is sized for QLoRA up to ~20B and inference of quantised models up to ~34B. Request a free benchmark of your model on this exact configuration before you buy.<\/strong><\/p>\n For sustained development, owning beats renting: a cloud GPU running continuously adds up within months, and on-prem removes egress fees while keeping data in-house. RDP pricing is fixed in INR with a GST input-credit-eligible invoice — ask for a 3-year TCO comparison.<\/p>\n Ships pre-loaded: NVIDIA driver, CUDA, cuDNN, Docker and the NVIDIA Container Toolkit, with PyTorch \/ TensorFlow on Ubuntu LTS. Optional managed AI-stack setup available.<\/p>\n A single ~300 W-class GPU plus the Xeon W runs on a standard office circuit, air-cooled and quiet. (Exact PSU rating, BTU and dB(A) confirmed on the build sheet.)<\/em><\/p>\n 14 years of Make-in-India infrastructure and 300,000+ devices shipped<\/strong>. Indian OEM, INR pricing, GST tax invoice (HSN 8471), pan-India onsite engineers, GeM availability, and DPDP \/ sovereign-AI-ready deployment.<\/p>\n Talk to an RDP solution architect<\/strong>, get a configuration and TCO tailored to your workload, and benchmark your own model on it before you commit.<\/strong> Request a quote to begin.<\/p>\n","protected":false},"excerpt":{"rendered":" Intel Xeon W-2500 \u00b7 128 GB DDR5 ECC \u00b7 2 TB NVMe \u00b7 Tower<\/p>\n","protected":false},"featured_media":2074,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"CARINA 1\u00d7 RTX PRO 5000 Blackwell AI Workstation \u2014 Xeon W, 128GB ECC, 48GB GPU | RDP GPU Mart","rank_math_description":"Upper-entry single-GPU AI workstation on NVIDIA Blackwell \u2014 RTX PRO 5000 Blackwell 48GB GDDR7, Xeon W-2500, 128GB ECC, 2TB NVMe. Fine-tune up to ~20B & serve up to ~34B on-prem. Make-in-India, GST, pan-India onsite. Request a quote.","_hermes_jsonld":""},"product_brand":[],"product_cat":[21],"product_tag":[83],"class_list":["post-27","product","type-product","status-publish","has-post-thumbnail","product_cat-ai-workstations","product_tag-ready-to-buy","pa_form-factor-tower","pa_gpu-model-nvidia-rtx-pro-5000-blackwell","pa_industry-automotive-mobility","pa_industry-bfsi-hft","pa_industry-enterprise-gccs","pa_industry-healthcare-life-sciences","pa_industry-manufacturing-industrial","pa_industry-media-gaming-entertainment","pa_industry-public-sector-sovereign-ai","pa_industry-research-higher-education","pa_industry-retail-ecommerce","pa_series-carina","pa_use-case-agentic-ai","pa_use-case-computer-vision","pa_use-case-generative-ai","pa_use-case-inference","pa_use-case-fine-tuning","pa_use-case-nlp-speech","pa_use-case-rag","pa_workload-fit-single-gpu-fine-tune-inference","first","onbackorder","taxable","shipping-taxable","product-type-simple"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/27","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/comments?post=27"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/2074"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=27"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=27"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=27"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=27"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}AI workload positioning<\/h3>\n
Industry use cases<\/h3>\n
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Performance — and how to be sure<\/h3>\n
Series & upgrade path<\/h3>\n
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On-prem vs cloud — the TCO case<\/h3>\n
Software & day-one readiness<\/h3>\n
Power, thermal & acoustics<\/h3>\n
Deployment, warranty & support<\/h3>\n
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Why RDP<\/h3>\n
Buy with confidence<\/h3>\n