The CARINA 1× RTX PRO 4500 Blackwell AI Workstation is RDP’s entry-tier, single-GPU AI machine on NVIDIA’s current Blackwell generation — one RTX PRO 4500 Blackwell with 32 GB of GDDR7 in a quiet, air-cooled desk-side tower. It gives a developer or small team a private, on-premises workstation to build, fine-tune and run modern AI models — with Blackwell’s FP4 acceleration for efficient inference, your data kept in-house, costs fixed in INR, and day-one readiness.<\/p>\n
A workstation-class Intel Xeon W-2500 with ECC memory, 64 GB DDR5 and 2 TB NVMe keep the GPU fed for real iteration — the entry rung of the CARINA → QUASAR → DRACO ladder, on this year’s silicon rather than last year’s.<\/p>\n
Engineering note:<\/em> a single 32 GB card keeps the setup simple — no multi-GPU partitioning. For larger models or batches, step up within the line.<\/p>\n This sits at the develop-and-prototype<\/strong> stage: a single-engineer workstation for building and fine-tuning small-to-mid models and running on-desk inference on current-generation hardware — far cheaper to own than continuous cloud rental, and private by design.<\/p>\n No inflated peak numbers: a single 32 GB RTX PRO 4500 Blackwell is sized for QLoRA of 7B–13B and inference of quantised models up to ~30–34B. Request a free benchmark of your model on this exact configuration before you buy.<\/strong><\/p>\n For day-in, day-out 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 ~200 W GPU plus the Xeon W runs comfortably on a standard office circuit, air-cooled and quiet at the desk. (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 64 GB DDR5 ECC \u00b7 2 TB NVMe \u00b7 Tower<\/p>\n","protected":false},"featured_media":1596,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"CARINA 1\u00d7 RTX PRO 4500 Blackwell AI Workstation \u2014 Xeon W, 64GB ECC, 32GB GPU | RDP GPU Mart","rank_math_description":"Entry-tier single-GPU AI workstation on NVIDIA Blackwell \u2014 RTX PRO 4500 Blackwell 32GB GDDR7, Xeon W-2500, 64GB ECC, 2TB NVMe. Fine-tune 7B\u201313B & 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-26","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-4500-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-entry-fine-tune-inference","first","onbackorder","taxable","shipping-taxable","product-type-simple"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/26","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=26"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/1596"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=26"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=26"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=26"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=26"}],"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