{"id":89,"date":"2026-06-14T16:55:58","date_gmt":"2026-06-14T16:55:58","guid":{"rendered":"https:\/\/rdp.in\/gpu-mart\/product\/rdp-aix-2900-dual-gpu-workstation-lite\/"},"modified":"2026-07-06T01:47:39","modified_gmt":"2026-07-06T01:47:39","slug":"carina-1x-rtx-pro-6000-blackwell-ai-workstation","status":"publish","type":"product","link":"https:\/\/rdp.in\/gpu-mart\/product\/carina-1x-rtx-pro-6000-blackwell-ai-workstation\/","title":{"rendered":"CARINA 1\u00d7 RTX PRO 6000 Blackwell AI Workstation"},"content":{"rendered":"<p>The CARINA 1&times; RTX PRO 6000 Blackwell AI Workstation is RDP&rsquo;s big-memory single-GPU AI machine on NVIDIA&rsquo;s current Blackwell generation &mdash; one RTX PRO 6000 Blackwell with a full <strong>96&nbsp;GB of GDDR7<\/strong> in a quiet, air-cooled desk-side tower. It is the most capable single-card workstation in the line: enough memory to fine-tune and serve genuinely large models locally, without multi-GPU complexity &mdash; with Blackwell FP4 for efficient inference, data kept in-house, INR pricing, and day-one readiness.<\/p>\n<p>A workstation-class Intel Xeon W-3500 with ECC memory, 128&nbsp;GB DDR5 and 4&nbsp;TB NVMe keep that 96&nbsp;GB GPU fed for sustained work &mdash; the top of CARINA before stepping into multi-GPU QUASAR\/DRACO.<\/p>\n<h3>Key highlights<\/h3>\n<ul>\n<li><strong>96&nbsp;GB on a single RTX PRO 6000 Blackwell<\/strong> &mdash; one of the largest single-card pools available; fine-tune and serve large models with no partitioning.<\/li>\n<li><strong>Blackwell + FP4<\/strong> &mdash; current-generation architecture with efficient low-precision inference; ECC GPU memory.<\/li>\n<li><strong>Intel Xeon W-3500 + 128&nbsp;GB DDR5 ECC<\/strong> &mdash; high-core workstation platform with error-correcting memory.<\/li>\n<li><strong>4&nbsp;TB NVMe<\/strong> &mdash; fast local datasets, checkpoints and weights; no egress fees.<\/li>\n<li><strong>Quiet, air-cooled tower<\/strong> &mdash; office-friendly.<\/li>\n<li><strong>On-prem data sovereignty<\/strong> &mdash; IP and data stay in-house; DPDP-friendly.<\/li>\n<li><strong>Make-in-India OEM<\/strong> &mdash; INR pricing, GST invoice (HSN&nbsp;8471), pan-India onsite support, GeM-procurable.<\/li>\n<\/ul>\n<h3>AI workload fit<\/h3>\n<ul>\n<li><strong>Inference:<\/strong> serve quantised models up to ~<strong>70B<\/strong> (4-bit) on the single 96&nbsp;GB card; FP4 boosts throughput.<\/li>\n<li><strong>Fine-tuning:<\/strong> QLoRA \/ LoRA up to ~<strong>34&ndash;70B<\/strong>; full fine-tuning of 7B&ndash;13B models.<\/li>\n<li><strong>Build &amp; serve:<\/strong> vision, multimodal, RAG and agentic workloads &mdash; locally, with no cloud bill.<\/li>\n<\/ul>\n<p><em>Engineering note:<\/em> 96&nbsp;GB on one card avoids multi-GPU partitioning entirely &mdash; the simplest way to work with large models. For more throughput or parallel jobs, step up to 2&times;\/4&times; in QUASAR\/DRACO.<\/p>\n<h3>AI workload positioning<\/h3>\n<p>This sits at the <strong>fine-tune-and-deploy<\/strong> stage in a single box: enough memory for large-model work on-desk, far cheaper to own than a cluster, and private by design. The natural choice when one big GPU beats juggling several.<\/p>\n<h3>Industry use cases<\/h3>\n<ul>\n<li><strong>Software &amp; AI teams<\/strong> &mdash; large-model fine-tuning and agentic development on one box.<\/li>\n<li><strong>Research &amp; higher-ed<\/strong> &mdash; NLP, multimodal and speech research.<\/li>\n<li><strong>Healthcare &amp; BFSI<\/strong> &mdash; on-prem fine-tuning of larger domain models under data-residency rules.<\/li>\n<li><strong>Media &amp; design<\/strong> &mdash; generative and rendering pipelines.<\/li>\n<\/ul>\n<h3>Performance &mdash; and how to be sure<\/h3>\n<p>No inflated peak numbers: a single 96&nbsp;GB RTX PRO 6000 Blackwell is sized for QLoRA up to ~70B and inference of quantised 70B-class models. <strong>Request a free benchmark of your model on this exact configuration before you buy.<\/strong><\/p>\n<h3>Series &amp; upgrade path<\/h3>\n<ul>\n<li><strong>CARINA<\/strong> (1&times; &mdash; this, the big-memory single-GPU) &middot; <strong>QUASAR<\/strong> (2&times;) &middot; <strong>DRACO<\/strong> (4&times;).<\/li>\n<li><strong>When to step up:<\/strong> need more throughput or parallel jobs &rarr; QUASAR\/DRACO &mdash; talk to an architect.<\/li>\n<\/ul>\n<h3>On-prem vs cloud &mdash; the TCO case<\/h3>\n<p>For sustained large-model work, owning a 96&nbsp;GB GPU beats renting one: continuous cloud time adds up fast, and on-prem removes egress fees while keeping data in-house. RDP pricing is fixed in INR with a GST input-credit-eligible invoice &mdash; ask for a 3-year TCO comparison.<\/p>\n<h3>Software &amp; day-one readiness<\/h3>\n<p>Ships pre-loaded: NVIDIA driver, CUDA, cuDNN, Docker and the NVIDIA Container Toolkit, with PyTorch \/ TensorFlow and inference servers (vLLM \/ Triton) on Ubuntu LTS. Optional managed AI-stack setup available.<\/p>\n<h3>Power, thermal &amp; acoustics<\/h3>\n<p>A single 600&nbsp;W-class GPU plus the Xeon&nbsp;W &mdash; specify an appropriate circuit; air-cooled and quiet at the desk. <em>(Exact PSU rating, BTU and dB(A) confirmed on the build sheet.)<\/em><\/p>\n<h3>Deployment, warranty &amp; support<\/h3>\n<ul>\n<li><strong>Made to order<\/strong>, built and burned-in in India; lead time confirmed at quote.<\/li>\n<li><strong>In the box:<\/strong> workstation, power cable, quick-start, and the pre-installed AI software stack.<\/li>\n<li><strong>Onsite warranty + AMC<\/strong>, pan-India, with an RMA \/ escalation path <em>(exact term &amp; response window confirmed at quote)<\/em>.<\/li>\n<\/ul>\n<h3>Why RDP<\/h3>\n<p>14 years of Make-in-India infrastructure and <strong>300,000+ devices shipped<\/strong>. Indian OEM, INR pricing, GST tax invoice (HSN&nbsp;8471), pan-India onsite engineers, GeM availability, and DPDP \/ sovereign-AI-ready deployment.<\/p>\n<h3>Buy with confidence<\/h3>\n<p><strong>Talk to an RDP solution architect<\/strong>, get a configuration and TCO tailored to your workload, and <strong>benchmark your own model on it before you commit.<\/strong> Request a quote to begin.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Intel Xeon W-3500 \u00b7 128 GB DDR5 ECC \u00b7 4 TB NVMe \u00b7 Tower<\/p>\n","protected":false},"featured_media":1998,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"CARINA 1\u00d7 RTX PRO 6000 Blackwell AI Workstation \u2014 Xeon W, 128GB ECC, 96GB GPU | RDP GPU Mart","rank_math_description":"Big-memory single-GPU AI workstation on NVIDIA Blackwell \u2014 RTX PRO 6000 Blackwell 96GB GDDR7, Xeon W-3500, 128GB ECC, 4TB NVMe. Fine-tune up to ~70B & serve quantised 70B on-prem. Make-in-India, GST, pan-India onsite. 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