The CARINA 1\u00d7 RTX PRO 2000 Blackwell Compact Agentic AI PC runs AI agents locally \u2014 a compact \/ sff workstation with 1\u00d7 NVIDIA RTX PRO 2000 Blackwell (16 GB GDDR7) built to run private LLM agents, RAG and automation on your own hardware, offline if needed. It puts agentic AI on the desk without sending prompts or data to the cloud \u2014 in INR, on a GST invoice.<\/p>\n
Engineered for developers, prosumers and teams adopting local agentic AI, it pairs a modern Intel Core Ultra 9 with on-chip NPU and the Blackwell GPU, plus fast memory and NVMe, so local models and agent workflows respond instantly and keep data in-house.<\/p>\n
This sits at the local-agent<\/strong> stage: the machine that runs your AI agents privately, on the desk. With 16 GB GDDR7 and a GPU plus NPU, it is sized to sustain<\/strong> responsive local inference and agent loops \u2014 where sending every prompt to a cloud API is slow, costly or non-compliant.<\/p>\n We don’t publish inflated peak numbers. The honest picture: 16 GB GDDR7 is sized to run quantised 7B\u201314B models and agent loops locally with low latency. Want certainty? Request a free benchmark of your agents and models on this exact configuration before you buy<\/strong>; we’ll send back real tokens\/sec and latency for your workload.<\/p>\n Running agents locally removes per-token API costs and keeps data on-device: for steady agentic use, a one-time machine beats a recurring cloud bill, with full privacy. RDP pricing is fixed in INR with a GST input-credit-eligible invoice \u2014 ask for a cost-per-agent comparison<\/strong> vs cloud APIs.<\/p>\n Ships ready to run agents<\/strong>: NVIDIA driver, CUDA, cuDNN, Docker, with Ollama \/ vLLM, a local vector DB and popular agent frameworks pre-configured on Ubuntu or Windows. Optional managed local-AI stack and model library.<\/p>\n A compact \/ sff system with quiet desk-side operation. (Exact power draw, thermal and acoustic figures confirmed on the build sheet.)<\/em> Standard mains power; no special facility needs.<\/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 This is a local-AI machine for running agents privately, made to order \u2014 talk to an RDP solution architect<\/strong>, size it for your agents and models, and benchmark your own workload on it before you commit.<\/strong> Request a quote to begin.<\/p>\n","protected":false},"excerpt":{"rendered":" Intel Core Ultra 9 (with NPU) \u00b7 64 GB DDR5 \u00b7 2 TB NVMe \u00b7 16 GB GDDR7 \u00b7 Compact \/ SFF<\/p>\n","protected":false},"featured_media":2106,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"CARINA 1\u00d7 RTX PRO 2000 Blackwell Compact Agentic AI PC \u2014 16 GB GDDR7, local agents | RDP GPU Mart","rank_math_description":"Agentic AI PC for private local AI \u2014 1\u00d7 RTX PRO 2000 Blackwell (16 GB GDDR7), Intel Core Ultra 9. Run LLM agents and RAG on-device, offline. Make-in-India, GST invoice. Request a quote.","_hermes_jsonld":""},"product_brand":[],"product_cat":[22],"product_tag":[],"class_list":["post-97","product","type-product","status-publish","has-post-thumbnail","product_cat-agentic-ai-pcs-edge-ai","pa_form-factor-tower","pa_gpu-model-nvidia-rtx-pro-2000-blackwell","pa_industry-bfsi-hft","pa_industry-enterprise-gccs","pa_industry-manufacturing-industrial","pa_industry-public-sector-sovereign-ai","pa_industry-retail-ecommerce","pa_industry-telecom-5g","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-local-agentic-ai-inference","first","instock","taxable","shipping-taxable","product-type-external"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/97","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=97"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/2106"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=97"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=97"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=97"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=97"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Industry use cases<\/h3>\n
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Performance \u2014 and how to be sure<\/h3>\n
Series & upgrade path<\/h3>\n
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On-prem vs cloud \u2014 the TCO case<\/h3>\n
Software & day-one readiness<\/h3>\n
Power, cooling & rack integration<\/h3>\n
Deployment, warranty & support<\/h3>\n
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Why RDP<\/h3>\n
Buy with confidence<\/h3>\n