The CARINA Jetson AGX Thor Jetson Edge AI Node runs AI agents locally \u2014 a embedded \/ din-rail system with an NVIDIA Jetson AGX Thor SoC (128 GB unified LPDDR5X) built to run private LLM agents, RAG and automation on your own hardware, offline if needed. It puts agentic AI on the desk or at the edge without sending prompts or data to the cloud \u2014 in INR, on a GST invoice.<\/p>\n
Engineered for developers, prosumers and edge deployments adopting local agentic AI, it pairs the Jetson SoC with 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 device that runs your AI agents privately, on the desk or at the edge. With 128 GB unified LPDDR5X and an efficient SoC, 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: 128 GB unified LPDDR5X is sized to run quantised 7B\u201334B 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 JetPack \/ Ubuntu. Optional managed local-AI stack and model library.<\/p>\n A embedded \/ din-rail system \u2014 low-power, fanless\/rugged options for the edge. (Exact power draw, thermal and acoustic figures confirmed on the build sheet.)<\/em> Embedded\/DIN-rail mounting and wide operating-temperature options available.<\/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":" Integrated Arm (Jetson SoC) \u00b7 Unified (shared with GPU) \u00b7 2 TB NVMe \u00b7 128 GB unified LPDDR5X \u00b7 Embedded \/ DIN-rail<\/p>\n","protected":false},"featured_media":1991,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"CARINA Jetson AGX Thor Edge AI Node \u2014 128 GB unified, edge agents | RDP GPU Mart","rank_math_description":"Jetson Edge AI Node for private local AI \u2014 NVIDIA Jetson AGX Thor (128 GB unified LPDDR5X), Integrated Arm (Jetson SoC). 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":[83],"class_list":["post-30","product","type-product","status-publish","has-post-thumbnail","product_cat-agentic-ai-pcs-edge-ai","product_tag-ready-to-buy","pa_form-factor-embedded","pa_gpu-model-nvidia-jetson-agx-thor","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-nlp-speech","pa_use-case-rag","pa_workload-fit-local-agentic-ai-inference","first","onbackorder","taxable","shipping-taxable","product-type-simple"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/30","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=30"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/1991"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=30"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=30"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=30"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=30"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Industry use cases<\/h3>\n
\n
Performance \u2014 and how to be sure<\/h3>\n
Series & upgrade path<\/h3>\n
\n
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
\n
Why RDP<\/h3>\n
Buy with confidence<\/h3>\n