{"id":15283,"date":"2026-08-28T01:27:57","date_gmt":"2026-08-28T01:27:57","guid":{"rendered":"https:\/\/rdp.in\/gpu-mart\/product\/carina-ryzen-ai-max-2l-compact-ai-pc\/"},"modified":"2026-08-30T15:13:57","modified_gmt":"2026-08-30T15:13:57","slug":"carina-ryzen-ai-max-2l-compact-ai-pc","status":"publish","type":"product","link":"https:\/\/rdp.in\/gpu-mart\/product\/carina-ryzen-ai-max-2l-compact-ai-pc\/","title":{"rendered":"CARINA Ryzen AI Max 2L Compact AI PC"},"content":{"rendered":"

The same silicon, more thermal headroom.<\/strong> A two-litre chassis lets the Ryzen AI Max+ 395 run at a 120–132 W<\/strong> envelope rather than throttling back, which is what turns a demo machine into one that holds throughput through a working day. Up to 128 GB unified memory<\/strong>, full desktop I\/O, and a footprint that still disappears behind a monitor.<\/p>\n

Key highlights<\/h3>\n
    \n
  • 120\u2013132 W sustained envelope<\/strong> \u2014 headroom the 1 L class does not have.<\/li>\n
  • Up to 128 GB LPDDR5X-8000<\/strong>, 256-bit \u2014 up to 96 GB assignable to graphics.<\/li>\n
  • AMD Ryzen AI Max+ 395<\/strong>, 16C\/32T, with a 40-CU Radeon 8060S and 50 TOPS NPU.<\/li>\n
  • Full desktop I\/O<\/strong> \u2014 USB4, 3\u00d7 USB-A, HDMI 2.1 FRL, DP 1.4, 2.5GbE, SD card.<\/li>\n
  • Choice of internal PSU or 240 W external adapter<\/strong> depending on deployment.<\/li>\n
  • 2 L, 203 \u00d7 192 \u00d7 70 mm<\/strong> \u2014 VESA-mountable behind a display.<\/li>\n
  • Windows 11 or Ubuntu, imaged and validated by RDP before dispatch.<\/li>\n<\/ul>\n

    AI workload fit<\/h3>\n
      \n
    • Sustained local inference<\/strong> through a full working day.<\/li>\n
    • RAG<\/strong> against private corpora held on the machine.<\/li>\n
    • Agentic AI<\/strong> workflows running continuously rather than on demand.<\/li>\n
    • Generative AI<\/strong> for document, image and text production.<\/li>\n
    • NLP & speech<\/strong> \u2014 transcription, summarisation, meeting intelligence.<\/li>\n
    • Light fine-tuning<\/strong> and adapter training on small models.<\/li>\n<\/ul>\n

      AI workload positioning<\/h3>\n

      Between the 1 L unit and the liquid-cooled 2 L, this is the volume choice: enough thermal budget to hold clocks under a real workload, in a chassis that still belongs on a desk rather than in a rack. As with every machine in this family, the honest framing is inference and development, not training<\/strong> \u2014 the unified pool decides what fits, and the NPU is not a substitute for a discrete accelerator when you need sustained training throughput.<\/p>\n

      Industry use cases<\/h3>\n
        \n
      • Enterprise & GCCs:<\/strong> standardised per-desk AI hardware across an applied-AI team.<\/li>\n
      • BFSI:<\/strong> analyst desktops running local models over regulated data.<\/li>\n
      • Healthcare:<\/strong> on-premises clinical documentation and coding assistance.<\/li>\n
      • Public sector & sovereign:<\/strong> departmental AI with no external dependency.<\/li>\n
      • Research & education:<\/strong> lab and teaching machines that run real models.<\/li>\n<\/ul>\n

        Performance & how to be sure<\/h3>\n

        The extra litre buys sustained<\/strong> rather than peak performance \u2014 the difference shows in the second hour of a workload, not the first minute. Rather than quote a tokens\/sec figure that will not match your workload, RDP offers a “benchmark your model”<\/strong> session: bring the model, precision and context length you actually intend to run, and we will validate it on this exact configuration before you commit.<\/p>\n

        Series & upgrade path<\/h3>\n

        CARINA<\/strong> entry tier. Below: the 1L Mini AI Workstation<\/strong>. Above: the QUASAR 2L Liquid-Cooled AI PC<\/strong> at 147 W, then the 4L Desktop Workstation<\/strong>, then RDP AI Workstations with discrete RTX PRO GPUs for genuine fine-tuning throughput.<\/p>\n

        On-prem vs cloud (TCO)<\/h3>\n

        For sustained daily AI work this configuration removes per-GPU-hour billing, queueing for scarce instances, and egress charges on your own data — and keeps everything on-premises for DPDP and data-residency obligations. Cloud still wins for burst capacity and one-off very large training runs; on-prem wins on sustained utilisation, control and predictable INR capital cost. We model the crossover with your actual usage rather than assert it.<\/p>\n

        Software & day-one readiness<\/h3>\n

        Ships with Windows 11<\/strong> or Ubuntu, and the AMD AI stack \u2014 ROCm<\/strong>, DirectML and ONNX Runtime \u2014 with local model runtimes (LM Studio, Ollama, llama.cpp) validated before dispatch. Because the GPU draws from the same unified pool as the CPU, you assign memory to the model rather than shopping for a card with enough VRAM. Migration from a CUDA workflow is a real exercise and RDP scopes it honestly rather than calling it a drop-in swap.<\/p>\n

        Power, thermal & acoustics<\/h3>\n

        Internal PSU or a 240 W external adapter on a standard socket. Air-cooled with a desk-appropriate acoustic profile; no facility requirements. Exact wattage, BTU and dB(A) figures come from RDP bench measurement rather than estimates — ask for the site-readiness sheet with your quote.<\/em><\/p>\n

        Deployment, warranty & support<\/h3>\n

        Built to order by RDP Technologies. Supplied with GST invoice, pan-India onsite support, and availability through GeM for public-sector procurement. Built to order \u2014 typically 4\u20136 weeks.<\/p>\n

        Why RDP<\/h3>\n

        RDP Technologies is a Make-in-India OEM with 14+ years and 300,000+ units shipped, supplying AI infrastructure from desk-side systems to rack-scale AI factories — with predictable INR pricing, GST invoicing and pan-India onsite service.<\/p>\n

        Buy with confidence<\/h3>\n

        Use Request a Quote<\/strong> to reach an RDP solution architect for sizing, a benchmark-your-model session, financing options and a delivery plan. No obligation.<\/p>\n","protected":false},"excerpt":{"rendered":"

        Ryzen AI Max+ 395 \u00b7 up to 128GB unified \u00b7 2\u00d7 NVMe \u00b7 2L desktop<\/p>\n","protected":false},"featured_media":1987,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"CARINA Ryzen AI Max 2L Compact AI PC | RDP GPU Mart","rank_math_description":"Two-litre Ryzen AI Max+ 395 AI PC: up to 128 GB unified memory, 50 TOPS NPU, 132 W envelope. Local inference and RAG. Request a quote from RDP GPU Mart.","_hermes_jsonld":""},"product_brand":[],"product_cat":[22],"product_tag":[],"class_list":["post-15283","product","type-product","status-publish","has-post-thumbnail","product_cat-agentic-ai-pcs-edge-ai","pa_form-factor-desktop","pa_gpu-model-amd-radeon-8060s","pa_industry-bfsi-hft","pa_industry-enterprise-gccs","pa_industry-healthcare-life-sciences","pa_industry-public-sector-sovereign-ai","pa_industry-research-higher-education","pa_series-carina","pa_use-case-agentic-ai","pa_use-case-fine-tuning","pa_use-case-generative-ai","pa_use-case-inference","pa_use-case-nlp-speech","pa_use-case-rag","pa_workload-fit-quiet-desk-side-ai-inference","first","instock","taxable","shipping-taxable","product-type-external"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/15283","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=15283"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/1987"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=15283"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=15283"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=15283"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=15283"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}