{"id":15291,"date":"2026-08-28T01:40:03","date_gmt":"2026-08-28T01:40:03","guid":{"rendered":"https:\/\/rdp.in\/gpu-mart\/product\/quasar-ryzen-ai-max-16-mobile-workstation\/"},"modified":"2026-08-30T15:14:02","modified_gmt":"2026-08-30T15:14:02","slug":"quasar-ryzen-ai-max-16-mobile-workstation","status":"publish","type":"product","link":"https:\/\/rdp.in\/gpu-mart\/product\/quasar-ryzen-ai-max-16-mobile-workstation\/","title":{"rendered":"QUASAR Ryzen AI Max 16″ Mobile Workstation"},"content":{"rendered":"

The unified-memory advantage, in a machine you can carry.<\/strong> A 16-inch mobile workstation on the Ryzen AI Max platform — up to 128 GB of unified memory across four channels<\/strong>, a 50 TOPS NPU and Navi 3.5 graphics with up to 20 WGP — so the model size you can run is set by system memory, not by a soldered VRAM budget. Available on volume order from 100 units.<\/strong><\/p>\n

Key highlights<\/h3>\n
    \n
  • 16\u2033 2560 \u00d7 1600, 165 Hz, 100% sRGB, 500 nit<\/strong> \u2014 OLED option available.<\/li>\n
  • Up to 128 GB LPDDR5X<\/strong> across 4 channels at 8000 MT\/s \u2014 user-assignable to graphics.<\/li>\n
  • 50 TOPS NPU<\/strong> with Navi 3.5 graphics, up to 20 WGP.<\/li>\n
  • 16-core AMD Ryzen AI Max+<\/strong> at an 85 W TBP.<\/li>\n
  • 99.9 Wh battery<\/strong> \u2014 the maximum permitted in aircraft cabin baggage.<\/li>\n
  • 20.04 mm thick<\/strong> \u2014 a genuine mobile workstation, not a desktop replacement.<\/li>\n
  • Volume order: minimum 100 units.<\/strong> Institutional, tender and fleet supply.<\/li>\n<\/ul>\n

    AI workload fit<\/h3>\n
      \n
    • Local inference<\/strong> for engineers and analysts who travel.<\/li>\n
    • RAG<\/strong> over confidential material with no network dependency.<\/li>\n
    • Agentic AI<\/strong> and application development away from the office.<\/li>\n
    • Generative AI<\/strong> and creative production on location.<\/li>\n
    • NLP & speech<\/strong> capture and processing in the field.<\/li>\n
    • Institutional fleets \u2014 teaching labs, field teams, tender-supplied deployments.<\/li>\n<\/ul>\n

      AI workload positioning<\/h3>\n

      A conventional AI laptop is limited by soldered VRAM: the discrete GPU has what it has, and a model that does not fit does not run. The unified-memory architecture removes that ceiling, which is why this platform runs model sizes ordinary mobile hardware cannot. It is still a mobile<\/strong> machine — an 85 W TBP in a 20 mm chassis will thermally limit before a desk-side unit, and sustained multi-hour training is not its job. For fleet deployment where staff must run real models offline, that trade is usually the right one. Supplied on volume orders from 100 units.<\/strong><\/p>\n

      Industry use cases<\/h3>\n
        \n
      • Enterprise & GCCs:<\/strong> fleet refresh for applied-AI, consulting and field engineering teams.<\/li>\n
      • Research & education:<\/strong> teaching-lab and student-issue fleets running real models offline.<\/li>\n
      • Public sector & sovereign:<\/strong> tender-supplied mobile fleets with on-device AI, GeM-available.<\/li>\n
      • BFSI:<\/strong> field and audit staff working on confidential material without connectivity.<\/li>\n
      • Healthcare:<\/strong> mobile clinical documentation across sites.<\/li>\n<\/ul>\n

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

        Judge a mobile machine on sustained throughput and thermals<\/strong>, never peak \u2014 an 85 W platform in a 20 mm chassis behaves differently in hour two. RDP will run your model on a sample unit before a fleet order. 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

        QUASAR<\/strong> performance tier in AI Workstations. Desk-side equivalents: the CARINA 1L\/2L<\/strong> compact units, the QUASAR 4L Desktop<\/strong> and the RDP Tower Workstation<\/strong> \u2014 the same unified-memory architecture without the mobile thermal ceiling. Above: discrete-GPU RDP AI Workstations.<\/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. The GPU draws from the same unified pool as the CPU, so 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

        99.9 Wh battery \u2014 the maximum permitted in aircraft cabin baggage \u2014 with USB-C\/DC charging. 85 W platform TBP; expect thermal limiting under sustained load, as with any 20 mm chassis. 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. Volume order only \u2014 minimum 100 units. Lead time confirmed at quotation against allocation.<\/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+ \u00b7 16″ 2560\u00d71600 165Hz \u00b7 up to 128GB unified \u00b7 99.9Wh<\/p>\n","protected":false},"featured_media":15374,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"QUASAR Ryzen AI Max 16-inch Mobile Workstation | RDP GPU Mart","rank_math_description":"16-inch AMD Ryzen AI Max mobile AI workstation: 2560\u00d71600 165 Hz, up to 128 GB unified memory, 50 TOPS NPU. Request a quote from RDP GPU Mart.","_hermes_jsonld":""},"product_brand":[],"product_cat":[21],"product_tag":[],"class_list":["post-15291","product","type-product","status-publish","has-post-thumbnail","product_cat-ai-workstations","pa_form-factor-laptop","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-quasar","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-mobile-on-device-ai-fleet","first","instock","taxable","shipping-taxable","product-type-external"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/15291","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=15291"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/15374"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=15291"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=15291"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=15291"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=15291"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}