{"id":15286,"date":"2026-08-28T01:30:52","date_gmt":"2026-08-28T01:30:52","guid":{"rendered":"https:\/\/rdp.in\/gpu-mart\/product\/quasar-ryzen-ai-max-4l-desktop-workstation\/"},"modified":"2026-08-30T15:13:58","modified_gmt":"2026-08-30T15:13:58","slug":"quasar-ryzen-ai-max-4l-desktop-workstation","status":"publish","type":"product","link":"https:\/\/rdp.in\/gpu-mart\/product\/quasar-ryzen-ai-max-4l-desktop-workstation\/","title":{"rendered":"QUASAR Ryzen AI Max 4L Desktop Workstation"},"content":{"rendered":"

An internal PSU changes what a small machine can do.<\/strong> A 350 W Flex power supply inside the chassis means no adapter brick, no cable clutter under the desk, and a stable power envelope for all-day work — in a 4 L box measuring 248 × 188 × 98 mm. Up to 128 GB unified memory<\/strong> feeding a 40-CU Radeon 8060S and a 50 TOPS NPU.<\/p>\n

Key highlights<\/h3>\n
    \n
  • Internal 350 W Flex PSU<\/strong> \u2014 a single mains lead, no external adapter.<\/li>\n
  • Up to 128 GB LPDDR5X-8000<\/strong> (256-bit), up to 96 GB assignable to graphics.<\/li>\n
  • Ryzen AI Max+ 395<\/strong> \u2014 16C\/32T, 5.1 GHz boost, Radeon 8060S, 50 TOPS NPU.<\/li>\n
  • Full desktop I\/O \u2014 USB4, USB 3.2 Gen2 Type-A, HDMI 2.1 FRL, DP 1.4, 2.5GbE, SD card.<\/li>\n
  • Optional fingerprint power button<\/strong> and LED bar for managed fleets.<\/li>\n
  • 4 L, 248.5 \u00d7 188.4 \u00d7 97.5 mm<\/strong> \u2014 deskside without being a tower.<\/li>\n
  • Windows 11 or Ubuntu, imaged and validated by RDP before dispatch.<\/li>\n<\/ul>\n

    AI workload fit<\/h3>\n
      \n
    • All-day local inference<\/strong> as a primary workstation.<\/li>\n
    • Fine-tuning<\/strong> and adapter training on small to mid models.<\/li>\n
    • RAG<\/strong> over private corpora held on the machine.<\/li>\n
    • Agentic AI<\/strong> and application development.<\/li>\n
    • Generative AI<\/strong> for image, document and text production.<\/li>\n
    • NLP & speech<\/strong> transcription and summarisation pipelines.<\/li>\n<\/ul>\n

      AI workload positioning<\/h3>\n

      This is the configuration to standardise on when the machine is someone’s primary workstation<\/strong> rather than an AI appliance beside one \u2014 internal power, full I\/O, and enough thermal envelope to work all day. The honest boundary is unchanged across this family: unified memory decides which model fits<\/strong>, and an integrated GPU with a 50 TOPS NPU is an inference and light-fine-tuning engine, not a training accelerator. When training throughput becomes the constraint, step to a discrete-GPU workstation.<\/p>\n

      Industry use cases<\/h3>\n
        \n
      • Enterprise & GCCs:<\/strong> a standard-issue AI workstation for applied-AI and platform teams.<\/li>\n
      • BFSI:<\/strong> quant and analyst desktops running local models on regulated data.<\/li>\n
      • Healthcare:<\/strong> clinical informatics workstations kept inside the hospital network.<\/li>\n
      • Public sector & sovereign:<\/strong> departmental AI desktops with on-soil residency.<\/li>\n
      • Research & education:<\/strong> per-researcher machines that run real models without cluster time.<\/li>\n<\/ul>\n

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

        On this class the decisive figures are unified memory capacity and bandwidth<\/strong> \u2014 roughly 256 GB\/s across a 256-bit bus \u2014 because they set which model fits and how fast it decodes. 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. Below: the CARINA 1L and 2L<\/strong> compact units. Beside: the 2L Liquid-Cooled AI PC<\/strong> when sustained thermals matter more than I\/O. Above: RDP AI Workstations<\/strong> with discrete RTX PRO GPUs, then GPU servers. Compare with NVIDIA DGX Spark<\/strong> where CUDA parity with production servers is the requirement.<\/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

        Internal 350 W Flex PSU on a standard 230 V socket \u2014 one mains lead, no adapter. Air-cooled with an acoustic profile suited to an occupied office; no facility work. 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 350W internal PSU \u00b7 up to 128GB unified \u00b7 4L<\/p>\n","protected":false},"featured_media":1549,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"QUASAR Ryzen AI Max 4L Desktop AI Workstation | RDP GPU Mart","rank_math_description":"Four-litre Ryzen AI Max+ 395 desktop AI workstation, internal 350 W PSU: 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-15286","product","type-product","status-publish","has-post-thumbnail","product_cat-ai-workstations","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-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-all-day-desk-side-ai-workstation","first","instock","taxable","shipping-taxable","product-type-external"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/15286","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=15286"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/1549"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=15286"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=15286"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=15286"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=15286"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}