{"id":15290,"date":"2026-08-28T01:40:02","date_gmt":"2026-08-28T01:40:02","guid":{"rendered":"https:\/\/rdp.in\/gpu-mart\/product\/quasar-ryzen-ai-max-tower-workstation\/"},"modified":"2026-08-30T15:14:01","modified_gmt":"2026-08-30T15:14:01","slug":"quasar-ryzen-ai-max-tower-workstation","status":"publish","type":"product","link":"https:\/\/rdp.in\/gpu-mart\/product\/quasar-ryzen-ai-max-tower-workstation\/","title":{"rendered":"QUASAR Ryzen AI Max Tower Workstation"},"content":{"rendered":"

Built by RDP, not rebadged.<\/strong> This configuration takes the Ryzen AI Max platform on a 180 × 180 mm board and puts it in an RDP-designed and RDP-assembled tower<\/strong> — proper airflow, a serviceable interior, standard PSU, drive bays and PCIe expansion<\/strong>. Same 128 GB unified memory<\/strong>, in a machine engineered for a five-year life rather than a shelf.<\/p>\n

Key highlights<\/h3>\n
    \n
  • RDP-designed chassis, assembled in India<\/strong> \u2014 a real Make-in-India build, not a sticker.<\/li>\n
  • Serviceable interior<\/strong> \u2014 standard PSU, tool-light access, replaceable fans.<\/li>\n
  • PCIe expansion<\/strong> for a capture card, additional NVMe or added I\/O.<\/li>\n
  • Up to 128 GB LPDDR5X-8000<\/strong> unified, up to 96 GB assignable to graphics.<\/li>\n
  • Ryzen AI Max+ 395<\/strong> \u2014 16C\/32T, Radeon 8060S (40 CU), 50 TOPS NPU.<\/li>\n
  • Thermal headroom for sustained all-day work; airflow designed around the platform.<\/li>\n
  • Standard-issue fleet build with RDP imaging, asset tagging and onsite support.<\/li>\n<\/ul>\n

    AI workload fit<\/h3>\n
      \n
    • All-day inference<\/strong> as a primary engineering workstation.<\/li>\n
    • Fine-tuning<\/strong> and adapter training on small to mid models.<\/li>\n
    • RAG<\/strong> and agentic AI<\/strong> development work.<\/li>\n
    • Generative AI<\/strong> production for content and design teams.<\/li>\n
    • NLP & speech<\/strong> pipelines run locally.<\/li>\n
    • Fleet standardisation where machines must be serviced for years, not swapped.<\/li>\n<\/ul>\n

      AI workload positioning<\/h3>\n

      The compact units in this family are excellent and largely sealed. When a machine has to live in a fleet — imaged, asset-tagged, serviced, repaired and kept for five years — a serviceable chassis with standard parts<\/strong> is worth more than another litre saved. That is the entire argument for this configuration, and it is also where RDP’s own manufacturing genuinely adds something rather than adding a badge. The compute boundary is unchanged: inference and light fine-tuning, not training.<\/p>\n

      Industry use cases<\/h3>\n
        \n
      • Enterprise & GCCs:<\/strong> a serviceable fleet standard for applied-AI teams.<\/li>\n
      • Public sector & sovereign:<\/strong> tender-friendly Make-in-India build with GeM availability.<\/li>\n
      • Research & education:<\/strong> lab machines that must be maintained, not replaced.<\/li>\n
      • BFSI:<\/strong> long-life analyst workstations under change control.<\/li>\n
      • Healthcare:<\/strong> departmental workstations serviced in place.<\/li>\n<\/ul>\n

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

        Compute matches the rest of the family; what differs is sustained thermal behaviour and serviceable life<\/strong>. Ask for the sustained-load figures and the spares plan together \u2014 they are the same question over five years. 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 4L Desktop Workstation<\/strong> where footprint beats serviceability. Above: RDP AI Workstations<\/strong> with discrete RTX PRO GPUs when fine-tuning throughput becomes the constraint, then GPU servers.<\/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

        Standard ATX-class internal PSU on a 230 V socket, sized to the platform with headroom for expansion. Airflow designed for sustained load with a serviceable, replaceable fan set. 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 in India \u2014 typically 6\u20138 weeks; chassis and expansion configuration confirmed at quotation.<\/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 RDP chassis \u00b7 PCIe expansion \u00b7 up to 128GB unified<\/p>\n","protected":false},"featured_media":1545,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"QUASAR Ryzen AI Max Tower Workstation | RDP GPU Mart","rank_math_description":"RDP-built Ryzen AI Max+ 395 tower workstation: up to 128 GB unified memory, PCIe expansion, serviceable chassis. Request a quote from RDP GPU Mart.","_hermes_jsonld":""},"product_brand":[],"product_cat":[21],"product_tag":[],"class_list":["post-15290","product","type-product","status-publish","has-post-thumbnail","product_cat-ai-workstations","pa_form-factor-tower","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-serviceable-fleet-ai-workstation","first","instock","taxable","shipping-taxable","product-type-external"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/15290","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=15290"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/1545"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=15290"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=15290"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=15290"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=15290"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}