

QUASAR Ryzen AI Max 16" Mobile Workstation
Key Specifications
See full specs ↓“RDP delivered and installed our edge AI pods across 6 sites with predictable INR pricing and onsite SLA.” — [customer / sector, to confirm]


Designed, built and supported in India — sovereign by design
Your AI factory on sovereign Indian infrastructure: data residency under DPDP, MeitY-recognised, ISO 27001 / SOC 2 deployment paths, and procurement on GeM.
Overview
The unified-memory advantage, in a machine you can carry. A 16-inch mobile workstation on the Ryzen AI Max platform — up to 128 GB of unified memory across four channels, 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.
Key highlights
- 16″ 2560 × 1600, 165 Hz, 100% sRGB, 500 nit — OLED option available.
- Up to 128 GB LPDDR5X across 4 channels at 8000 MT/s — user-assignable to graphics.
- 50 TOPS NPU with Navi 3.5 graphics, up to 20 WGP.
- 16-core AMD Ryzen AI Max+ at an 85 W TBP.
- 99.9 Wh battery — the maximum permitted in aircraft cabin baggage.
- 20.04 mm thick — a genuine mobile workstation, not a desktop replacement.
- Volume order: minimum 100 units. Institutional, tender and fleet supply.
AI workload fit
- Local inference for engineers and analysts who travel.
- RAG over confidential material with no network dependency.
- Agentic AI and application development away from the office.
- Generative AI and creative production on location.
- NLP & speech capture and processing in the field.
- Institutional fleets — teaching labs, field teams, tender-supplied deployments.
AI workload positioning
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 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.
Industry use cases
- Enterprise & GCCs: fleet refresh for applied-AI, consulting and field engineering teams.
- Research & education: teaching-lab and student-issue fleets running real models offline.
- Public sector & sovereign: tender-supplied mobile fleets with on-device AI, GeM-available.
- BFSI: field and audit staff working on confidential material without connectivity.
- Healthcare: mobile clinical documentation across sites.
Performance & how to be sure
Judge a mobile machine on sustained throughput and thermals, never peak — 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” 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.
Series & upgrade path
QUASAR performance tier in AI Workstations. Desk-side equivalents: the CARINA 1L/2L compact units, the QUASAR 4L Desktop and the RDP Tower Workstation — the same unified-memory architecture without the mobile thermal ceiling. Above: discrete-GPU RDP AI Workstations.
On-prem vs cloud (TCO)
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.
Software & day-one readiness
Ships with Windows 11 or Ubuntu and the AMD AI stack — ROCm, DirectML and ONNX Runtime — 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.
Power, thermal & acoustics
99.9 Wh battery — the maximum permitted in aircraft cabin baggage — 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.
Deployment, warranty & support
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 — minimum 100 units. Lead time confirmed at quotation against allocation.
Why RDP
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.
Buy with confidence
Use Request a Quote to reach an RDP solution architect for sizing, a benchmark-your-model session, financing options and a delivery plan. No obligation.
Specifications
| GPUs | AMD Radeon (Navi 3.5, up to 20 WGP) + 50 TOPS NPU |
| GPU memory | Assignable from up to 128 GB unified pool |
| Model fit | ~120B at 4-bit |
| CPU | AMD Ryzen AI Max+ 16-core @ 85 W TBP |
| System memory | Up to 128 GB LPDDR5X-8000 (4 channels) |
| Storage | M.2 NVMe (config at quote) |
| Networking | Wi-Fi · USB-C · integrated (config at quote) |
| Chassis | 16″ mobile workstation · 20.04 mm · 99.9 Wh |
| GPU Count | 1 |
| GPU Model | AMD Radeon 8060S |
| Form Factor | Laptop |
| Cooling | Air |
| Series | QUASAR |
| Use Case | Agentic AI, Fine-tuning, Generative AI, Inference, NLP & Speech, RAG |
| Industry | BFSI & HFT, Enterprise & GCCs, Healthcare, Public Sector & Sovereign, Research & Education |
| Workload Fit | Mobile on-device AI fleet |
| Display | 16″ 2560 × 1600 · 165 Hz · 100% sRGB · 500 nit · OLED option |
| Battery | 99.9 Wh |
| Thickness | 20.04 mm |
| Minimum Order | 100 units (volume supply) |
| Warranty & Support | RDP pan-India onsite · GST invoice · available on GeM |
Why RDP GPU Mart
- ✓ Make in India OEM — Hyderabad facility, 14 years, 300,000+ devices shipped.
- ✓ Sovereign-ready: India data residency (DPDP), MeitY-recognised, ISO 27001 / SOC 2 paths.
- ✓ INR-transparent: GST invoice, CGST/SGST or IGST, pan-India onsite SLA.
- ✓ Available on GeM for government and PSU procurement.
FAQ
Is GST invoicing available?
Yes — GST invoice, CGST+SGST or IGST by billing state, eligible for input credit.
Do you deliver and install pan-India?
Yes — pan-India delivery with onsite installation and a 3-year onsite SLA.
What warranty and support is included?
3-year pan-India onsite SLA with AMC and flexible financing options.
Can this be configured to my workload?
Yes — talk to an RDP solutions architect for a custom build or multi-node cluster.
Compare the range
Other AI Workstations in this line
Swipe to compare
| QUASAR Ryzen AI M… | CARINA 1× RTX PRO… | QUASAR 2× RTX PRO… | QUASAR 2× RTX PRO… | |
|---|---|---|---|---|
| GPUs | AMD Radeon 8060S iGPU (40 CU) + 50 TOPS NPU | 1× NVIDIA RTX PRO 5000 Blackwell 48GB | 2× NVIDIA RTX PRO 4500 Blackwell 32GB | 2× NVIDIA RTX PRO 5000 Blackwell 48GB |
| GPU memory | Up to 96 GB assignable from 128 GB unified | 48 GB GDDR7 + 640 GB aiDAPTIV+ | 64 GB GDDR7 + 1 TB aiDAPTIV+ | 96 GB GDDR7 + 1.32 TB aiDAPTIV+ |
| Model fit | ~120B at 4-bit | 13B–34B local | 34B–70B local | 70B local |
| Networking | 2.5GbE · Wi-Fi 7 · USB4 · HDMI 2.1 · DP 1.4 | 2× 10GbE | 2× 10GbE | 2× 10GbE |
| Chassis | RDP tower · serviceable · PCIe expansion | Tower workstation | Tower workstation | Tower workstation |
| Price | On request | On request | On request | On request |
| Quote | Quote | Quote | Quote |
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*Pan-India delivery and onsite installation are subject to location serviceability; standard SLA terms apply. Specifications indicative; final configuration confirmed on quote.