14 years. 28,000 sq ft. 100,000+ devices. From desktops to data center — designed, engineered, and manufactured in India.
Why choose RDP14 product categories across compute, AI, and data center. Deployment-ready from our 28,000 sq ft facility.
Download Product CatalogEnd-to-end AI compute under one sovereign umbrella. Designed here. Manufactured here. Supported here.
Talk to a Solutions ArchitectWarranty. SLA. On-site service. Account management. Every commitment documented, every response time defined.
Download SLA CommitmentISO 9001. PLI 2.0. SOP-led manufacturing. The systems behind every device we ship.
Our Story
Compact, NUC-class AI PCs built for the moment AI moves closer to users, data, and devices — local agents, private assistants, RAG, computer vision, and edge inference. AU Series for Intel Core Ultra. AR Series for AMD Ryzen AI.
Reliability is our product. Built for an AI-ready India. The deployable middle layer between endpoint PCs and the data center.
3 reasons organizations and builders are moving AI closer to the point of work.
Standardize by preferred silicon without changing the A Series story — AU for Intel Core Ultra, AR for AMD Ryzen AI. Seven pre-configured SKUs across both.
Intel Core Ultra-based Agentic AI PCs for enterprise AI PC refresh, department assistants, and edge AI. Built on Intel Arc graphics with on-package NPU acceleration. From mainstream Ultra 5 to premium Ultra 9.
AMD Ryzen / Ryzen AI-based systems for high-performance local AI, startup PoCs, and ISV appliances. Ranges from mainstream Ryzen AI 5 to the halo Ryzen AI Max compact workstation with 128GB unified memory.
From private enterprise assistants to ISV solution boxes — A Series is built for the AI workloads organizations actually deploy at the edge.
On-device copilots and assistants that keep sensitive enterprise data inside the building.
Retrieval-augmented generation over private knowledge bases with a local vector database.
Hands-on AI nodes for labs, classrooms, and research teams learning agentic workflows.
Compact inference and computer-vision nodes deployed where decisions actually happen.
A professional demo and deployment box to move from prototype to customer pilot.
Certified hardware base to bundle AI software into a packaged, customer-ready appliance.
A glimpse of the A Series ladder — from balanced enterprise AI PCs to the halo compact AI workstation with 128GB of unified memory.
A Series uses one simple tier ladder across both branches — 500, 700, 900, and 950 — so sales, procurement, and customers can read a SKU at a glance.
A standardized, supportable AI-PC platform — engineered and supported in India for real deployment, not just experimentation.
Small-footprint AI-ready PCs that deploy where full workstations or servers are too large, costly, or complex — on a desk, in a branch, in a lab, or as an appliance.
AU for Intel Core Ultra; AR for AMD Ryzen / Ryzen AI. Customers standardize on their preferred silicon platform without changing the A Series story, support model, or imaging.
Windows 11 Pro for enterprise endpoint workflows, or an Ubuntu LTS / Linux AI image for agentic and local-model deployment — chosen per project as a commercial variant.
An optional validated image with local model runtime, vector database, and container runtime — with an OpenClaw / Hermes agent-stack validation path after engineering certification.
RAM and NVMe options by SKU tier — from 16GB office AI endpoints to 128GB unified-memory halo workstations — matched to office AI, local RAG, agent runtime, and edge inference.
RDP-led productization, deployment, warranty, and partner enablement from Hyderabad — reducing friction for enterprise and channel-led AI deployment across India.
A Series fills the gap between standard endpoints, Jetson edge AI, and data-center infrastructure — more deployable than a server, more AI-focused than a normal PC.
Compact AI systems for local assistants, agents, PoCs, ISV appliances, and branch AI — the deployable middle of the RDP AI portfolio.
Jetson-based edge AI systems for computer vision, robotics, and embedded AI workloads at the far edge.
Ready-made servers and data-center infrastructure for larger AI training, inference, and compute deployments.
The most valuable early engagements are workload-led, not SKU-led — a structured path from AI workload to a validated pilot.
Assistant, RAG, vision, agent workflow, lab, kiosk, branch, or ISV solution — start from the outcome, not the spec sheet.
Choose AU for Intel Core Ultra or AR for AMD Ryzen / Ryzen AI, based on your standardization and software preference.
500 for entry, 700 for enterprise balance, 900 for flagship performance, 950 for the halo local AI workstation.
5–25 unit pilots with benchmark, deployment image, user feedback, and a support-model review before scale-out.
If you are a CIO, CTO, IT Admin, SI Partner, AI Startup, or AI ISV moving beyond AI experimentation, tell us your workload. Our team will recommend the right AU/AR SKU and shape a pilot.