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Sovereign AI infrastructure

End-to-end AI compute under one sovereign umbrella. Designed here. Manufactured here. Supported here.

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Warranty. SLA. On-site service. Account management. Every commitment documented, every response time defined.

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Built on process, not promises

ISO 9001. PLI 2.0. SOP-led manufacturing. The systems behind every device we ship.

Our Story
AI EDGE PCS — QUALCOMM QCS / RB

Qualcomm Edge AI.
Always connected. Ultra-efficient.

Qualcomm QCS and RB series deliver AI compute with native 5G/Wi-Fi 7 connectivity. Hexagon NPU + Adreno GPU provide up to 75 TOPS in compact, ultra-low-power modules — ideal for connected retail, smart cameras, and field-deployed AI.

Module Lineup

Three QCS modules. Connectivity-first AI.

Qualcomm’s IoT-optimised platforms combine Hexagon NPU AI with native 5G and Wi-Fi 7 — enabling always-connected edge intelligence at industry-leading power efficiency.

Connected IoT

QCS6490

15
TOPS AI Performance
  • NPU Hexagon v69
  • Memory 8GB LPDDR5
  • Power 5W–8W
  • Connectivity Wi-Fi 6E + BT 5.2
  • Camera 2× 36MP ISP
  • OS Android / Linux
Premium Edge

QCS8650

75
TOPS AI Performance
  • NPU Hexagon v75
  • Memory 24GB LPDDR5x
  • Power 12W–25W
  • Connectivity 5G + Wi-Fi 7
  • Camera 6× camera ISP
  • OS Android / Linux
Platform Advantages

Why Qualcomm for connected edge AI

5G + Wi-Fi 7 Native

No external modems. Cellular and wireless connectivity built into the SoC — enabling true always-connected edge AI for field deployment, fleet management, and remote monitoring.

Ultra-Low Power AI

Up to 10.4 TOPS/W — the highest AI efficiency per watt on any mobile-class platform. Battery-powered and solar-powered edge AI becomes feasible at 5W–15W total system power.

ISP + AI Camera Pipeline

Hardware ISP with AI-powered 3A (auto-focus, exposure, white balance) + NPU inference in a single pipeline. Process camera-to-insight with zero CPU overhead.

Android & Linux Ecosystem

Leverage the massive Android developer ecosystem for rapid prototyping. Linux RTOS for production deployment. Qualcomm Neural Processing SDK for model optimisation.

Heterogeneous Compute

CPU (Kryo) + GPU (Adreno) + NPU (Hexagon) + DSP + ISP — five compute engines on a single chip. Each workload runs on its optimal engine for maximum efficiency.

Compact SoM Form Factor

30mm × 30mm system-on-module packages enable the smallest possible edge AI devices — smart cameras, drones, wearables, and embedded controllers.

Applications

Where Qualcomm edge AI delivers

Smart AI Cameras

On-device analytics with ISP + NPU pipeline for smart retail, traffic monitoring, and security. Native 5G upload of metadata — not raw video.

Connected Retail

Shelf analytics, customer flow, queue management, and digital signage with Android UI — all in a compact, fanless, always-connected device.

Commercial Drones

On-drone AI for agriculture, inspection, and mapping. Hexagon DSP for real-time flight control + NPU for computer vision in a 5W–15W envelope.

Interactive Kiosks

Touch-screen AI kiosks with facial analytics, voice assistant, and real-time recommendations. Android UI + NPU inference in a single compact SoM.

RDP Integration

RDP integration for Qualcomm platforms

Custom Carrier & Antenna Design

RDP-designed carrier boards with optimised antenna placement for 5G/Wi-Fi 7 performance. RF-validated enclosures for India’s spectrum bands.

Product Enclosure Design

From compact smart camera housings to outdoor IP66 enclosures — industrial design meets India-optimised thermal management for 45°C+ ambient.

MII & GeM Listing

Make-in-India certified final products. GeM-listed for government procurement. STQC and BIS tested for institutional deployment.

Volume Manufacturing (10–10,000)

ISO 9001 production from prototype to volume. SoM integration, antenna calibration, firmware flashing, and functional testing — all under one roof.

Ready to bring AI to the edge?

Tell us your use case, performance requirements, and deployment scale. We’ll recommend the right platform, configure the right Edge PC, and deliver validated hardware — from pilot to production.

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