Specifications

Model

MegaEdge AIP-RQ87 (AIP-RQ87-A1)

Processor

Intel Core Ultra 5 / 7 / 9 (Arrow Lake-S), up to 65 W

Chipset

Intel Q870

System Memory

4x 288-pin CU-DIMM DDR5-6400 or U-DIMM DDR5-5600, up to 256 GB (64 GB per DIMM)

Accelerator Support

NVIDIA RTX PRO 6000 Blackwell Workstation Edition, RTX PRO 6000 Blackwell Max-Q, Qualcomm Cloud AI 100 Ultra accelerator card

PCIe Expansion

2x PCIe x16 slots providing 1x Gen5 x16 or 2x Gen5 x8 signals via riser cable

Power Supply

2000 W with dedicated Power Distribution Board (PDB) for high-current accelerator rails

Power Input

AC 110-220 V; 1000 W at 100-127 V / 12 A; 2000 W at 220-240 V / 10 A

Servicing

Modular tool-less GPU and SATA box — accelerator and drive swaps without tools

Networking

1x 1 GbE and 1x 2.5 GbE standard; optional 1x 10G LAN, 2x COM, 1x OOB

Rear I/O

7x USB 3.2 Gen2 Type-A, 1x USB4 Type-C, 1x HDMI 2.1, 1x DisplayPort 1.4a++

Management and Security

TPM 2.0, OOB management option, Realtek ALC897 HD audio, RS-232/422/485 COM1

Dimensions

438 x 500 x 88 mm (2U) — maximum installation depth 500 mm

Weight

9.8 kg net / 13.5 kg gross

Environmental

0 to +40 C operating (0 to +35 C with 2x RTX PRO 6000 Blackwell Workstation); -40 to +85 C storage; 8-80% RH non-condensing

Shock and Vibration

10G half-sine 11 ms shock and 1 Grms random 5-500 Hz vibration to IEC 60068-2-27 / 2-64 with 2x RTX PRO 6000 Blackwell installed

OS Support

Windows 11, Ubuntu 22.04

Certification

CE / FCC Class A / UKCA / LVD / RoHS

Overview

The Aetina MegaEdge AIP-RQ87 is a ready-to-deploy 2U edge agentic AI system aimed at enterprises and system integrators who need to stand up private LLM, RAG, AI-agent and multimodal workloads inside their own facility rather than in a public cloud. It pairs an Intel Core Ultra 5/7/9 processor on the Q870 chipset with dual PCIe Gen5 x16 expansion — configurable as one x16 or two x8 links — so the acceleration layer can be chosen per workload, not baked in at purchase.

Two accelerator families are supported: NVIDIA RTX PRO 6000 Blackwell Workstation Edition (including the Max-Q variant) and the Qualcomm Cloud AI 100 Ultra card. The chassis is deliberately shallow at 500 mm for edge cabinets, and the engineering effort has gone into serviceability and power integrity: a dedicated Power Distribution Board feeds the 2000 W supply, and a tool-less modular GPU and SATA box allows accelerators and drives to be swapped without tools. Aetina specifies the platform to 10G shock and 1 Grms random vibration under IEC 60068 with two RTX PRO 6000 Blackwell cards installed, which is an unusually concrete claim for a 2U edge box.

The result is a platform designed for AI knowledge assistants, intelligent document processing, legal and compliance analysis, business process automation and video analytics — all deployed on-premises so that sensitive data never leaves the building. QS Compute supplies Aetina MegaEdge and DeviceEdge systems and the wider Aetina edge AI range; contact us for configuration guidance, accelerator pairing advice and volume pricing.

Key Benefits

Deploys in weeks, not quarters. A validated 2U system rather than a component build. Choose the accelerator per workload. RTX PRO 6000 Blackwell or Qualcomm Cloud AI 100 Ultra on the same Gen5 x16 topology. Real edge depth. 500 mm maximum installation depth fits standard edge cabinets. Serviceable in place. Tool-less GPU and drive modules plus an exclusive PDB for rail stability under sustained AI load.

Applications

Private LLM and RAG deployments inside the enterprise, AI knowledge assistants over internal documents, intelligent document processing and summarisation, legal and compliance analysis on confidential data, business process automation with AI agents, smart retail and smart city video analytics, and on-premises inference where data residency rules prohibit public cloud use.

Request a Quote — AETINA MEGAEDGE AIP-RQ87 — 2U EDGE AGENTIC AI SYSTEM FOR PRIVATE LLM AND RAG

QS Compute — global B2B supply of AI computing hardware, edge AI systems and accelerators. Volume pricing, 15-day sample lead time.

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