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AIP-RQ87
• Intel® Core™ Ultra 5 / 7 / 9 Processors with Intel® Q870 Chipset
• Support for NVIDIA RTX PRO™ 6000 Blackwell Series GPU and Qualcomm® Cloud AI 100 Ultra accelerators
• PCIe Gen5 x16 architecture optimized for enterprise AI and LLM inference workloads
• 2000W power supply with exclusive Power Distribution Board (PDB) design for enhanced system reliability
• Exclusive modular tool-less GPU and SATA box design for rapid deployment and maintenance
• Compact 2U rackmount design for enterprise Edge AI deployment
Overview
Enterprise Edge AI Made Simple
A Ready-to-Deploy 2U Edge Agentic AI System for AI Agents, Private LLMs, and Intelligent Automation—Without the Complexity of Traditional AI Infrastructure.
AIP-RQ87 is a compact 2U edge agentic AI computing system designed to help businesses rapidly deploy AI agents, private LLMs, and intelligent automation workloads. Powered by Intel® Core™ Ultra processors and a flexible PCIe Gen5 architecture, it delivers enterprise-grade AI performance while fitting seamlessly into existing rack environments.
With support for NVIDIA RTX PRO 6000 Blackwell Series GPU and Qualcomm® Cloud AI 100 Ultra accelerators, organizations can efficiently deploy AI solutions, eliminating the complexity of traditional AI infrastructure planning.
Flexible AI Acceleration Architecture
Designed to support diverse AI workloads through a highly scalable PCIe Gen5 architecture.
- Support for NVIDIA RTX PRO 6000 Blackwell Series GPU
- Support for Qualcomm® Cloud AI 100 Ultra accelerators
- Optimized for LLM inference, RAG, AI agents, and multimodal AI application
- Flexible heterogeneous computing deployment options
This allows businesses to select the most suitable AI acceleration platform based on performance, power efficiency, and workload requirements.
Engineered for Reliable Edge AI Deployment
AIP-RQ87 combines powerful AI computing with industrial-grade reliability.
Engineered for Reliable Edge AI Deployment
AIP-RQ87 combines powerful AI computing with industrial-grade reliability.
- Exclusive Power Distribution Board (PDB) Design
The exclusive PDB architecture optimizes power delivery for high-performance AI accelerators while improving system stability under sustained workloads. - 2000W Power Supply
Ensures continuous operation and simplified maintenance for mission-critical AI applications. - Tool-Less GPU and SATA Maintenance
The exclusive modular GPU and SATA box design simplifies installation, upgrades, and serviceability, reducing deployment time and maintenance effort.
Compact 2U Design for Business-Ready AI
Unlike traditional AI servers that require significant space and infrastructure planning, AIP-RQ87 delivers high-performance AI computing in a compact 2U form factor with a maximum installation depth of 500 mm. Its space-efficient design makes it ideal for Small & Medium Enterprises (SMEs) AI deployment, and other AI-powered applications.
Secure and Cost-Effective
By enabling on-premises AI deployment, AIP-RQ87 helps organizations maintain data privacy while reducing cloud dependency and data transfer costs.
Unlike traditional AI servers that require significant space and infrastructure planning, AIP-RQ87 delivers high-performance AI computing in a compact 2U form factor with a maximum installation depth of 500 mm. Its space-efficient design makes it ideal for Small & Medium Enterprises (SMEs) AI deployment, and other AI-powered applications.
Secure and Cost-Effective
By enabling on-premises AI deployment, AIP-RQ87 helps organizations maintain data privacy while reducing cloud dependency and data transfer costs.
Application Scenarios
| Application Scenarios | Description | Product Benefits |
|---|---|---|
| AI Knowledge Assistant | Deploy private AI assistants powered by enterprise documents, SOPs, product specifications, and internal knowledge bases. |
▪ On-premises AI inference ensures data privacy and security ▪ Real-time knowledge retrieval for faster decision-making▪ Reduces time spent searching for internal information ▪ Improves employee productivity across departments |
| Intelligent Document Processing | Automate document classification, data extraction, summarization, and report generation from invoices, contracts, technical documents, and business records. |
▪ AI-powered document understanding and structured data extraction ▪ Minimize manual processing workload and human error▪ Accelerate business workflow efficiency ▪ Reduce operational costs |
| Legal & Compliance Assistant | Secure AI assistant for analyzing legal documents, regulations and compliance requirements based on enterprise knowledge sources. |
▪ Local AI processing ensures confidential data protection ▪ Rapid analysis of large-scale legal documents▪ Reduce manual review effort ▪ Enhance decision-making accuracy |
| Business Process Automation | Leverage AI agents to automate repetitive tasks such as inventory inquiries, workflow approvals, report generation, and enterprise data retrieval. |
▪ Automates inventory lookup, reporting, and approvals ▪ Reduces manual administrative workloads▪ Improves response time for internal operations ▪ Scales business efficiency without additional manpower |
| Smart Retail & Smart City | Analyze multi-channel video streams simultaneously to enable real-time crowd flow monitoring, behavioral analysis, and smart space management. |
▪ High-density video analytics handles multiple camera feeds simultaneously ▪ Provides actionable insights through precise behavior and traffic analysis▪ Enhances public safety and operational security via real-time alerts ▪ Optimizes space utilization and customer engagement in retail zones |
Compatible PCIe series
-
Qualcomm® Cloud AI 100 Ultra
Accelerator Card
-
NVIDIA RTX PRO 6000 Blackwell Workstation Edition
-
NVIDIA RTX PRO 6000 Blackwell
MAX-Q Workstation Edition
Specifications
| Model Number | AIP-RQ87-A1 | ||
| CPU | Processor | Intel® Core™ Ultra 5 / 7 / 9 processors (Arrow Lake-S), up to 65W | |
| Chipset | Intel® Q870 Chipset | ||
| System Memory | 4 x 288-pin CU-DIMM DDR5 6400 MHz, U-DIMM DDR5 5600 MHz, up to 256GB (64GB per DIMM) | ||
| Front I/O | Buttons | System Power, reset button | |
| LED | Storage Activity | ||
| Rear I/O | USB | 7 x USB 3.2 Gen2 x 1 (Type-A) 1 x USB4 (Type-C) |
|
| Ethernet | 1 x 1Gbps 1 x 2.5Gbps |
||
| Display | 1 x HDMI 2.1 1 x DP 1.4a++ |
||
| COM | COM1 (RS-232/422/485) | ||
| Audio | 1 x Mic-in, 1 x Line-out, 1 x Line-in (Realtek ALC897 HD) | ||
| Expansion | PCIe | 2x PCIe x16 slots (1x Gen5 x16 signal or 2x Gen5 x8 signals) via Riser Cable | |
| M.2 | 1x M.2 E-Key 2230 (PCIe Gen 4 x1) | ||
| Option | 1x 10G LAN 2x COM 1x OOB |
||
| Power | Consumption | Full loading : up to 2000Watts | |
| Input / Connector | AC-in 110~220VAC 1,000W: 100~127V, 12A 2,000W: 220~240V, 10A |
||
| Dimension | W x D x H | 438 x 500 x 88 mm | |
| Weight | Net Weight | 9.8 kg | |
| Gross Weight | 13.5 kg | ||
| Vibration | 1Grms, IEC60068-2-64, Random, 5 ~ 500 Hz , 1Hr / Axis (operation, w/2x RTX Pro 6000 Blackwell) | ||
| Shock | 10G, IEC 60068-2-27, Half Sine, 11 ms Duration (operation, w/2x RTX Pro 6000 Blackwell) | ||
| Temperature |
Operating Temp.: 0°C ~ +40°C (32°F ~ 122°F) |
||
| Humidity | Operating Relative Humidity: 8% to 80% (non-condensing) Non-operating Relative Humidity: 8% to 90% (non-condensing) |
||
| OS Support | Windows 11/ Ubuntu 22.04 | ||
| Security | TPM 2.0 | ||
| Certification | CE / FCC Class A / UKCA / LVD / RoHS | ||
Specifications
Dimensions
Ordering Information
| Model Number | Description |
|---|---|
|
AIP-RQ87-A1QC |
AIP-RQ87-A1QC Bare system w/2,000W CRPS power supply and Slide Rail (w/o CPU, RAM, SSD, GPU card) |
|
AIP-RQ87-A1NV |
AIP-RQ87-A1NV Bare system w/2,000W CRPS power supply and Slide Rail (w/o CPU, RAM, SSD, GPU card) |
Downloads
| Model Name | File Name | OS | Version | Update Date | Download |
|---|---|---|---|---|---|
| AIP-RQ87 | Aetina_AIP-RQ87_Datasheet | v1.0 | 2026-08-11 | Download | |
| X86-based edge AI systems | Aetina_MegaEdge_Brochure_EN_2026 | v1.0 | 2026-02-26 | Download |
| Model Name | File Name | OS | Version | Update Date | Download |
|---|---|---|---|---|---|
| AIP-RQ87 | Aetina_AIP-RQ87_Driver | v1.0 | 2026-08-27 | Download |