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Aetina Launches MegaEdge AIP-RQ87 2U Edge AI System for Private LLMs, AI Agents and Intelligent Automation

The 2U edge AI platform is designed to simplify enterprise deployment of private LLMs, AI agents, RAG applications and multimodal AI while supporting flexible accelerator configurations.

  www.aetina.com


Aetina Launches MegaEdge AIP-RQ87 2U Edge AI System for Private LLMs, AI Agents and Intelligent Automation

- Aetina Corporation, a leading provider of edge AI solutions and accelerator of edge AI infrastructure, today announced the launch of MegaEdge AIP-RQ87, a ready-to-deploy 2U edge agentic AI system designed to help enterprises and system integrators (SIs) rapidly implement AI agent, private LLM, RAG application, multimodal AI, and AI-driven intelligent automation. Powered by Intel® Core™ Ultra processors with high-bandwidth PCIe Gen5 x16 architecture, AIP-RQ87 delivers enterprise-grade AI computing in a compact 2U rackmount design purpose-built for on-premises and edge deployment.

As enterprises transition from AI experimentation to production, organizations demand on-premises solutions delivering robust performance, data security, and seamless integration. Traditional AI servers often require complex infrastructure planning, large footprints, and specialized resources. AIP-RQ87 addresses these challenges with a compact 2U chassis, flexible AI accelerator support, high power capacity, exclusive Power Distribution Board (PDB) design, and modular tool-less maintenance—enabling businesses to reduce deployment complexity while efficiently deploying advanced AI workloads where data is generated.

Deconstructing Heterogeneous Edge Computing: A Highly Flexible Modular AI Inference Platform
MegaEdge AIP-RQ87 is purpose-built for system integrators, AI developers, research labs, and SMEs, delivering a flexible on-premises AI platform that eliminates the complexity of traditional infrastructure. The system features high-bandwidth, low-latency PCIe Gen5 x16 architecture with support for both NVIDIA RTX PRO 6000 Blackwell Series GPUs and Qualcomm® Cloud AI 100 Ultra accelerators—allowing enterprises to select optimal computing configurations based on workload requirements, power constraints, and budget.

AIP-RQ87 integrates Intel® Core™ Ultra 5/7/9 processors with Intel® Q870 chipset, supporting up to 256GB DDR5 memory within a compact 2U footprint (500mm depth). Optimized for private large-parameter LLMs, RAG, and enterprise AI inference, the platform enables deployment of AI agents, multimodal AI, and intelligent automation across verticals—from knowledge assistants and legal compliance to video analytics and smart retail.

Proprietary Hardware Innovations for Maximum Field Reliability

To enable stable operation of dual 600W AI accelerators in a compact 2U edge system, AIP-RQ87 incorporates patent-pending hardware innovations and industrial-grade specifications:

  •  Proprietary Power Distribution Board (PDB) [Patent Pending]: Aetina’s innovative “cable-free split-circuitry design” disrupts conventional chassis designs plagued by dense cable bundles. By distributing power through a centralized backplane, this architecture optimizes delivery to high-wattage accelerators, reduces cable clutter, and enhances stability during sustained high-load operations.
  • Modular Tool-Less GPU and SATA Box Design [Patent Pending]: This service-friendly innovation enables instant tool-free hardware installation, upgrades, and maintenance—significantly reducing mean time to repair (MTTR) while improving service efficiency and deployment flexibility
  •  2000W Power Supply: Integrated industrial-grade high-wattage PSU provides maintainable power capacity for mission-critical AI applications—ideal for smart retail, smart cities, enterprise data centers, and edge nodes requiring continuous operation
  • Featured 1x 10G LAN Port (10GbE): High-speed 10GbE transmission eliminates bandwidth bottlenecks in massive data exchange and distributed machine learning, ensuring millisecond-level responsiveness and optimized AI inference performance.

Enabling Private AI, Intelligent Automation, and Real-Time Decisions
As enterprise AI progresses from proof-of-concept toward scaled deployment, organizations prioritize data sovereignty, deployment efficiency, and long-term operations over model performance alone. For enterprises processing sensitive data internally while minimizing cloud dependency, on-premises AI deployment is becoming critical.

MegaEdge AIP-RQ87 helps enterprises retain core data internally, reduce cloud transfer costs and latency, and provide controllable computing foundations for private LLMs and AI agents. Key deployment scenarios span three directions:

  •  Private AI Knowledge Assistants & Legal Compliance: Integrate product documentation, SOPs, internal knowledge bases, and regulatory data for real-time semantic retrieval and knowledge Q&A.
  •  Intelligent Document Processing (IDP) & Business Automation: Support classification, extraction, summarization, and report generation from contracts, invoices, and business records—enhancing workflow approval and operational efficiency.
  •  Financial Industry Applications: Serve as intelligent wealth management advisors, smart regulatory compliance assistants, and financial risk management solutions.

Richard Hung, Vice President of Product Division at Aetina, stated: “Enterprise AI competitiveness now extends beyond model capabilities to deployment efficiency, data sovereignty, and long-term operations. Aetina MegaEdge AIP-RQ87’s rapidly deployable 2U edge platform helps enterprises and SIs pragmatically implement private LLMs, AI agents, and intelligent automation—making on-premises AI truly achievable.”

Mass Production Ready, Actively Expanding Global On-Premises AI Markets
MegaEdge AIP-RQ87 has entered mass production with CE, FCC Class A, and UKCA certifications, ready for global deployment. With AIP-RQ87 joining the MegaEdge PCIe Series, Aetina expands its enterprise-grade edge AI infrastructure portfolio—helping customers build secure, scalable, maintainable on-premises AI environments and accelerate from private LLM adoption to large-scale intelligent automation.

For more information, please visit www.aetina.com

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