AIP-KQ67
Description
AIP-KQ67 is a cutting-edge Edge AI system from Aetina, designed to deliver datacenter-level AI performance at the network edge. Equipped with Intel 13th and 14th Gen processors and the high-performance Qualcomm AI100 Ultra accelerator, this compact system enables organizations to deploy and run large AI models locally without relying on cloud infrastructure.
 Technical Specifications
Component | Specifications |
---|---|
CPU | Supports Intel Core i5/i7/i9 13th & 14th Gen |
Memory (RAM) | Up to 192GB DDR5 UDIMM |
AI Accelerator | Qualcomm Cloud AI100 Ultra ×1 |
AI Card Interface | PCIe Gen4x16 |
Cooling System | Passive Cooling (silent and energy-efficient) |
Upgrade Options | Supports future upgrades with 2× AI100 Ultra cards and PCIe Gen5 |
Device Management | Built-in EdgeEye for remote monitoring, health checks, and intelligent fan control |
Key Features
- Processing Power up to 870 TOPS: Ideal for heavy workloads in machine learning, computer vision, and generative AI models.
- Support for Large Language Models (LLMs) up to 70B Parameters: With 128GB onboard memory in the AI card.
- Full Compatibility with Popular Frameworks: TensorFlow, PyTorch, ONNX, as well as inference servers like Triton and VLLM.
- Multimodal AI Support: Handles text, image, audio, code, and enterprise chatbots efficiently.
- Seamless Model Deployment: Convert and deploy models easily via ONNX and Qualcomm’s QPC framework.
Competitive Comparison (for LLM up to 70B)
Feature | AIP-KQ67 | Workstation with RTX 6000 Ada ×4 | Dell R760 with H100 NVL ×2 |
---|---|---|---|
CPU | Intel Core i5/i7/i9 13th/14th Gen | Xeon W5-3435X | Xeon 4410Y |
RAM | Up to 192GB DDR5 UDIMM | 128GB DDR5 RDIMM | 256GB DDR5 RDIMM |
AI Accelerator | Qualcomm AI100 Ultra ×1 | NVIDIA RTX 6000 Ada ×4 | NVIDIA H100 NVL ×2 |
AI Card Power Consumption | 150W | 250W per card | Very high |
Cooling | Passive | Active | Active |
Device Management | EdgeEye | None | None |
70B LLM Support | ✅ Yes | ✅ Yes | ✅ Yes |
Insight: AIP-KQ67 provides datacenter-level AI performance with lower energy consumption, silent operation, and easier management compared to competing NVIDIA-based solutions.
Recommended Use Cases
Use Case | Description |
---|---|
Document Summarization & Reports | Deploy LLMs like LLaMA 3.3 and Granite to generate executive summaries for management, legal, or administrative tasks. |
Text-to-Image Generation | Use vision-language models like LLaVA or LLaMA-Vision for creative content, advertising, or research purposes. |
Speech-to-Text | Whisper-based transcription for meetings, calls, or audio content processing. |
Code Generation & Enterprise Chatbots | Leverage CodeLlama and Starcoder to build intelligent development assistants or internal chatbots. |
Data Analysis & Reporting | RAG and embedding models for finance, marketing, or sales teams to extract insights efficiently. |
Smart Enterprise Assistants | Automate order management, performance monitoring, equipment tracking, and regulatory compliance. |
Competitive Advantages
- Compact Form Factor with Datacenter-Class Performance
- Lower Energy Consumption than NVIDIA-based workstations
- Support for Advanced Multimodal AI Models
- Future-Proof Upgrade Options with additional AI cards and PCIe Gen5
- Ideal for Organizations Seeking On-Prem AI Deployment without complex infrastructure
Summary
AIP-KQ67 is a premium, edge-ready AI workstation designed for enterprises that require high-performance AI inference locally, reduced energy costs, silent operation, and future scalability. It is perfect for deploying large multimodal models, accelerating AI workloads, and implementing smart enterprise applications without relying on cloud services.
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