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News&Events News Release 🔍 Tech Hunt at Embedded World 2025: Innovations That Redefine the Edge
News Release
24.Mar.2025
🔍 Tech Hunt at Embedded World 2025: Innovations That Redefine the Edge
Embedded World 2025 brought together a wide array of next-generation technologies focused on AI, edge computing, and connectivity. This year's Tech Hunt uncovered exciting solutions ranging from on-premise AI servers to privacy-first retail analytics and ultra-efficient wireless IoT. Here's a curated look at the standout technologies that are shaping the future of edge intelligence:
🧠 1. Edge Servers for On-Premise LLM AI
As large language models (LLMs) continue to move from the cloud to the edge, high-performance edge server solutions are taking the spotlight.
Highlighted Solution: Supermicro SYS-322GA-NR
- A robust 3U rackmount server designed for edge AI inference and on-prem LLM workloads:
- Dual Intel® Xeon® 6900 series processors
- Supports up to 6TB DDR5-6400 via 24 DIMM slots
- Up to 20 PCIe 5.0 slots for GPUs and DPUs
- 6x hot-swap E1.S PCIe 5.0 NVMe bays
- Redundant 3200W Titanium-level power supply
Honorable Mention:
Congatec COM-HPC passive-cooled edge server – a fanless solution enabling reliable AI performance in thermally constrained environments.
⚡ 2. Qualcomm AI Accelerators for Edge Inference
Qualcomm introduced compact, high-performance AI solutions built for localized intelligence across industries:
- Snapdragon X – Delivers up to 45 TOPS with integrated 5G and Wi-Fi 7 (up to 10Gbps), ideal for high-speed, real-time edge inference.
- AI 100 Card – A PCIe-based AI accelerator providing up to 870 TOPS at 150W with 128GB LPDDR4x memory for demanding workloads.
- QCR100 – A flexible edge AI device with dual 86xx SoCs supporting cloud-based development and bit-accurate resimulation for automotive-grade applications.
☀️ 3. Micro-Power Wi-Fi for Sustainable IoT
The Qualcomm QCC730M Wi-Fi module stood out as a breakthrough for ultra-low-power IoT applications.
Key features of the QCC730M:
- 1x1 dual-band Wi-Fi 4 with micro-power operation
- Selectable power modes for extended battery or solar-powered use
- Open-source SDK and VS Code IDE for easy integration
- Full-stack cloud offloading for minimal host processor load
🔌 4. AI in EV Charging Stations with Intel Meteor Lake
AI-driven smart infrastructure was on display through Intel's Meteor Lake-powered EV charging station.
Key capabilities include:
- Real-time license plate recognition to confirm EV vehicle type
- Facial expression analysis to measure engagement with digital signage
🛍️ 5. Intel Retail Solutions: Elevating Store Intelligence
Intel's retail technology spotlighted AI-driven solutions designed to improve operational efficiency, customer engagement, and data privacy in retail environments.
🧾 Loss Prevention with Generative AI Video Summarization
This solution uses Vision-Language Models (VLMs) and LLMs to generate smart video summaries of in-store incidents like theft, shelf gaps, or spills—enhancing security while minimizing manual review.
Benefits:
- Quick event detection and indexing
- Better situational awareness and inventory control
- Optimized store operations
- Intel® Core™ 14th Gen Processors – AI-capable CPUs for edge inference
- Intel® Arc™ Graphics – Real-time visual processing
- OpenVINO™ Toolkit – Streamlined AI model inference
📊 AI-Powered Retail Insights by meldCX
meldCX showcased privacy-preserving analytics for customer behavior and store performance.
Capabilities include:
- Tracking movement, engagement zones, and POS conversion
- Heatmaps for store layout optimization
- Anonymous data capture (no PII), compliant with GDPR and ISO 27001
- Seamless edge AI scaling via Intel Tiber Edge Platform
- Intel® Xeon® D Processors – Efficient AI and compute at the edge
- Intel® Tiber Edge Platform – Secure lifecycle management of distributed edge infrastructure
🌐 Conclusion
From scalable AI edge servers to privacy-focused retail analytics and solar-powered IoT modules, Embedded World 2025 showcased a clear trend: AI and edge computing are merging to power intelligent, secure, and sustainable systems. These innovations represent a turning point in how AI is deployed—from centralized cloud infrastructure to real-time, on-site intelligence. The edge is no longer the future—it's now.
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