🔥36氪•Stalecollected in 19m
Longsys ePOP4x Ships to NA Wearables
💡Edge AI storage now shipping for top wearables—key for device builders.
⚡ 30-Second TL;DR
What Changed
UFS4.1 flagship storage in mass production
Why It Matters
Flagship UFS4.1 has achieved scaled shipments.
What To Do Next
Test Longsys ePOP4x in your edge AI wearable prototypes for storage benchmarks.
Who should care:Developers & AI Engineers
Key Points
- •UFS4.1 flagship storage in mass production
- •ePOP4x bulk applied in NA wearable giant devices
- •Products tailored for end-side AI wearables
🧠 Deep Insight
AI-generated analysis for this event.
🔑 Enhanced Key Takeaways
- •Longsys's ePOP (embedded Package-on-Package) solutions integrate NAND flash and mobile DRAM into a single package, specifically designed to minimize PCB footprint for space-constrained devices like smartwatches and TWS earbuds.
- •The adoption of UFS 4.1 by Longsys represents a strategic move to support the high-bandwidth, low-latency requirements of on-device generative AI models, which require faster data throughput than previous UFS 3.1 iterations.
- •Longsys is increasingly positioning itself as a vertically integrated storage provider, leveraging its 'FORESEE' brand to compete directly with established memory giants in the high-performance edge AI and wearable market segments.
📊 Competitor Analysis▸ Show
| Feature | Longsys ePOP4x | Samsung ePOP | Micron ePOP |
|---|---|---|---|
| Target Market | Edge AI Wearables | High-end Smartphones/Wearables | Industrial/Automotive/Wearables |
| Integration | NAND + LPDDR4x | NAND + LPDDR5/5x | NAND + LPDDR4x/5 |
| Market Position | Cost-effective/Customizable | Premium/High-volume | Reliability-focused |
🛠️ Technical Deep Dive
- ePOP4x Architecture: Combines LPDDR4x DRAM with UFS-based NAND flash in a stacked configuration to reduce Z-height and board area.
- UFS 4.1 Specifications: Utilizes MIPI M-PHY v5.0 and UniPro v2.0 protocols to achieve theoretical interface speeds up to 4.6 GB/s per lane, optimized for power efficiency in battery-operated devices.
- Thermal Management: Longsys utilizes advanced packaging materials to improve heat dissipation in ultra-thin form factors, critical for maintaining performance in wearable devices during AI inference tasks.
🔮 Future ImplicationsAI analysis grounded in cited sources
Longsys will expand its market share in the North American wearable sector.
Securing a design win with a major North American wearable manufacturer validates their product quality and supply chain reliability for high-volume consumer electronics.
On-device AI capabilities in wearables will accelerate in 2026-2027.
The mass production of high-speed storage like UFS 4.1 and compact ePOP solutions removes the hardware bottleneck for running local AI models on small-form-factor devices.
⏳ Timeline
2022-08
Longsys completes the acquisition of Lexar to strengthen its global brand presence.
2023-06
Longsys officially lists on the Shenzhen Stock Exchange (ChiNext).
2024-04
Longsys announces the expansion of its embedded storage portfolio to include automotive-grade UFS products.
2025-11
Longsys showcases its latest edge AI storage solutions at major industry trade shows.
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Original source: 36氪 ↗