Qualcomm NPU Mobile
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Multimodal models running on Qualcomm NPU for Snapdragon8 Gen4
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EmbedNeural
On-device multimodal embedding model enabling instant, private NPU-powered visual search.
Model Description
EmbedNeural is the world’s first multimodal embedding model purpose-built for Qualcomm Hexagon NPU devices. It enables instant, private, battery-efficient natural-language image search directly on laptops, phones, XR, and edge devices — with no cloud and no uploads.
The model continuously indexes local images using NPU acceleration, turning unorganized photo folders into a fully searchable visual database that runs entirely on-device.
Key Features
⚡ NPU-accelerated multimodal embeddings
Optimized for Qualcomm NPUs to deliver sub-second search and dramatically lower power consumption.
🔍 Natural-language visual search
Query thousands of images instantly using everyday language (e.g., “green bedroom aesthetic”, “cat wearing sunglasses”).
🔒 100% local and private
All computation stays on-device. No cloud. No upload. No tracking.
🔋 Ultra-low power
Continuous background indexing uses ~10× less power than CPU/GPU methods, enabling true always-on search.
Why It Matters
People save thousands of images — memes, screenshots, design inspo, photos — but struggle to find them when needed. Cloud solutions compromise privacy; CPU/GPU search drains battery.
EmbedNeural removes these tradeoffs by combining:
- Instant retrieval (~0.03s across thousands of images)
- Continuous local indexing
- Zero data upload
- NPU-optimized efficiency for daily use
This makes visual search something you can actually use every day, not just when plugged in.
Use Cases
- Personal image libraries: Rediscover memes, screenshots, and old photos instantly.
- Creative workflows: Search moodboards and visual references with natural language.
- Edge & embedded systems: Efficient multimodal search for mobile, XR, IoT, and automotive.
Performance Highlights
- Sub-second search even across large image libraries
- ~10× lower power consumption vs CPU/GPU search
- Stable always-on indexing without thermal or battery issues
License
This model is released under the Creative Commons Attribution–NonCommercial 4.0 (CC BY-NC 4.0) license.
Non-commercial use, modification, and redistribution are permitted with attribution.
For commercial licensing, please contact dev@nexa.ai.
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