NexaSDK for Mobile
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Ship on-device AI to iOS & Android in 3 lines of code.
What is NexaSDK for Mobile?
NexaSDK for Mobile is an SDK that enables on‑device AI inference for iOS and Android, supporting a wide range of model types (LLM, VLM, embeddings, ASR, reranker, computer vision) and hardware acceleration (CPU, GPU, Qualcomm Hexagon NPU) with a simple three‑line integration.
Key Features
Supports multiple model types: LLM, VLM, embeddings, ASR, reranker, computer vision.
Hardware acceleration for CPU, GPU, and Qualcomm Hexagon NPU.
Simple Kotlin/Java API for Android and Swift/Objective‑C API for iOS.
2× faster performance and 9× greater energy efficiency compared to baseline.
Runs latest state‑of‑the‑art models on‑device without network connectivity.
Cross‑platform support for iOS and Android with unified SDK.
Who Will Use NexaSDK for Mobile?
Mobile app developersAI engineers building on‑device inferenceProduct teams needing offline AI featuresSoftware engineers integrating LLMs, vision or speech models into iOS/Android apps
How to Use NexaSDK for Mobile
- 1Add the NexaSDK dependency to your iOS or Android project.
- 2Configure the SDK via the builder‑pattern, specifying the model and desired hardware (CPU/GPU/NPU).
- 3Invoke the provided inference APIs – typically only three lines of code are needed to run the model on‑device.
Pros & Cons
Pros
- Full on‑device processing preserves user privacy.
- Low latency because inference runs locally.
- Reduced bandwidth and operational costs (no server calls).
- Energy‑efficient execution on supported NPUs and GPUs.
- Straightforward integration with just a few lines of code.
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