Performance-Adaptive Deployment

Melange provides the best user experience by benchmarking AI model performance on a pool of real-world devices. It benchmarks different processors from various manufacturers, including CPU, GPU, and NPU. Based on these results, Melange ensures optimal performance on the deployed user's target device, regardless of the device type.

Measurement-Based, Not Rule-Based

Traditional deployment uses static rules (e.g., "Use GPU if version > X"). This often fails due to driver fragmentation and thermal throttling.

Melange is different. We establish ground truth by measuring:

• Actual Latency: Millisecond-precision inference time measured on physical devices.
• Throughput: Real-world tokens/frames per second capacity.
• Stability: Continuous execution reliability under thermal stress.

Based on this data, we identify the specific model binary that yields the highest performance for each device model.

Global Deployment Assurance

By testing against the fragmented landscape of Android and iOS hardware, we guarantee:

• Guaranteed Runtime Compatibility: Your model is rigorously verified to load and execute correctly on every variation of Android and iOS targets.
• Adaptive Binary Selection: The runtime dynamically resolves the exact quantized binary that yields maximum throughput for the specific NPU chipset.
• Optimal Deployment Strategy: Deployment decisions are governed by deterministic benchmark data from our device farm, eliminating theoretical guesswork.

Validation Workflow

1. Provision Test Environment

We instantiate an isolated, on-device runtime environment mirroring the target OS and hardware configuration.

2. Distributed Workload Execution

The compilation artifacts, model metadata, and test vectors are dispatched to a distributed device farm. We execute the model on over 200 physical devices to capture real-world metrics.

3. Telemetry Analysis and Winner Selection

We aggregate the performance data to select the "Winning Model" for each device identifier. This determines which compiled binary variant (quantization level, backend, optimization profile) performs best on each specific device.

4. Automatic Distribution

When a user installs your app, the Melange Runtime automatically fetches the "Winning Model" for their device. This creates a seamless, high-performance experience without any manual configuration from the developer.

Advanced Telemetry Report (Premium)

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Next Steps

• Understanding Model Keys: Model identifiers and versioning
• Device Compatibility: Supported NPU chipsets
• Benchmark Methodology: How benchmarks are measured