Tag: Model Deployment
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Test-Time Augmentation in Production: 3x Slower, 1.2% Better
TTA promises better accuracy but costs 5x GPU budget. Real benchmarks from defect detection, medical imaging, and ImageNet show when it's worth it.
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AWS SageMaker vs GCP Vertex AI: Cold Start Latency Test
Compare AWS SageMaker vs GCP Vertex AI cold start latency in real-world tests. One platform surprised us with 40% faster inference times.
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TFLite Inference Fails on Android: 5 ONNX Mobile Fixes
Fix TFLite Android crashes with ONNX Runtime โ 5 solutions for dynamic shapes, quantization bugs, GPU failures, and memory leaks with real benchmarks.
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ONNX Export Pitfalls: 7 PyTorch โ Production Gotchas
Fix ONNX export failures fast. Learn the 7 critical PyTorch-to-production gotchas that silently break modelsโand how to catch them before deployment.
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Deploying RUL Models: Optimization and PHM Integration
Deploy RUL models without crashing production: quantization cuts inference from 45ms to 8ms. Real metrics, optimization code, and PHM integration.