ON-PREM
Embedl SDK
Deploy faster, lighter deep learning models without losing accuracy.
Adaptive Quantization
Automatically adjust [model] precision layer by layer to reduce size and latency while preserving accuracy.
Latency-Constrained NAS
Automatically design and fine-tune architectures to meet strict latency targets with improved accuracy.
Hardware-Aware optimization
Tune precision and structure to match your target hardware for maximum performance and efficiency.
Transparent, Source-Available Toolkit
Work with a transparent, source-available SDK that gives you full flexibility and long-term control.
Visual Performance Insights
Inspect your models, track metrics, and compare optimization results directly inside the SDK.
Full On-Premise Control
Keep your models, data, and IP secure by running all optimizations within your own infrastructure.
Onboarding Workshops
Learn practical techniques for quantization, pruning, and hardware-aware optimization to get the most out of the SDK from day one.
Expert Support
Collaborate directly with our optimization experts to achieve best-in-class performance across hardware targets.
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