Case Studies

Learn how Deci is helping companies around the world to unlock the full potential of their deep learning capabilities – from accelerating inference performance, cutting compute costs, enabling seamless deployment, and more.

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  • Case Study

Optimize Deep Learning Models for Fast and Cost Efficient Cloud Inference at Scale

Discover how to cut down inference time and cost on existing hardware as well as migrate workloads to more affordable cloud instances.

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Improve Inspection Quality and Production Capacity with Higher Model Throughput

Learn how to boost your models’ performance and maximize hardware utilization to deliver accurate and cost-efficient cloud or edge inference.

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Scaling Up AI-Enabled Video Analytics Applications on NVIDIA Jetson Devices

Learn how three Deci’s customers have scaled up AI-enabled video analytics solutions across various verticals using our NAS-based platform.

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How Efficient Models Can Reduce AI’s Carbon Footprint

Discover how AI teams are building DNN architectures that consume anywhere from 30% to 80% less compute power for inference.

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Scaling Up AI-based Security Camera Solution

Learn how Deci more than doubled the number of streams for an AI-based security camera solution.

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The Future of CPU in Deep Learning Inference

Find out how Deci and Intel boosted ResNet-50’s performance by 11.8x while maintaining accuracy.

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WSC Sports Video Platform Reduces Cloud Cost by 78%

Discover how Deci achieved 4.6x acceleration in model throughput, without compromising accuracy.

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Commercial Viability for AI-based Medical Segmentation

Learn how Deci reduced the latency of a SAUNet model by 2X while preserving accuracy.

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