Video

Demo: Deci Deep Learning Acceleration Platform

Together with Sefi Bell-Kligler, our VP of AI, this demo video takes you through a 10-min overview of the Deci platform capabilities. It shows an end-to-end demonstration of how to prepare a model for inference on any hardware (AutoNAC engine), benchmark its performance across multiple production environments, and deploy a model for inference in our runtime inference engine (RTiC).

Deci’s deep learning acceleration platform enables AI developers to build, optimize, and deploy blazing-fast deep learning models on any hardware. With the platform, you can:

  • Accelerate inference on the cloud, mobile, or edge. Get 3x-15x speedup optimization for inference throughput/latency while maintaining accuracy, enabling new use cases on your hardware of choice.
  • Reach production faster. Shorten the development cycle from months to weeks with automated tools. No more endless iterations and dozens of different libraries.
  • Maximize the potential of your hardware. Scale-up with existing hardware. No need for infrastructure changes and extra costs. Gain up to 80% reduction in compute costs.

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					from transformers import AutoFeatureExtractor, AutoModelForImageClassification

extractor = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50")

model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")