Resources - Deci

Webinar: How to Leverage Neural Architecture Search to Optimize Your Models

Learn about Neural Architecture Search (NAS) which holds the power to efficiently generate DNNs designed to meet your production constraints.

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How to Find the Best Hardware for Deep Learning Model Inference

Finding the right hardware for your model inference can be a daunting task, here are 4 key parameters to consider when you select hardware for inference.

Intel and Deci Collaboration: Deci Breaks the AI Barrier (Again)

After the joint submission to MLPerf, Intel and Deci collaborated again to accelerate three off-the-shelf models: ResNet-50, ResNeXt101, and SSD MobileNet V1.

Tutorial: How to Convert a PyTorch Model to ONNX in 5 Minutes

Using the`torch.onnx.export` function, learn how to convert a PyTorch model into an ONNX format. It only takes less than 5 minutes!

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Webinar: How to Accelerate and Deploy YOLOv5 in 15 Minutes

A hands-on webinar where you'll learn a simple and fast way to accelerate and deploy a YOLOv5 model (or any other deep learning model) in less than 15 minutes.

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Exciting News: Deci Raises $21 Million in a Series A Funding Round

Join us on our journey towards making AI efficient, accessible, and scalable for all organizations.

Deci Lab Tutorial: How to Use Infery, a Python Runtime Engine

Infery lets you run inference locally or on edge devices with only 3 simple commands. Here's how to use it.

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Deci Lab Tutorial: How to Optimize a Model

Our product manager, Amir Servi, walks you through the process of optimizing a model in Deci's platform.

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Deci Lab Tutorial: How to Add a New Model

It only takes 2 minutes to add a new model to Deci's Deep Learning Development Platform.

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