Blog
Discover deep learning insights and trends. Read stories from Deci’s platform users. Stay in the know about our product and technology as we make DL tools more accessible to developers across industries.
Featured Blog
How Deci and Intel Hit 11.8x Inference Acceleration at MLPerf
MLPerf provides fair and standardized benchmarks for measuring inference performance of machine and deep learning. Our submission to MLPerf proved that our AutoNAC technology reduces runtime while preserving the accuracy of the base model.
READ MORE
How to Convert a PyTorch Model to ONNX in 5 Minutes
Learn about ONNX and how to convert a ResNet-50 model to ONNX. Then, try optimizing it to reduce its latency and increase its throughput.
READ MORE
Graph Compilers for Deep Learning: Definition, Pros & Cons, and Popular Examples
Let’s take deeper dive into how graph compilers work to better understand how, when used correctly, they can offer enormous amounts of acceleration.
READ MORE
How to Automatically Double YOLOv5 Performance in Less Than 15 Minutes
In this post, you'll learn how the Deci platform can optimize your machine learning models. We use the YOLOv5 in our example, but the platform allows you to optimize any model.
READ MORE
How Deci and Intel Hit 11.8x Inference Acceleration at MLPerf
MLPerf provides fair and standardized benchmarks for measuring inference performance of machine and deep learning. Our submission to MLPerf proved that our AutoNAC technology reduces runtime while preserving the accuracy of the base model.
READ MORE
Toward Defining AutoML for Deep Learning
To date, there is no widely-accepted definition of AutoML, and the industry is using this term to refer to many different things.
READ MORE
Hardware for Deep Learning Inference: How to Choose the Best One for Your Scenario
Deep neural networks have become common practice in many machine learning applications.
READ MORE
An Introduction to the Inference Stack and Inference Acceleration Techniques
Deep neural networks can achieve state-of-the-art performance on many machine learning tasks.
READ MORE
The Correct Way to Measure Inference Time of Deep Neural Networks
Accurately measuring the inference time of neural networks is not as trivial as it sounds. In this post, we review some of the main issues that should be addressed to measure latency time correctly.
READ MORE
Are All FLOPs Created Equal? A Comparison of FLOPs vs Run-Time
At the beginning of the deep learning era, our main goal was to reach new levels of accuracy.
READ MORE
