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evs+deci-logo2023

Meet with Deci at Embedded Vision Summit

May 22-24, 2023
Santa Clara, California

We’re exhibiting at Embedded Vision Summit on May 22-24 at the Santa Clara Convention Center.

Whether you are looking to achieve real-time performance, reduce model size, or increase throughput, Deci's NAS-based model optimization can help you deliver seamless inference on any edge device. 

Book a meeting with Deci’s experts to learn how Deci’s Automated Neural Architecture Construction Engine can empower your team to build highly accurate and efficient models for your edge AI applications.

See you at booth 715!

Talk with Deci's Experts

Don't Miss the Excitement at Booth 715!

See Deci's E2E Deep Learning Platform in Action

  • Learn more about how we can help you achieve your specific goals
  • Get a walkthrough of Deci’s platform where you can perform the end-to-end deep learning development cycle – from creating your own model and choosing the relevant public dataset, to selecting the right hardware and defining optimization KPIs

 

 

Discover the Power of YOLO-NAS, a Model Generated by AutoNAC

See for yourself how YOLO-NAS:

  • Runs at unparalleled accuracy and speed, outperforming other well-known models. 
  • Is fully compatible with high-performance inference engines like NVIDIA® TensorRT™ and supports INT8 quantization.
  • Leverages cutting-edge techniques, such as attention mechanisms, quantization aware blocks, and reparametrization at inference time.
  • Is easy to fine-tune to achieve SOTA results using Google Colab Notebook with the SuperGradients open-source library.

 

 

Talk with Deci's Experts 1-on-1

Get a free consultation session and learn how other leading AI teams are collaborating with Deci to solve edge AI design and deployment challenges

Tomer Keren

Tomer Keren
Deep Learning Engineer
LinkedIn →

Harpreet-Sahota

Harpreet Sahota
DevRel Manager
LinkedIn →

Mike Flynn

Mike Flynn
Sales Development Manager
LinkedIn →

 

evs-meet-experts

 

AutoNAC (Neural Architecture Search Engine)

Automatically find the architecture that delivers the highest accuracy for your specific speed, size, and inference hardware targets

Tailored for Your Task & Performance Goals

Run a multi-objective search to generate an architecture optimized for several parameters (accuracy, throughput, latency, model size, and memory footprint)

Hardware Aware Neural Architecture Search

Take hardware constraints into account to unlock optimal efficiency that hit your performance targets

Outperforms any SOTA Computer Vision Model

Deliver the best accuracy and speed for your specific use case that outperform SOTA open-source neural networks

 

 

How to Find Deci's Booth 715

EVS Deci Booth 2023

Talk with Deci's Experts