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The Deep Learning Acceleration Platform

Radically faster inference. Maximum efficiency. Deployed in days on any hardware.

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Deep Learning Has a Barrier

The productization of deep learning models is limited by constrained hardware, poor inference performance, high operational cost, and long development cycles.

Deci's deep learning platform optimizes your models to reach top performance and efficiency, while enabling seamless deployment in any production environment and hardware.

Unleash Your Deep Learning Capabilities

Transform your data science experiments into production-grade solutions

Accelerate Inference Performance

Optimize throughput/latency by up to 10x, with the same accuracy

Maximize Efficiency on Any Hardware

Increase inference hardware utilization and cut up to 80% off your compute costs

Deploy to Production in Days

Seamlessly deploy trained models from the lab to any production environment

Accelerate Inference Performance

Optimize throughput/latency by up to 10x, with the same accuracy

Maximize Efficiency on Any Hardware

Increase inference hardware utilization and cut up to 80% off your compute costs

Deploy to Production in Days

Seamlessly deploy trained models from the lab to any production environment
Introducing Deci’s

Deep Learning Platform

Deci’s deep learning platform automatically gears up your neural networks,
to become top-performing production-grade solutions on any hardware, at scale.

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Find your Solution

Real-time Deep Learning Inference

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Maximize Data Center HW Utilization

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Reduce Deep Learning Cloud Cost

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Containerized Model Serving

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Real-time Deep Learning Inference

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Maximize Data Center Hardware Utilization

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Reduce Deep Learning Cloud Cost

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Containerized Model Serving

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AI Crafted by AI
with AutoNAC™

Deci’s Automated Neural Architecture Construction is a cutting-edge algorithmic acceleration technology. It autonomously redesigns your deep learning models to amplify throughput and minimize latency, while preserving accuracy. AutoNAC™ is hardware-aware. It optimizes any model for the target host to reach top performance in production.

EXPLORE TECHNOLOGY
AutoNAC White Paper

Technical White Paper

Deci’s AutoNAC™ performs a smart high-speed search across a huge set of neural network architectures to aggressively speed up runtime, while preserving accuracy. We accomplish this by optimizing the fit between the neural network structure, the user’s dataset, and the target computing hardware. Download our technical white paper to read more.

DOWNLOAD WHITE PAPER

“Deci shares our vision that AI in production requires operating in heterogeneous infrastructure environments. Their technology makes inferencing accessible and affordable anywhere, from the edge to the data center. By collaborating with Deci, we aim to help our customers accelerate AI innovation and deploy AI solutions everywhere using our industry-leading platforms, from data center systems that are ideally suited to train deep learning models to edge systems that accelerate high-throughput inference.”

Arti Garg, Head of Advanced AI Solutions & Technologies, HPE

“Deci delivers optimized deep learning inference on Intel processors as highlighted in MLPerf. Optimizing advanced AI models on general purpose infrastructure based on Intel Xeon Scalable CPUs allows our customers to meet performance SLAs, reduce cost, decrease time to deployment, and gives them the ability to effectively scale.”

Monica Livingston, AI Solutions and Sales Director, Intel

"Using Deci’s platform we achieved a 2.6x increase in inference throughput of one of our heavy multiclass classification models running on V100 machines - without losing accuracy. Deci can cut 50% off the deep learning inference compute costs in our cloud deployments worldwide. We are very impressed by Deci's technology!"

Chaim Linhart, CTO and Co-Founder, Ibex Medical Analytics
wsc sports improve AI models using Deci AI

"We are excited to be working with Deci's platform - it provided amazing results and achieved 4.6x acceleration on a model we ran in production and helped us provide faster service to our customers.”

Daniel Shichman, CEO, WSC Sports Technologies

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