The Deep Learning Platform

Production-Grade Performance, Faster.

Simplify and accelerate the development of computer vision, Generative AI and NLP applications with advanced tools to build, optimize, and deploy accurate and highly efficient models.

Gain Unparalleled
Performance in No Time

Achieve accuracy & runtime performance that outperform SoTA models for any use case and inference hardware.

Shorten Time to
Market

Reach production faster with automated tools. No more endless iterations and dozens of different libraries.

Scale Inference
Cost Efficiently

Maximize hardware utilization to enable new use cases on resource constrained devices or cut up to 80% of your cloud compute costs.

Build & Deploy Better DL Models, Faster

Choose a Pre-trained Foundation Model

Select a highly efficient foundation model generated with Deci’s NAS-based AutoNAC engine or generate a custom one.

Fine-tune For Your
Data on Premise

Train or fine-tune 2x faster, with Deci’s library or your library of choice.

Optimize & Run Self-
Hosted Inference

Automatically apply advanced acceleration techniques and run the model anywhere you’d like.

Deci Platform Powered by AutoNAC™

Gain Unparalleled Performance in No Time

Achieve accuracy & runtime performance that outperform SoTA models for any use case and inference hardware.

Shorten Time to
Market

Reach production faster with automated tools. No more endless iterations and dozens of different libraries.

Scale Up
Efficiently

Maximize hardware utilization to enable new use cases on resource constrained devices or cut up to 80% of your cloud compute costs.

Here’s where Deci can help you

Get direct access to enterprise-grade models generated with AutoNAC. Enhance performance, reduce risk, and cut development time from months to days.

0 %

Shorter development process. Go from data to production ready model in days.

0 %

Lower development costs per model on average.

0 X

Inference
acceleration

0 X

Inference cost reduction

See The Results

0 %

Shorter development process. Go from data to production ready model in days.

0 %

Lower development costs per model on average.

0 X

Inference
acceleration

0 X

Inference cost reduction

Here’s where Deci can help you

Gain Unparalleled Performance in No Time.

Increase Throughput

Reduce Latency

Reduce Model Size

Reduce Memory Footprint

Key Features:

Automate Compilation & Post Training Quantization

Easily compile and quantize your models (FP16/INT8) and evaluate different production settings with a click of a button.

Build Efficient
Architectures

Build accurate & efficient architectures tailored for the application, hardware, and performance targets with Deci’s AutoNAC -a NAS based engine.

Quantization
Aware Training

Boost performance without compromising on accuracy by quantizing your model to INT8 during the training process with one line of code.

Accelerate
Pipeline

Boost model serving performance with parallelism and concurrent execution. Compatible with multiple frameworks and hardware types.

Achieve the optimal accuracy-latency tradeoff for your application.

Key Features:

Build Better Models Architectures

Achieve better accuracy with custom architecture built with Deci’s NAS engine - AutoNAC.

Maximize Accuracy with Advanced Training Techniques

Train models with the SuperGradients library and leverage custom training recipes with one line of code.

Save precious time with simplified model profiling and benchmarking.

Key Features:

Find the Bottlenecks in your Model

Benchmark runtime performance of every layer in your neural network to find inference runtime bottlenecks in the architecture as it runs on your target inference Hardware.

Find the Best HW for the Job

Benchmark your models’ expected inference performance across multiple hardware types on Deci’s online hardware fleet. Get actionable insights for the ideal hardware and production settings.

Measure Performance Before You Train

Easily benchmark and compare the performance of different models on your target inference hardware against other hardware including GPUs, CPUs, and commercial edge devices.

Deploy Your Models with 3 lines of Code.

Key Features:

Containerized Production Environment

Save time and hassle by getting a containerized inference engine that can be easily plugged into your production environment.

Seamless Portability with a Unified API

Easily switch between inference frameworks with zero code changes. Compatible with multiple frameworks and hardware types.

“Controlling our inference cloud spend without compromising on performance is key for our business success. Deci enabled us to scale our workloads while reducing costs and improving our users’ experience.”

Dr. Yair Adato

Founder & CEO at BRIA

“At Adobe, we deliver excellent AI-based solutions across a wide range of cloud and edge environments. By using Deci, we significantly shortened our time to market and transitioned inference workloads from cloud to edge devices. As a result we improved the user experience and dramatically reduced our spend on cloud inference cost.”

Pallav Vyas

Senior Engineering Manager, Document AI & Innovation at Adobe

“Our advanced text to videos solution is powered by proprietary and complex generative AI algorithms. Deci allows us to reduce our cloud computing cost and improve our user experience with faster time to video by accelerating our models’ inference performance and maximizing GPU utilization on the cloud.”

Lior Hakim

Co-Founder & CTO at HourOne

“Applied Materials is at the forefront of materials engineering solutions and leverages AI to deliver best-in-class products. We have been working with Deci on optimizing the performance of our AI model, and managed to reduce its GPU inference time by 33%. This was done on an architecture that was already optimized. We will continue using the Deci platform to build more powerful AI models to increase our inspection and production capacity with better accuracy and higher throughput.”

Amir Bar

Head of SW and Algorithm, Applied Materials

“Deci delivers optimized deep learning inference on Intel processors as highlighted in MLPerf, allowing 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

“At RingCentral, we strive to provide our customers with the best AI-based experiences. With Deci’s platform, we were able to exceed our deep learning performance goals while shortening our development cycles. Working with Deci allows us to launch superior products faster.”

Vadim Zhuk

Senior Vice President R&D, RingCentral

“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 centers to edge systems that accelerate high-throughput inference.”