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.
Achieve accuracy & runtime performance that outperform SoTA models for any use case and inference hardware.
Reach production faster with automated tools. No more endless iterations and dozens of different libraries.
Maximize hardware utilization to enable new use cases on resource constrained devices or cut up to 80% of your cloud compute costs.
Choose an ultra performant model or generate a custom one.
Neural Architecture Search Engine
Use Deci’s library & custom recipe to train on-prem.
PyTorch Training Library
Apply acceleration techniques. Run self-hosted inference anywhere.
Optimization & Inference Engine SDK
Shorter development process. Go from data to production ready model in days.
Lower development costs per model on average.
Inference cost reduction
The world's most efficient and cost effective foundation models.
Gain a competitive edge through advanced model customizations.
Self-hosted inference. No vendor lock-in. Ideal for enterprises and for handling sensitive data.
from transformers import AutoFeatureExtractor, AutoModelForImageClassification extractor = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50") model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")