For developers looking to accelerate inference and deploy to production in no time.
For deep learning teams looking to achieve better than SOTA accuracy & inference performance.
For deep learning experts looking to meet specific performance goals for highly customized use cases.
Hardware Benchmarking
Compilation & Post Training Quantization (FP16 / INT8)
Inference Engine
AutoNAC Engine Runs
Quantization Aware Training
Supported
Supported Frameworks
Support
Legal Terms
A wide range of hardware including edge devices
Standard
Support Team / 24 hours
Standard
A wide range of hardware including edge devices
Standard
Dedicated DL expert / 12 hours
Standard
Any hardware
Any framework
Dedicated DL expert / custom SLA
Custom
With Deci’s deep learning development platform, developers can accelerate inference performance by up to 5x, for any hardware, without compromising accuracy; cut up to 80% on compute costs; and reduce time-to-production of models.
Selected as one of the top 100 AI startups in the world
Recognized as a tech innovator for edge AI
Achieved 11.8x acceleration in collaboration with Intel
Recognized as a tech innovator for edge AI
Yes, the Basic, Professional, and Enterprise Plans are all annual subscriptions.
Absolutely. The basic plan allows you to quickly start optimizing your deep learning models. You can upgrade your plan at any time by contacting us.
AutoNAC, short for Automated Neural Architecture Construction, is Deci’s proprietary optimization technology. It is a Neural Architecture Search (NAS) algorithm that provides you with end-to-end accuracy-preserving hardware-aware inference acceleration. AutoNAC considers and leverages all components in the inference stack, including compilers, pruning, and quantization.
Deci’s deep learning development platform enables you to push models from the Deci Lab, optimized or not, directly to our inference engine for seamless deployment and ultra-fast serving. Quickly run inference on your models with Infery, a Python inference runtime engine that simplifies deep learning model inference across multiple frameworks and hardware using only 3 lines of code.
Absolutely. You can easily integrate Deci’s deep learning acceleration platform using our API access. Read more about our API access.
from transformers import AutoFeatureExtractor, AutoModelForImageClassification
extractor = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50")
model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")