Build, optimize, and deploy blazing-fast deep learning models
For developers looking to achieve unparalleled deep learning capabilities
For organizations looking to maximize the potential of deep learning
Absolutely. The Community plan allows you to quickly start with your own deep learning models or start with a pre-loaded model from our ModelHub. You can upgrade your plan at any time by contacting us.
No. It’s free forever. Knock yourself out.
No. Credit card is not needed.
No limit, go for it.
There is no limit to the numbers of optimizations you can carry out. Keep in mind that if you are in the Community plan, you are limited to using any 5 of those optimized models.
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.
Learn more about our technology.
Learn more about the kind of results you can get.
Deci's deep learning acceleration platform enables you to push models from the Deci Lab, optimized or not, directly to one of our inference engines for seamless deployment and ultra-fast serving. Deci offers 2 types of runtime engines:
1. 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.
2. Scale your workloads with RTiC (Runtime Inference Container), a high-performance container-based inference server. RTiC fits best with microservice environments and has built-in performance optimizations.
Both plans offer optimization but the levels are different. The key difference is the availability of AutoNAC, which enables you to accelerate your neural model’s inference runtime on the cloud or at the edge, for maximum performance while preserving accuracy.
Deci’s deep learning acceleration platform for the Community plan offers out-of-the-box optimization techniques such as quantization. In addition, you can maximize the utilization of your CPU or GPU with our optimization capabilities that are integrated in our runtime inference container (RTiC).
Learn more about our technology.
You can upload and optimize as many deep learning models as you want.
The Community plan limits you to using any 5 of those optimized models for inference. Once you see how the different optimizations add value to the original model, you can choose which of the optimized models you want to deploy.
The Organizations plan includes unlimited usage of optimized models. Get in touch to get a quote.
Absolutely. You can invite an unlimited number of co-workers using the ‘Invite’ button within the platform. All of you will be able to collaborate on the same workspace.
Your data’s confidentiality and privacy are our highest priority. We comply with strict information security practices, and are ISO270001 and ISO 27799 compliant.
When you optimize your own model, it is uploaded to our server. We never use your model for any purpose other than its optimization on the platform.
For the Community plan, you do not need to upload any data aside from the model itself (e.g., dataset). Alternatively, you can use a pre-loaded model from our ModelHub.
For the Organizations plan, your data will serve as another input to our optimization engine to ensure that you get the full value of AutoNAC. The process can be done entirely on your premises, without the data ever leaving your site.
To learn more, please refer to our Privacy Policy.
Absolutely. You can easily integrate Deci’s deep learning acceleration platform using our API access. Read more about our API access.
With Deci’s deep learning acceleration platform, developers can accelerate inference performance by up to 15x, for any hardware, without compromising accuracy; cut up to 80% on compute costs; and reduce time-to-production of models.
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“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.”
AI Solutions and Sales Director, Intel
"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."
Head of Advanced AI Solutions & Technologies, HPE
"With Deci we were able to get 6.4x higher throughput on our detection model. Its easy-to-use platform allowed us to quickly optimize and benchmark for choosing our best configuration of hardware and parameters."
CTO, UNX Digital by Grupo Prominente
"The classification model I uploaded and integrated using Infery achieved a 33% performance boost, which is very cool for 10 minutes of work!"
Algorithm Developer, Sight Diagnostics
"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.”
CEO, WSC Sports Technologies
“With Deci, we increased by 2.6x the inference throughput of one of our multiclass classification models running on V100 machines - without losing accuracy. Deci can cut 50% off the inference costs in our cloud deployments worldwide.”
CTO and Co-Founder, Ibex Medical Analytics
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
Named a leader among AI optimization solutions
