Deep Learning Evolved
Deci’s deep learning platform automatically gears up your trained neural networks to become top performing production-grade solutions on any hardware, at scale.
Unleash Your Deep Learning Capabilities
Accelerate Inference Performance
Automatically accelerate inference performance by 2-10x, for any hardware, without compromising accuracy.
Maximize Efficiency on Any Hardware
Dramatically increase inference hardware utilization and cut up to 80% on your compute costs.
Deploy to Production in Days
Significantly reduce time-to-production of models with seamless and scalable deployment.
An End-to-End Approach to Deep Learning at Scale
Many AI and data science platforms focus on making incremental improvements to their models in synthetic lab environments–but don’t take into account the production environment and hardware. On the flip side, many MLOps platforms are dedicated to orchestrating and deploying these models in production, with no regard for the model itself. Deci’s platform is all about bridging model-aware and production-aware approaches. Based on field-proven experience, we merge both approaches in a way that lets every model shine.
Deci Platform
Model
Management
Manage your trained models across all common frameworks and production hosts: cloud, on-prem, edge, and mobile
Manage your trained models across all common frameworks and production hosts: cloud, on-prem, edge, and mobile
Inference Benchmarking
Analyze and get actionable insights for your models’ fitness across different hardware hosts and cloud providers
Analyze and get actionable insights for your models’ fitness across different hardware hosts and cloud providers
AutoNAC Optimization
Automatically optimize your models’ inference throughput/latency, in a hardware aware manner, without compromising accuracy
Automatically optimize your models’ inference throughput/latency, in a hardware aware manner, without compromising accuracy
Model
Packaging
Push your models seamlessly to a standardized inference server, ready for deployment and scaling on any environment
Push your models seamlessly to a standardized inference server, ready for deployment and scaling on any environment
Model
Serving
Serve your DL models with Deci’s Runtime Inference Container or Edge SDK to get the most out of your hardware
Serve your DL models with Deci’s Runtime Inference Container or Edge SDK to get the most out of your hardware
Any Task,
Any Framework,
Any Environment
Get full portability of your model development cycle across tasks, frameworks, and development environments.
Deep
Learning Tasks
Computer
VisionNLP
Voice
Tabular Data
Supported Frameworks
Development Environments
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On-Prem / Private Cloud
Achieve State-of-the-Art Performance, Powered by AutoNAC™
Boost your trained model's throughput/latency for any hardware, with Deci’s AutoNAC algorithmic optimization, without compromising on accuracy.
For Everyone in the
AI-Driven Organization
Tech Executive /
Product
- Unlock new DL use cases and product features by reaching unparalleled levels of performance, without having to compromise on quality
- Reduce total cost of ownership by up to 80% by maximizing hardware utilization
- Get to production faster by clearing bottlenecks from endless manual optimization, engineering friction, and complex deployment
Data Scientists /
ML Engineers
- Deliver state-of-the-art models, faster than ever, without worrying about performance, model size, and other constraints
- Focus on your core competency: solving business problems with AI
- Work in any framework without worrying about portability or what it means for production
Developers /
DevOps
- Smoothly integrate models with your application using a standard API, highly optimized for deep learning with near-zero communication overhead
- Receive models as standardized production instances (such as inference container), scalable and easily deployed on any environment
- Get actionable insights for your optimal hardware and discover new possibilities for execution on edge vs. cloud or GPU vs. CPU
Deploy Your Models Anywhere, Fast
Cloud / On-Prem / Edge / Mobile
Inference
Hardware
Container-Based
Environments
Mobile
Environments
Deploy Seamlessly with RTiC™
Deci’s Runtime Inference Container is a containerized deep learning runtime engine that easily turns any model into a blazing fast inference server.
