Advantages of NetsPresso
You can get 'Fast', 'Cost-effective', 'Energy-efficient' & 'Accurate' AI models.
- Faster inference by improving latency
- Minimization of memory footprint
- Minimization of power consumption
- No significant accuracy compromises
You can shorten deep learning development cycles effortlessly.
- Automation of building, compressing and deploying AI models
- Hardware-aware model training, profiling, and converting on actual devices
- One stop shop for project management and AI expertise
- Shortening of the learning curve without having to go through numerous trial-and-error
- Pre-optimized model architecture found before training to reduce computation
Adaptable to a variety of AI expertise and/or development stages
- A la carte style usage is allowed as each module can be used separately or altogether
- Intuitive web-based GUI that requires no additional set-up and enables users to kick-start development right away
- Advanced options available for experts to reach high performance
Interoperability with other existing solutions
- Support all CNN architectures for custom models
- Interoperability with popular devices (NVIDIA, Arm based Processors, Intel, and more to come)
- The CLI interface and API support allow for easy integration with the development pipeline you already have. (tbd)
NetsPresso upgrades your technical ability to develop AI models through its state-of-the-art technologies
- Use autoML with no advanced AI knowledge
- Auto-compression possible without any deep-understanding of compression technologies
- Reduce amount of computation through compression (structured pruning, quantization, etc.)
- Visualization of network to the layer level to enable ratio adjustment in Compressor
- Hardware-aware model profiling
- Quantitative and qualitative model evaluation enabled
Updated over 2 years ago