Efficient & Powerful
Synaptics DBM10L Dual Core Edge AI SoC (DSP+NPU)
NEURAL
NETWORK
ARTIFICIAL INTELLIGENCE
ULTRA-LOW
POWER
MACHINE
LEARNING
Optimized for Voice &
Sensor Processing
The DBM10L enables artificial intelligence (AI) and machine learning (ML) based sensor data functions
VOICE
TRIGGER
VOICE AUTHENTICATION
ACOUSTIC ECHO CANCELLATION
SOUND EVENT DETECTION
VOICE COMMAND
NOISE REDUCTION
Extended Battery Life for High Performance Devices
Tablets / Handheld
Smart Home
Wearables
Remote Controls
Start Your Designs Today...
+ Toolchain + EVK
The Synaptics DBM10L is a dual-core SoC comprising a DSP and a neural processing unit (NPU). It is available today to designers and partners, complete with the entire toolchain, including our proprietary nNet Lite™ neural network (NN) processor, a dedicated hardware engine, designed to accelerate inference at ultra-low power consumption.
nNet Lite - Ultra-Low-Power Neural Network Inference Processor
Multi-Input / Sensor NNs
Able to process inputs and run inference on data from multiple sensors such as those for speech, sound, vibration, and temperature
Easy Porting / Easy to Use
Full support of all standard DNN frameworks, plus comprehensive, cross-platform toolchain for model migration and optimization
Efficient Model Size Optimization
Allows porting of large models, without loss of accuracy, utilizes 1~16 bit quantization, post-training model pruning, and lossless entropy compression algorithms
nNet Lite - Compatible With All Standard DNN Frameworks
