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NDP120

NDP120

Home / Products / Processors / Neural Decision Processors / NDP120
Our family of Neural Decision Processors (NDPs) are specifically designed to run deep learning models, providing 100x the efficiency and 10/30x the throughput of existing low-power MCUs.
Ask us about this product
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Syntiant leads in edge-AI with custom silicon enabling deep learning on battery-powered devices. Their technology supports real-time data processing and decision-making with minimal power consumption, from hearing aids to automotive applications. Syntiant’s solutions empower developers to quickly deploy efficient deep learning models across a wide range of edge devices, revolutionizing applications in audio, video, and sensor processing.

Characteristics

Additional information

DNN Core Memory

pmem: 896kB, dmem: 128kB

DNN Core Clock

Same as DSP

DNN Core Features

All Networks, Fixed Point

MCU Memory

M0, 48kB

MCU Clock

Same as DSP

DSP Memory

imem: 96kB, dmem: 192kB

DSP Clock

0,9V: < 22MHz, 1,0V: < 60MHz, 1,1V: < 100MHz

DSP Features

HiFi3: Fixed-point

Package [mm]

3,1 mm x 2,5 mm 42-ball WLBGA & 5mm x 5mm 40-pin QFN

Product status

Active

The Syntiant® NDP120 Neural Decision Processor™ is a special purpose chip for audio and sensor processing for always-on applications in battery powered devices and other power constrained systems. The NDP120 applies neural processing to run multiple applications simultaneously with minimal power consumption. Built using the Syntiant Core 2™ programmable deep learning architecture, NDP120 is designed to natively run multiple Deep Neural Networks (DNN) on a variety of architectures, such as CNN, RNN and fully connected networks. NDP120 brings a level of ML performance that delivers 25x the tensor throughput compared to the Syntiant Core 1™ embedded in Syntiant’s NDP100 and NDP101 devices. A programmable HiFi 3 DSP is available for classical audio processing.

  • Hardware acceleration support for up to 6.4 GOPS/s
  • Neural network layers supported: fully-connected, 2D convolution, depth-wise convolution, recurrent neural network including LSTM and GRU, average and max pooling
  • Support for concurrent neural networks
  • Up to 896k neural parameters in 8-bit mode, 1.8M parameters in 4-bit mode, and more than 7M parameters in 1-bit mode
  • Quad PDM digital microphone interface
  • Dual I2S channels or TDM4 streaming interfaces
  • Support for up to 7 audio streams including I2S/ TDM output audio interface for streaming audio output, including post-processed audio
  • I2C controller and target modes for sensor
  • control and integration
  • QSPI target & controller interfaces
  • 26 GPIO pins
  • Programmable HiFi 3 DSP
  • Input holding-tank with up to 10 seconds of audio recording and faster-then-real-time extraction
  • Up to 100MHz internal operating frequency
  • Embedded Arm Cortex-M0 for device management with 48KB SRAM, dual timers and UART functionality
  • Low power PLL for flexible clock input
  • Onboard firmware decryption and authentication
  • Software Development Kit (SDK) integrates in any software environment
  • Training Development Kit (TDK) to enable the use of standard frameworks such as TensorFlow for customer-programmed applications
  • 3.1mm x 2.5mm 42-ball WLBGA package (0.4mm pitch)
  • 5mm x 5mm 40-pin QFN package (0.4mm pitch) also available as an AEC-Q100 Grade 3 qualified automotive SKU

The NDP120 supports dozens of application-defined audio sequences for a variety of use cases including:
  • Far-field, near-field and close-talk voice interface
  • Multiple wake words and local commands
  • Acoustic Echo Cancellation (AEC), noise suppression, beamforming
  • Speech enhancement
  • Speaker identification and verification
  • Acoustic event and scene classification
  • Multi-sensor fusion

Datasheet

NDP120

Home / Products / Processors / Neural Decision Processors / NDP120
NDP120
Our family of Neural Decision Processors (NDPs) are specifically designed to run deep learning models, providing 100x the efficiency and 10/30x the throughput of existing low-power MCUs.

Additional information

DNN Core Memory

pmem: 896kB, dmem: 128kB

DNN Core Clock

Same as DSP

DNN Core Features

All Networks, Fixed Point

MCU Memory

M0, 48kB

MCU Clock

Same as DSP

DSP Memory

imem: 96kB, dmem: 192kB

DSP Clock

0,9V: < 22MHz, 1,0V: < 60MHz, 1,1V: < 100MHz

DSP Features

HiFi3: Fixed-point

Package [mm]

3,1 mm x 2,5 mm 42-ball WLBGA & 5mm x 5mm 40-pin QFN

Product status

Active

Ask us about this product
Claim Free Samples

The Syntiant® NDP120 Neural Decision Processor™ is a special purpose chip for audio and sensor processing for always-on applications in battery powered devices and other power constrained systems. The NDP120 applies neural processing to run multiple applications simultaneously with minimal power consumption. Built using the Syntiant Core 2™ programmable deep learning architecture, NDP120 is designed to natively run multiple Deep Neural Networks (DNN) on a variety of architectures, such as CNN, RNN and fully connected networks. NDP120 brings a level of ML performance that delivers 25x the tensor throughput compared to the Syntiant Core 1™ embedded in Syntiant’s NDP100 and NDP101 devices. A programmable HiFi 3 DSP is available for classical audio processing.

  • Hardware acceleration support for up to 6.4 GOPS/s
  • Neural network layers supported: fully-connected, 2D convolution, depth-wise convolution, recurrent neural network including LSTM and GRU, average and max pooling
  • Support for concurrent neural networks
  • Up to 896k neural parameters in 8-bit mode, 1.8M parameters in 4-bit mode, and more than 7M parameters in 1-bit mode
  • Quad PDM digital microphone interface
  • Dual I2S channels or TDM4 streaming interfaces
  • Support for up to 7 audio streams including I2S/ TDM output audio interface for streaming audio output, including post-processed audio
  • I2C controller and target modes for sensor
  • control and integration
  • QSPI target & controller interfaces
  • 26 GPIO pins
  • Programmable HiFi 3 DSP
  • Input holding-tank with up to 10 seconds of audio recording and faster-then-real-time extraction
  • Up to 100MHz internal operating frequency
  • Embedded Arm Cortex-M0 for device management with 48KB SRAM, dual timers and UART functionality
  • Low power PLL for flexible clock input
  • Onboard firmware decryption and authentication
  • Software Development Kit (SDK) integrates in any software environment
  • Training Development Kit (TDK) to enable the use of standard frameworks such as TensorFlow for customer-programmed applications
  • 3.1mm x 2.5mm 42-ball WLBGA package (0.4mm pitch)
  • 5mm x 5mm 40-pin QFN package (0.4mm pitch) also available as an AEC-Q100 Grade 3 qualified automotive SKU

The NDP120 supports dozens of application-defined audio sequences for a variety of use cases including:
  • Far-field, near-field and close-talk voice interface
  • Multiple wake words and local commands
  • Acoustic Echo Cancellation (AEC), noise suppression, beamforming
  • Speech enhancement
  • Speaker identification and verification
  • Acoustic event and scene classification
  • Multi-sensor fusion

Datasheet
Syntiant leads in edge-AI with custom silicon enabling deep learning on battery-powered devices. Their technology supports real-time data processing and decision-making with minimal power consumption, from hearing aids to automotive applications. Syntiant’s solutions empower developers to quickly deploy efficient deep learning models across a wide range of edge devices, revolutionizing applications in audio, video, and sensor processing.
NDP120

Characteristics

Additional information

DNN Core Memory

pmem: 896kB, dmem: 128kB

DNN Core Clock

Same as DSP

DNN Core Features

All Networks, Fixed Point

MCU Memory

M0, 48kB

MCU Clock

Same as DSP

DSP Memory

imem: 96kB, dmem: 192kB

DSP Clock

0,9V: < 22MHz, 1,0V: < 60MHz, 1,1V: < 100MHz

DSP Features

HiFi3: Fixed-point

Package [mm]

3,1 mm x 2,5 mm 42-ball WLBGA & 5mm x 5mm 40-pin QFN

Product status

Active

NDP120

Home / Products / Processors / Neural Decision Processors / NDP120
Our family of Neural Decision Processors (NDPs) are specifically designed to run deep learning models, providing 100x the efficiency and 10/30x the throughput of existing low-power MCUs.
Ask us about this product
Claim Free Samples

The Syntiant® NDP120 Neural Decision Processor™ is a special purpose chip for audio and sensor processing for always-on applications in battery powered devices and other power constrained systems. The NDP120 applies neural processing to run multiple applications simultaneously with minimal power consumption. Built using the Syntiant Core 2™ programmable deep learning architecture, NDP120 is designed to natively run multiple Deep Neural Networks (DNN) on a variety of architectures, such as CNN, RNN and fully connected networks. NDP120 brings a level of ML performance that delivers 25x the tensor throughput compared to the Syntiant Core 1™ embedded in Syntiant’s NDP100 and NDP101 devices. A programmable HiFi 3 DSP is available for classical audio processing.

  • Hardware acceleration support for up to 6.4 GOPS/s
  • Neural network layers supported: fully-connected, 2D convolution, depth-wise convolution, recurrent neural network including LSTM and GRU, average and max pooling
  • Support for concurrent neural networks
  • Up to 896k neural parameters in 8-bit mode, 1.8M parameters in 4-bit mode, and more than 7M parameters in 1-bit mode
  • Quad PDM digital microphone interface
  • Dual I2S channels or TDM4 streaming interfaces
  • Support for up to 7 audio streams including I2S/ TDM output audio interface for streaming audio output, including post-processed audio
  • I2C controller and target modes for sensor
  • control and integration
  • QSPI target & controller interfaces
  • 26 GPIO pins
  • Programmable HiFi 3 DSP
  • Input holding-tank with up to 10 seconds of audio recording and faster-then-real-time extraction
  • Up to 100MHz internal operating frequency
  • Embedded Arm Cortex-M0 for device management with 48KB SRAM, dual timers and UART functionality
  • Low power PLL for flexible clock input
  • Onboard firmware decryption and authentication
  • Software Development Kit (SDK) integrates in any software environment
  • Training Development Kit (TDK) to enable the use of standard frameworks such as TensorFlow for customer-programmed applications
  • 3.1mm x 2.5mm 42-ball WLBGA package (0.4mm pitch)
  • 5mm x 5mm 40-pin QFN package (0.4mm pitch) also available as an AEC-Q100 Grade 3 qualified automotive SKU

The NDP120 supports dozens of application-defined audio sequences for a variety of use cases including:
  • Far-field, near-field and close-talk voice interface
  • Multiple wake words and local commands
  • Acoustic Echo Cancellation (AEC), noise suppression, beamforming
  • Speech enhancement
  • Speaker identification and verification
  • Acoustic event and scene classification
  • Multi-sensor fusion

Datasheet
Syntiant leads in edge-AI with custom silicon enabling deep learning on battery-powered devices. Their technology supports real-time data processing and decision-making with minimal power consumption, from hearing aids to automotive applications. Syntiant’s solutions empower developers to quickly deploy efficient deep learning models across a wide range of edge devices, revolutionizing applications in audio, video, and sensor processing.

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NDP120

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