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NDP100

Home / Products / Processors / Neural Decision Processors / NDP100
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

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

params: 589k1

DNN Core Clock

< 16MHz

DNN Core Features

4 Layer, Fully Connected

MCU Memory

M0, 112kB

MCU Clock

< 16MHz

DSP Memory

–

DSP Clock

–

DSP Features

–

Package [mm]

1,4mm x 1,8mm 12-ball WLBGA

Product status

Active

The Syntiant® Neural Decision Processor™ architecture is built from the ground up to run deep learning algorithms. With embedded Syntiant Core 1™, the NDP100 achieves breakthrough performance by highly coupled computation and memory, exploiting the vast inherent parallelism of deep learning and computing at only required numerical precision. The device combines these elements to achieve approximately 100x efficiency improvement over stored program architectures such as CPUs and DSPs.

  • 12 ball WLBGA package for extremely space constrained environments
  • Dual PDM microphone input or PCM-over-SPI input
  • Stereo/mono I2S interface multiplexed with PDM
  • Direct access to neural network over SPI for sensor applications
  • Frequency, time-domain & batch input models
  • 16-bit input holding tank with faster than realtime SPI extraction
  • General purpose ARM Cortex-M0 processor with 112KB SRAM
  • Integrated clock multiplier and dividers support low frequency clock source or external clocking
  • Optimized interrupt and SPI slave interface
  • Onboard firmware security and authentication
  • English Speech Service for keyword training
  • Software Development Kit (SDK)
  • Integrates in any software environment
  • Training Development Kit (TDK) to enable the user of standard frameworks such as TensorFlow for customer-programmed applications
  • Support for 64 output classifications
  • Active power consumption of <140 μW while recognizing words

The NDP100 supports dozens of application-defined audio sequences for a variety of use cases including:Keyword speech interface:
  • Wake word detection
  • Speaker identification
  • Sensor applications
  • Audio event and environment classification

NDP100

Home / Products / Processors / Neural Decision Processors / NDP100
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

params: 589k1

DNN Core Clock

< 16MHz

DNN Core Features

4 Layer, Fully Connected

MCU Memory

M0, 112kB

MCU Clock

< 16MHz

DSP Memory

–

DSP Clock

–

DSP Features

–

Package [mm]

1,4mm x 1,8mm 12-ball WLBGA

Product status

Active

Ask us about this product
Claim Free Samples

The Syntiant® Neural Decision Processor™ architecture is built from the ground up to run deep learning algorithms. With embedded Syntiant Core 1™, the NDP100 achieves breakthrough performance by highly coupled computation and memory, exploiting the vast inherent parallelism of deep learning and computing at only required numerical precision. The device combines these elements to achieve approximately 100x efficiency improvement over stored program architectures such as CPUs and DSPs.

  • 12 ball WLBGA package for extremely space constrained environments
  • Dual PDM microphone input or PCM-over-SPI input
  • Stereo/mono I2S interface multiplexed with PDM
  • Direct access to neural network over SPI for sensor applications
  • Frequency, time-domain & batch input models
  • 16-bit input holding tank with faster than realtime SPI extraction
  • General purpose ARM Cortex-M0 processor with 112KB SRAM
  • Integrated clock multiplier and dividers support low frequency clock source or external clocking
  • Optimized interrupt and SPI slave interface
  • Onboard firmware security and authentication
  • English Speech Service for keyword training
  • Software Development Kit (SDK)
  • Integrates in any software environment
  • Training Development Kit (TDK) to enable the user of standard frameworks such as TensorFlow for customer-programmed applications
  • Support for 64 output classifications
  • Active power consumption of <140 μW while recognizing words

The NDP100 supports dozens of application-defined audio sequences for a variety of use cases including:Keyword speech interface:
  • Wake word detection
  • Speaker identification
  • Sensor applications
  • Audio event and environment classification

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

params: 589k1

DNN Core Clock

< 16MHz

DNN Core Features

4 Layer, Fully Connected

MCU Memory

M0, 112kB

MCU Clock

< 16MHz

DSP Memory

–

DSP Clock

–

DSP Features

–

Package [mm]

1,4mm x 1,8mm 12-ball WLBGA

Product status

Active

NDP100

Home / Products / Processors / Neural Decision Processors / NDP100
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® Neural Decision Processor™ architecture is built from the ground up to run deep learning algorithms. With embedded Syntiant Core 1™, the NDP100 achieves breakthrough performance by highly coupled computation and memory, exploiting the vast inherent parallelism of deep learning and computing at only required numerical precision. The device combines these elements to achieve approximately 100x efficiency improvement over stored program architectures such as CPUs and DSPs.

  • 12 ball WLBGA package for extremely space constrained environments
  • Dual PDM microphone input or PCM-over-SPI input
  • Stereo/mono I2S interface multiplexed with PDM
  • Direct access to neural network over SPI for sensor applications
  • Frequency, time-domain & batch input models
  • 16-bit input holding tank with faster than realtime SPI extraction
  • General purpose ARM Cortex-M0 processor with 112KB SRAM
  • Integrated clock multiplier and dividers support low frequency clock source or external clocking
  • Optimized interrupt and SPI slave interface
  • Onboard firmware security and authentication
  • English Speech Service for keyword training
  • Software Development Kit (SDK)
  • Integrates in any software environment
  • Training Development Kit (TDK) to enable the user of standard frameworks such as TensorFlow for customer-programmed applications
  • Support for 64 output classifications
  • Active power consumption of <140 μW while recognizing words

The NDP100 supports dozens of application-defined audio sequences for a variety of use cases including:Keyword speech interface:
  • Wake word detection
  • Speaker identification
  • Sensor applications
  • Audio event and environment classification

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.

Headquarters
SAS SELTECH
2, Allée des Cerisiers
F – 94042 Créteil FRANCE

Tel EU : +33 1 48 92 90 02
Tel NA : +1 (919) 481 6896

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SELTECH is an international solution provider with deep expertise in acoustics and sensors. We offer innovative solutions to our customers’ challenges, from design to production.

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NDP100

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