ADAM100

Introducing the AI-ADAM100!

Developed in collaboration with ABOV Semiconductor, the AI-ADAM100 multi-chip package combines a low power Cortex M0+ microcontroller with Femtosense’s SPU-001 coprocessor to create an affordable end-to-end solution for adding flexible voice control to any product

SPU-001

Tiny enough to fit into the smallest devices and efficient enough to last all day running powerful AI applications on-device in real time!

Inquiry

hand 3 line 2

wlcsp bare die new 2024

Co-Processor

1 MB of on-chip SRAM (10 MB effective with sparsity)
22nm process
Sub-mW for speech, audio, and 1-D data
SPI interface

Hardware IP

SoC Integration

512 kB of on-chip SRAM per core (5 MB effective with sparsity)
Sharable memory
22nm process | portable to any process node
Fractional or multi-core configurations
AXI interface

coredesign gif 2

4-core Configuration

AI-ADAM100

ai adam 100 2

SPU + MCU for on-device voice cleanup and flexible commands in a single affordable package

Specifications:

Multi-Chip Package (MCP) with SPU-001 NPU and Cortex-M0+ MCU

64/32 kB MCU code flash memory | 8 kB MCU SRAM

1 MB of NPU SRAM (10 MB effective with sparsity)

NPU: 22 nm process | MCU: 130 nm process

Sub-mW for speech, audio, and 1-D data

SPU-001 Evaluation

evb

Evaluation Board (EVB)

PCB Board with SPU-001 WLCSP for integrating with external host systems

Full access to SPU pins on PMOD header
16 Mb onboard SPI Flash
1.8-3.3V operation
Headers for easy power measurement

evk2

Evaluation Kit 2 (EVK2)

EVB + Tympan open source hearing aid platform and Tympan connector board

Host processor Cortex-M7 with FPU
2x onboard MEMS microphones
3.5mm audio jacks for input/output
Micro SD card reader

Software Development Kit

flow 20231

Our Software Development Kit (SDK) allows developers to get started with minimal barriers. The SDK provides advanced sparse optimization tools, a hardware simulator, and the Femtocrux compiler

Deploy models to the SPU with or without fine-tuning. Achieve high efficiency for dense models, and even higher efficiency for sparse models

Optimize

Optimize models with sparsity regularization and quantization aware training

Simulate

Simulate energy, latency, throughput, and footprint of your model on the SPU

Deploy

Use the Femtocrux compiler to deploy to the SPU for verification, testing, and production

Products

Introducing the AI-ADAM100!