Datasets | Model Garden | Platforms | Benchmarks |
Welcome to Diesimo Lab, your go-to for Open Edge Intelligence.
Find out practical resources and recipes to streamline your Edge AI development and experiments, from datasets, models, benchmarks tested on real-world platforms with industry standards in mind.
- Real-world custom-datasets: HF Collections (Coming Soon)
- Model Garden: Hugging Face Collections (Coming soon!)
- Demos: Hugging Face Spaces (Coming soon!)
In the meantime, find the best model suitable for your application requirements here: Edge AI Model Zoos.
| Device | Arduino Nano 33 BLE Sense |
|---|---|
| Processor | 1-Core @64MHz nRF52840, ARM Cortex-M4 32-bit (FPU) |
| Accelerator | None |
| Memory | 256KB RAM |
| Storage | 1MB Flash |
| Power Consumption | Ultra-low power (mW) |
| Connectivity | BLE, NFC |
| Camera/Display Support | None |
| Sensors | 9-axis IMU, temp, humidity, pressure, microphone, gesture, light |
| I/O Pins | 14 digital, 8 analog, 12 PWM |
| Dimensions | 45mm x 18mm |
| Use Case | TinyML, IoT, wearables |
Full specs: (Source)
| Device | Raspberry Pi |
|---|---|
| Processor | 4-Core @1.4GHz BCM2837B0, Cortex-A53 64-bit SoC |
| Accelerator | None |
| Memory | 1GB LPDDR2 SDRAM |
| Storage | SD card |
| Power Consumption | 4W (5V, 2.5A ≈ 12.5W, varies by load) |
| Connectivity | WiFi, BLE, Ethernet, USB |
| Camera/Display Support | 8MP (up to 3840 x 2160) |
| Sensors | None |
| I/O Pins | Extended 40-pin GPIO header |
| Dimensions | Not specified |
| Use Case | Lightweight IoT, smart home, education |
Full specs: (Source)
| Device | NVIDIA Jetson Nano |
|---|---|
| Processor | 4-Core ARM Cortex A57 MPCore |
| Accelerator | 128-core Maxwell GPU (472 GFLOPS) |
| Memory | 4GB 64-bit LPDDR4 RAM |
| Storage | MicroSD card (16GB UHS-1 minimum) |
| Power Consumption | 20W (5V, 4A ≈ 3870 mW) |
| Connectivity | None specified (Ethernet, USB supported) |
| Camera/Display Support | 8MP (up to 3840 x 2160), Full HD 1080p+ |
| Sensors | None |
| I/O Pins | Not specified |
| Dimensions | Not specified |
| Use Case | AI applications, neural networks, image processing |
Full specs: (Source)
For real-world data collection and testing.
(Lego sets) Robotics Platforms
Drone
A collection of Edge AI system benchmarks, including custom and industry standards benchmarks, like MLPerf built and tested on real-world platforms for practical performances.
Learn more here.