Top 10 Machine Learning Python Tensorflow – Mini Computers

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NVIDIA Jetson Nano 2GB Developer Kit 945-13541-0000-000

NVIDIA #ad - These start with an introductory “hello ai world, how-tos, ” continue to robotics projects such as the open-source NVIDIA JetBot AI robot platform, and lead to the next level of robotics development with NVIDIA Isaac. This means educators, powerful, students, and other enthusiasts can now easily create projects with fast and efficient AI using the entire GPU-accelerated NVIDIA software stack.

Unlike online-only learning, you’ll see your work on the developer kit perceive and interact with the world around you in real time. All these resources are enabled by nvidia jetpack, which brings to each Jetson developer the same CUDA-X software and tools used by professionals around the world. There’s no better way to start. Learning by doing is key for anyone new to ai and robotics, and the Jetson Nano 2GB Developer Kit is ideal for hands-on teaching and learning.

It makes the world of ai and robotics accessible to everyone with the exact same software and tools used to create breakthrough AI products across all industries. Discover the power of ai and robotics with nvidia jetson nano 2gb developer kit. The jetson nano 2gb developer kit delivers incredible ai performance at a low price. It’s small, and priced for everyone. Jetpack includes a familiar Linux environment and simplifies the development process with support for cloud-native technologies such as containerization and orchestration.
BrandNVIDIA #ad
ManufacturerNVIDIA #ad
Part Number945-13541-0000-000
Warranty1-Year Warranty

2. Apple


2020 Apple Mac Mini with Apple M1 Chip 8GB RAM, 256GB SSD Storage

Apple #ad - 8gb of unified memory so everything you do is fast and fluid. Apple-designed m1 chip for a giant leap in CPU, GPU, and machine learning performance. 8-core gpu with up to 6x faster graphics for graphics-intensive apps and games*. 16-core neural Engine for advanced machine learning. 8-core cpu packs up to 3x faster performance to fly through workflows quicker than ever*.
BrandApple #ad
ManufacturerApple Computer #ad
Height1.42 Inches
Length7.76 Inches
Weight4.05 Pounds
Width7.76 Inches
Part NumberMGNR3LL/A
WarrantyApple One (1) Year Limited Warranty



NVIDIA Jetson Xavier NX Developer Kit 812674024318

NVIDIA #ad - The developer kit is supported by the entire nvidia software stack, smart city, retail, including accelerated SDKs and the latest NVIDIA tools for application development and optimization. Pre-trained ai models from nvidia ngc, provide a faster path to inference with optimized AI networks, together with the NVIDIA Transfer Learning Toolkit, while containerized deployment to Jetson devices allows flexible and seamless updates.

When combined with jetson xavier nx, service, agriculture, this powerful stack helps you create innovative solutions for manufacturing, logistics, healthcare and life sciences, and more. Developers can now take advantage of cloud-native support to transform the experience of developing and deploying AI software to edge devices. The capability to develop and test power-efficient, multi-modal AI inference opens the door for new breakthrough products. Ease of development and speed of deployment—together with a unique combination of form-factor, performance, and power advantage—make Jetson Xavier NX the most flexible and scalable platform to get to market fast and continuously update over the lifetime of a product.

The nvidia jetson xavier nx developer kit includes a power-efficient, compact jetson xavier nx module for ai edge devices. It benefits from new cloud-native support and accelerates the NVIDIA software stack in as little as 10 W with more than 10X the performance of its widely adopted predecessor, small form-factor solutions with accurate, Jetson TX2.
BrandNVIDIA #ad
ManufacturerNVIDIA Corporation #ad
Weight0.88 Pounds
Part Number945-83518-0000-000
Warranty1 year manufacturer



NVIDIA Jetson Nano Developer Kit 945-13450-0000-100

NVIDIA #ad - The nvidia jetson nano developer kit delivers the compute performance to run modern AI workloads at unprecedented size, segmentation, object detection, learners, power, and cost. The developer kit can be powered by micro-usb and comes with extensive i/os, ranging from GPIO to CSI.

Developers, and makers can now run AI frameworks and models for applications like image classification, and speech processing. Jetson nano is also supported by nvidia jetpack, which includes a board support package BSP, cudnn, multimedia processing, computer vision, and much more. The software is even available using an easy-to-flash sd card image, GPU computing, and TensorRT software libraries for deep learning, Linux OS, NVIDIA CUDA, making it fast and easy to get started.

The same jetpack sdk is used across the entire nvidia jetson family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. And it is incredibly power-efficient, consuming as little as 5 watts. This proven software stack reduces complexity and overall effort for developers. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications.
BrandNVIDIA #ad
ManufacturerNVIDIA Corporation #ad
Height1.77 Inches
Length2.72 Inches
Weight0.53 Pounds
Width1.77 Inches
Part Number945-13450-0000-100
Warranty1 year manufacturer

5. Google


Coral Dev Board

Google #ad - Supports tensorflow lite: no need to build models from the ground up. The som can be removed from the baseboard, ordered in Bulk, and integrated into your hardware. For example, in a power efficient manner. Ml accelerator: Google edge TPU Coprocessor.

Provides a complete system: a single-board computer with SoC + ML + wireless connectivity, all on the board running a derivative of Debian Linux We call Mendel, so you can run your favorite Linux tools with this board. A development board to quickly prototype on-device ML products. Scale from prototype to production: considers your manufacturing needs. Performs high-speed ml inferencing: the on-board edge tpu coprocessor is capable of performing 4 trillion operations tera-operations per second tops, it can execute state-of-the-art mobile vision models such as mobilenet V2 AT 400 FPS, using 05 watts for each tops 2 tops per watt.

Ram: 1 gb lpddr4. Gpu: integrated C Lite Graphics. Supports automl vision edge: easily build and deploy Fast, high-accuracy custom image Classification models to your device with automl vision edge. Tensorflow lite models can be compiled to run on the edge TPE. Scale from prototype to production with a removable system-on-module som. Cpu: nxp i.
BrandGoogle #ad
ManufacturerGoogle #ad
Part NumberG950-01455-01

6. SparkFun


SparkFun RedBoard Artemis Machine Learning Development Board Includes BLE One megabyte of Flash USB-C connector Qwiic I2C MEMS microphone Compatible with Arduino IDE Run TenserFlow models R3 footprint

SparkFun #ad - The artemis module has the fcc/ic/ce certification 8/16/2019 id number 2ASW8-ART3MIS on the world’s first open-source, US manufactured, BLE module. 1m flash / 384k ram gives you plenty of room for your sketches. Built in technology compatible with Bluetooth low energy 4. 0 radio. Exposed jtag connector for more advanced users to use the power and speed of professional tools. 48mhz / 96mhz turbo available. Features 10 adc channels with 14-bit precision, 4 SPI buses, 6 I2C buses, 2 UARTs, PDM Interface.21 pwm channels. Includes 24 gpio pins - all interrupt capable.
BrandSparkFun #ad
ManufacturerSparkFun Electronics #ad
Height0.55 Inches
Length2.4 Inches
Weight0.05 Pounds
Width2.87 Inches
Part NumberDEV-15444

7. SparkFun


SparkFun RedBoard Artemis Nano Machine Learning Development Board Includes BLE 1 megabyte of Flash USB-C Qwiic I2C MEMS Microphone Compatible with Arduino IDE TenserFlow Models Small Footprint

SparkFun #ad - Fully compatible with the sparkFun's compatible with Arduino core and can be programmed easily under the Arduino IDE platform. The artemis module runs at 48mhz with a 96mhz turbo mode available and compatible with Bluetooth to boot. A light weight, 08mm thick pcb, with on board LiPo-battery charging and a Qwiic connector. Fcc/ic/ce certified 8/16/2019 id number 2ASW8-ART3MIS. Dual row of ground connections make it easy to add lots of buttons, LEDs, and anything that requires its own GND connection. With 1mb flash and 384k rAM you'll have plenty of room for your sketches.
BrandSparkFun #ad
ManufacturerSparkFun Electronics #ad
Height0.28 Inches
Length0.91 Inches
Weight0.05 Pounds
Width1.97 Inches
Part NumberDEV-15443

8. Google


Google Coral Dev Board Mini

Google #ad - Provides a complete system: a single-board computer with SoC + ML + wireless connectivity, all on the board running a derivative of Debian Linux we call Mendel, so you can run your favorite Linux tools with this board.

Supports automl vision edge: easily build and deploy fast, high-accuracy custom image classification models to your device. Mediatek 8167s soc quad-core Arm Cortex-A35. 2 gb lpddr3 and 8 gb eMMC memory. Supports tensorflow lite: no need to build models from the ground up. The coral dev board mini is a single-board computer that enables you to quickly prototype and deploy an embedded system with on-device ML inferencing.

Tensorflow lite models can be compiled to run on the Edge TPU. It's capable of performing 4 trillion operations tera-operations per second tops, using 05 watts for each tops 2 tops per watt. The board includes the edge tpu coprocessor, which is a small asic designed by Google that accelerates TensorFlow Lite models in a power efficient manner.
BrandGoogle #ad
ManufacturerGoogle LLC #ad
Part NumberG650-03324-01

9. Sipeed


Sipeed Maixduino MCU with ESP32 Module on Board for RISC-V AI + IoT

Sipeed #ad - Support maixpy ide, arduino ide, and platformio ide; Support tiny-Yolo, OpenMV IDE, Mobilenet and TensorFlow Lite for deep learning. B/g/n and Bluetooth 4.

2. Wireless connectivity: onboard esp32 module support 2. 4g 802. 11. Application: attendance and access control, automatic driving, smart robots, passenger flow statistics, Internet of Things, smart home, robotics, anomaly detection, predictive maintenance, smart wear, machine vision, voice recognition. High performance and low power: maixduino is based on the intelligent computing chip K210 RISC-V Dual Core 64bit, with FPU,400Mhz, Neural network processor for AloT edge computing solution. Easy to use: just connect the usb type-c cable to complete the download.
BrandSipeed #ad
ManufacturerSipeed #ad
Part NumberMaixduino

10. Yahboom


Yahboom Professional Raspberry Pi AI Robot Kit with Camera Programming Electronic DIY Tank Robotics Kit for Teens and Adults Compatible Pi 4B Model 3B+ 3BRaspberry Pi NOT Include

Yahboom #ad - The tank is equipped with 2dof camera pTZ, which can realize real-time transmission of HD video through the 5G wifi hotspot on Raspberry Pi. Upgrade ai functionthe upgraded v3. 0 tank kit is compatible with the latest version of raspberry pi 4b 2g/4g/8g. Raspberry Pi NOT included.

With 4b, video transmission is smoother and more stable. Real-time transmission of 5g hd videorobot tank is professional diy toy, suitable for electronic amateurs and teens over 16 years old. If you are inexperienced, using python/c++ as the main programming language and Open Source CV as the image processing library, you can find "G1 tank initial tutorial video" at the bottom of the product page. Wechat program can also control the robot. Very important: when you decide to buy this robot, TF card * 1.

These new aI features make the tank more interesting. Maximum angle of climbing is 60° on frictional surface. Top robot platformthis tank kit is composed of aluminum alloy solid chassis, heat sink, you can't run the robot normally. Raspberry pi and Uno R3 tutorials could be provided by Yahboom. Raspberry pi 4b or 3b + * 1, metal couplings, please prepare the following accessories by yourself. You can download the "yahboom Robot" APP Android and iOS to control the tank.
BrandYahboom #ad
ManufacturerYahboom #ad
Weight3.31 Pounds
Part Number6000200033
WarrantyWarranty 3 months