1. What can I do with the board?
- Home server (homelab) and application hosting
- Develop and learn cloud-native technologies (Kubernetes, Docker Swarm, Serverless, Microservices) on bare metal
- Cloud-native apps testing environment
- Learn concepts of distributed Machine Learning apps
- Hosting and managing IoT apps
- Prototype and learn cluster applications, parallel computing, and distributed computing concepts on bare metal
- Host K8S, K3S, Minecraft, Plex, Owncloud, Nextcloud, Seafile, Minio, Tensorflow, …
2. Which Raspberry Pi models are compatible?
Turing Pi supports the following models with and without eMMC
3. Does the board support the new Rasberry pi 4?
There is no Compute Model for the Raspberry pi 4th generation yet
4. How to the compute modules communicate with each other?
The nodes interconnected with the onboard 1 Gbps switch. However, each node is limited with 100 Mbps USB speed. Also, there is an I2C bus to exchange some technical information between nodes, including Real-Time Clock (RTC).
5. From where the cluster board boots OS?
You can boot the OS either from eMMC, SD card or netboot
6. Does each node get its own IP address?
7. Can I flash compute modules through the board?
Yes, you can flash a compute module using a top/master node.
8. How do the Ethernet, USB, HDMI, and audio ports work? Is there a way to switch them between nodes?
There are 8 USB on the board. Each pair of USB connected to a particular node. 2x USB routed to the top/master node, 2x to the second node, 2x to the fourth node, 2x to the 6th node. HDMI and audio connected with a top/master node.
9. There are ATX and DC 12V power ports on the cluster board. Does this mean it can function from either an ATX power supply or 12V?