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© Turing Machines Inc.

Turing Pi 2
the ultimate selfhosted

32 GB of RAM

< 60W TDP

4 x CPU CM4 or Jetson

Sales are launching in July, 2022

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Reliable, scalable, cloud-native computer for the edge

Turing Pi is a compact ARM cluster that unites four compute modules on a Mini ITX motherboard. 24/7, fanless and quiet with power consumption under 60 W. Turing Pi architecture is fully compatible with Kubernetes. You can connect clusters to each other and quickly scale your infra.

4x CPU w/ 1 GbE each

Onboard L2 Managed Switch 1 GbE

VLAN Support

2x SATA III Ports 6 Gbps

2x Mini PCI Express Slots

Baseboard Management Controller

Use Cases

Self-hosted

Host open-source apps locally or at the edge

Learning

Learn Kubernetes, Docker, Serverless

Development

Build cloud-native local dev environment

Blockchain

Host Bitcoin Lightning or blockchain staking nodes

AS Easy as

Interact with a cluster using just a command-line interface. Turing Pi open-source firmware offers a set of remote management features for authentication, serial console over LAN, OS images flashing, self-testing, and OTA updates.

$ tpictl login
$ tpictl info

$ tpictl get nodes
$ tpictl flash –node 1 -f ./ubuntu.img
$ tpictl reboot –node 1
$ tpictl serial –node 1

$ tpictl drain –node 2
$ tpictl power –off –node 2

Compute module

General compute

Vendor

Model

CPU

Cores

RAM up to

Turing Pi

RK1

Rockchip RK3588

8

32

Raspberry Pi

CM4

Broadcom BCM2711

4

8

Machine learning

Vendor

Model

CPU

Cores

RAM up to

Nvidia

Jetson Nano

Quad-core ARM Cortex-A57 MPCore

4

4

Nvidia

Jetson TX2 NX

Dual-core NVIDIA Denver 2 Quad-core ARM A57 Complex

6

4

Nvidia

Jetson Xavier NX

NVIDIA Carmel ARM® v8.2

6

16

Press release: Turing Pi 2 Launch

Turing Pi clusters: from firmware to Terraform / Ansible / CLI

Use case: A user-friendly homelab for self-hosted apps.

Turing Pi V2 first review!

Raspberry Pi clusters

12 amazing Raspberry Pi cluster use cases

SPOTTED on

FAQ

The Turing Pi 2 will be available for pre-orders in July, 2022

You can run any combination of all supported compute modules.

You can start with a couple of nodes and scale when needed.

Yes

Stay tuned for updates

Use cases

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