
Turing RK1 Compute Module
Expert rating7.5 / 10
- SoC:
- Rockchip RK3588
- CPU:
- Octa-core (4x Cortex-A76 + 4x Cortex-A55)
- RAM:
- Up to 32GB LPDDR4x
- Form Factor:
- Turing Pi 2 compute module
- Price:
- From $110
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Manufacturer: Turing Machines Last updated: September 11, 2026
Turing RK1 Compute Module Review
The Turing RK1 is a compute module built specifically to slot into the Turing Pi 2 cluster board already on this site, giving buyers of that board an RK3588-class compute option alongside Raspberry Pi CM4 and NVIDIA Jetson modules.
Rather than a general-purpose board, the Turing RK1 is designed from the ground up to populate one of the Turing Pi 2's four compute module slots, letting buyers mix and match RK1, CM4, and Jetson modules in a single cluster.
Purpose-Built for the Turing Pi 2
Rather than a general-purpose board, the Turing RK1 is designed from the ground up to populate one of the Turing Pi 2's four compute module slots, letting buyers mix and match RK1, CM4, and Jetson modules in a single cluster.
RK3588 Performance in Cluster Form
The same class of Rockchip RK3588 silicon used in several standalone boards already on this site (including the Banana Pi BPI-M7 and Khadas Edge2) here takes the form of a swappable cluster node, aimed at homelab Kubernetes and distributed-computing experimentation.
Comparison to Alternatives
Against the Turing Pi 2 already on this site, the RK1 is the compute module that populates it rather than the cluster board itself — the two are typically purchased together. Against the Radxa CM5 already on this site, the Turing RK1 targets cluster-board deployment specifically, while the CM5 targets Pi CM4-compatible embedded product carrier boards.
Our verdict
Reviewed by Burooj Alam. Rated by us, not by users.
Expert rating7.5 / 10
RK3588-class compute in a swappable cluster node, useful only with a Turing Pi 2 carrier.
Best for
- Turing Pi 2 owners who want RK3588-class compute nodes for homelab cluster experiments.
Not for
- Anyone without a Turing Pi 2 (or compatible) carrier board to plug it into.
Specifications
What these specs meanIdentity
| Brand | Turing Machines |
|---|
| Price | 110 USD |
|---|
Measured results
Board measurements
| Memory copy bandwidth (tinymembench memcpy) | 12,579.7 MB/s | Board as reviewed · Turing RK1 (review 38) · Source |
| Idle power | 2.85 W | Board as reviewed · Turing RK1 (review 38) · Source |
| Power under full CPU load (stress-ng) | 15 W | Board as reviewed · Turing RK1 (review 38) · Source |
Measured by the author on one board. Power is measured at the wall for the whole board. Memory bandwidth is the tinymembench memcpy result.
Retrieved 23 Sept 2026
Jeff Geerling, sbc-reviews (github.com/geerlingguy/sbc-reviews, web/data/results.yml). Copyright (c) 2023 Jeff Geerling. Used under the MIT License; full permission notice: github.com/geerlingguy/sbc-reviews/blob/master/LICENSE
FAQs
What are the key specifications of the Turing RK1 Compute Module (Compute Module/Rockchip RK3588/Octa-Core/Up to 32GB/Turing Pi 2 Cluster Node)?
The Turing RK1 Compute Module (Compute Module/Rockchip RK3588/Octa-Core/Up to 32GB/Turing Pi 2 Cluster Node) is a single board computer from Turing Machines. Key specs: SoC Rockchip RK3588, CPU Octa-core (4x Cortex-A76 + 4x Cortex-A55), RAM Up to 32GB LPDDR4x, Price From $110.
Will the Turing RK1 Compute Module (Compute Module/Rockchip RK3588/Octa-Core/Up to 32GB/Turing Pi 2 Cluster Node) work with my current setup?
The Turing RK1 Compute Module (Compute Module/Rockchip RK3588/Octa-Core/Up to 32GB/Turing Pi 2 Cluster Node) lists SoC is Rockchip RK3588. Check that against the hardware you already own before buying, since this is the field that most often decides whether a part fits.
Who is the Turing RK1 Compute Module (Compute Module/Rockchip RK3588/Octa-Core/Up to 32GB/Turing Pi 2 Cluster Node) best suited to?
Best suited to: Turing Pi 2 owners who want RK3588-class compute nodes for homelab cluster experiments.
What are the drawbacks of the Turing RK1 Compute Module (Compute Module/Rockchip RK3588/Octa-Core/Up to 32GB/Turing Pi 2 Cluster Node)?
Not the best fit for: Anyone without a Turing Pi 2 (or compatible) carrier board to plug it into.
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