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lighthouse/book/src/installation.md
chonghe eab3672c6d Add attestation simulator, blobs info and some updates to Lighthouse Book (#5364)
* Apply suggestions from code review

* Revise attestation simulator doc

* Revise blobs.md

* Summary

* Add blobs

* Simulator docs

* Revise attestation simulator

* minor formatting

* Revise vm node

* Update faq

* Update faq

* Add link to v4.6.0

* Remove minification in the docs

* Update Goerli to Holesky

* Add a note on moved vm validator monitor

* Update Rpi 4 note

* Revise attestation simulator doc

* Add docs for attestation simulator

* update database table

* Update faq on resources used

* Fix and update table
2024-03-14 06:12:25 +00:00

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📦 Installation

Lighthouse runs on Linux, macOS, and Windows.

There are three core methods to obtain the Lighthouse application:

Additionally, there are two extra guides for specific uses:

There are also community-maintained installation methods:

Before The Merge, Lighthouse was able to run on its own with low to mid-range consumer hardware, but would perform best when provided with ample system resources.

After The Merge on 15th September 2022, it is necessary to run Lighthouse together with an execution client (Nethermind, Besu, Erigon, Geth). The following system requirements listed are therefore for running a Lighthouse beacon node combined with an execution client , and a validator client with a modest number of validator keys (less than 100):

  • CPU: Quad-core AMD Ryzen, Intel Broadwell, ARMv8 or newer
  • Memory: 32 GB RAM*
  • Storage: 2 TB solid state drive
  • Network: 100 Mb/s download, 20 Mb/s upload broadband connection

*Note: 16 GB RAM is becoming rather limited due to the increased resources required. 16 GB RAM would likely result in out of memory errors in the case of a spike in computing demand (e.g., caused by a bug) or during periods of non-finality of the beacon chain. Users with 16 GB RAM also have a limited choice when it comes to selecting an execution client, which does not help with the client diversity. We therefore recommend users to have at least 32 GB RAM for long term health of the node, while also giving users the flexibility to change client should the thought arise.

Last update: April 2023