Protocol Labs Standard Testing Configuration

This documentation page describes the standard testing configuration the Protocol Labs team has used to test Lotus Miners on Lotus. There is no guarantee this testing configuration will be suitable for Filecoin storage mining at MainNet launch. If you need to buy new hardware to join the Filecoin Testnet, we recommend to buy no more hardware than you require for testing. To learn more please read this Protocol Labs Standard Testing Configuration post.

Sector sizes and minimum pledged storage required to mine blocks are two very important Filecoin Testnet parameters that impact hardware decisions. We will continue to refine all parameters during Testnet.

BECAUSE OF THIS, OUR STANDARD TESTING CONFIGURATION FOR FILECOIN MAINNET CAN AND WILL CHANGE. YOU HAVE BEEN WARNED.

Example configuration

The setup below is a minimal example for sealing 32 GiB sectors on Lotus:

2 TB of hard drive space.
8 core CPU
128 GiB of RAM

Note that 1GB sectors don't require as high of specs, but are likely to be removed as we improve the performance of 32GB sector sealing.

For the first part of the sealing process, AMD CPU's are highly recommended, because of the Intel SHA Extensions instruction set that is available there ever since the Zen microarchitecture. Hence, AMD CPU's seem to perform much better on the testnet than other CPU's. Contrary to what the name implies, this extended instruction set is not available on recent Intel desktop/server chips.

Testnet discoveries

If you only have 128GiB of ram, enabling 256GB of NVMe swap on an SSD will help you avoid out-of-memory issues while mining.

Benchmarked GPUs

GPUs are a must for getting block rewards. Here are a few that have been confirmed to generate SNARKs quickly enough to successfully mine blocks on the Lotus Testnet.

GeForce RTX 2080 Ti
GeForce RTX 2080 SUPER
GeForce RTX 2080
GeForce GTX 1080 Ti
GeForce GTX 1080
GeForce GTX 1060

Testing other GPUs

If you want to test a GPU that is not explicitly supported, use the following global environment variable:

BELLMAN_CUSTOM_GPU="<NAME>:<NUMBER_OF_CORES>"

Here is an example of trying a GeForce GTX 1660 Ti with 1536 cores.

BELLMAN_CUSTOM_GPU="GeForce GTX 1660 Ti:1536"

To get the number of cores for your GPU, you will need to check your card’s specifications.

Benchmarking

Here is a benchmarking tool and a GitHub issue thread for those who wish to experiment with and contribute hardware setups for the Filecoin Testnet.

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