You are going to burn those out so fast
Ram disk for plotting is da wae
1 Like
I’m not worried about that, got 15tb plotted and only used up 1% so I should be fine with my plotting targets
2 Likes
7.324 EiB …thats the current amount of space used by chia mining…
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That is ridiculous. And a waste of a shitload of space.
5 Likes
I think I may look into folding… I dont know much about it, but doesn’t it help science experiments vs create fake money?
3 Likes
Yep, there’s a even a L1T folding team
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those fake money are going to be the real money for your grand children and they will look at our fake paper money just like we look at exchanging cow for a pig.
Using your compute power to help science is one thing. Mining/farming is not for “helping” anything other than your own/your children/and grand children’s profit.
Apples and oranges here.
Crypto farming/mining = your own benefit
Folding = philanthropy
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your children who won’t have clean air to breath or food to eat because of your environmental destructivism?
Yup, those ones. I’m using led light bulbs so I’m ok. I blame co² crisis on boomers
Remember guys this is a thread for showing off your chia rigs
If you want to discuss other things like the morality or ecological impact please make a dedicated thread for it
5 Likes
I finally got 1!! Now I just have to sit back and wait for that sweet chia!
3 Likes
Just for clarification- I’m just testing this out on hardware that I already have. No new hardware was harmed to make this plot.
So far, I’m testing to see impact from parameters, etc., but it’s very unscientific since I’m running different tests in parallel-ish.
2 Likes
I’m Jealous! I’m at 130 plots, been at it since before I started this thread, still no XCH 
Ok so to show off my rig:
- 1000W Corsair HX1000 Platinum
- Noctua NH-U12S TR4-SP3 AMD TR (single fan)
- be quiet Dark Base PRO900 Org rev2 Case ( I hate this case )
- 2x Hynix 64GB DDR4 3200 LRDIMM
- Threadripper PRO 3995WX
- ASUS PRO WS WRX80E-SAGE SE WIFI ( I love this motherboard )
- 8 X Sabrent 2TB Rocket NVMe PCIe M.2 2280
- 3 installed on motherboard directly, 4 installed in ASUS Hyper M.2 x16 Gen 4, 1 installed in ICY BOX IB-PCI214M2-HSL)
- 2x Yottamaster 5 Bay
- 10x 16TB Seagate ST16000NM001G Exos X16
RAM top-up ordered and on its way:
- 4x MTA36ASF8G72PZ-3G2E1
So far plotted:
Plot count: 228
Total size of plots: 24.098 TiB
Plotting around 32 plots a day using swar.
OS: Proxmox
What kinds of parameters are you using for threads/memory/buckets?
Well I am experimenting with it as I should get at least 42 plots a day with this so this is my latest try to see if it makes it better or worse. I have all nvme formatted as XFS with CRC disabled and mounted with xfs noatime,nodiratime,discard,defaults 0 0
chia_location: /home/chia/chia-blockchain/venv/bin/chia
manager:
check_interval: 60
log_level: ERROR
log:
folder_path: /var/log/chia
view:
check_interval: 60
datetime_format: "%Y-%m-%d %H:%M:%S"
include_seconds_for_phase: false
include_drive_info: false
include_cpu: true
include_ram: true
include_plot_stats: true
notifications:
notify_discord: false
discord_webhook_url: https://discord.com/api/webhooks/0000000000000000/XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
notify_sound: false
song: audio.mp3
notify_pushover: false
pushover_user_key: xx
pushover_api_key: xx
notify_twilio: false
twilio_account_sid: xxxxx
twilio_auth_token: xxxxx
twilio_from_phone: +1234657890
twilio_to_phone: +1234657890
instrumentation:
prometheus_enabled: false
prometheus_port: 9090
progress:
phase1_line_end: 802
phase2_line_end: 835
phase3_line_end: 2475
phase4_line_end: 2621
phase1_weight: 27.64
phase2_weight: 26.15
phase3_weight: 43.21
phase4_weight: 3.0
global:
max_concurrent: 48
max_for_phase_1 : 16
minimum_minutes_between_jobs: 0
jobs:
- name: nvme001
max_plots: 999
farmer_public_key: <>
pool_public_key: <>
temporary_directory: /mnt/datanvme/001
temporary2_directory:
destination_directory: /mnt/chia_tmp_dest
size: 32
bitfield: true
threads: 16
buckets: 128
memory_buffer: 3390
max_concurrent: 2
max_concurrent_with_start_early: 6
initial_delay_minutes: 0
stagger_minutes: 65
max_for_phase_1: 2
concurrency_start_early_phase: 4
concurrency_start_early_phase_delay: 0
temporary2_destination_sync: false
exclude_final_directory: false
skip_full_destinations: true
unix_process_priority: 10
windows_process_priority: 32
enable_cpu_affinity: true
cpu_affinity: [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ]
- name: nvme002
max_plots: 999
farmer_public_key: <>
pool_public_key: <>
temporary_directory: /mnt/datanvme/002
temporary2_directory:
destination_directory: /mnt/chia_tmp_dest
size: 32
bitfield: true
threads: 16
buckets: 128
memory_buffer: 3390
max_concurrent: 2
max_concurrent_with_start_early: 6
initial_delay_minutes: 0
stagger_minutes: 65
max_for_phase_1: 2
concurrency_start_early_phase: 4
concurrency_start_early_phase_delay: 0
temporary2_destination_sync: false
exclude_final_directory: false
skip_full_destinations: true
unix_process_priority: 10
windows_process_priority: 32
enable_cpu_affinity: true
cpu_affinity: [ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31 ]
- name: nvme003
max_plots: 999
farmer_public_key: <>
pool_public_key: <>
temporary_directory: /mnt/datanvme/003
temporary2_directory:
destination_directory: /mnt/chia_tmp_dest
size: 32
bitfield: true
threads: 16
buckets: 128
memory_buffer: 3390
max_concurrent: 2
max_concurrent_with_start_early: 6
initial_delay_minutes: 0
stagger_minutes: 65
max_for_phase_1: 2
concurrency_start_early_phase: 4
concurrency_start_early_phase_delay: 0
temporary2_destination_sync: false
exclude_final_directory: false
skip_full_destinations: true
unix_process_priority: 10
windows_process_priority: 32
enable_cpu_affinity: true
cpu_affinity: [ 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47 ]
- name: nvme004
max_plots: 999
farmer_public_key: <>
pool_public_key: <>
temporary_directory: /mnt/datanvme/004
temporary2_directory:
destination_directory: /mnt/chia_tmp_dest
size: 32
bitfield: true
threads: 16
buckets: 128
memory_buffer: 3390
max_concurrent: 2
max_concurrent_with_start_early: 6
initial_delay_minutes: 0
stagger_minutes: 65
max_for_phase_1: 2
concurrency_start_early_phase: 4
concurrency_start_early_phase_delay: 0
temporary2_destination_sync: false
exclude_final_directory: false
skip_full_destinations: true
unix_process_priority: 10
windows_process_priority: 32
enable_cpu_affinity: true
cpu_affinity: [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ]
- name: nvme005
max_plots: 999
farmer_public_key: <>
pool_public_key: <>
temporary_directory: /mnt/datanvme/005
temporary2_directory:
destination_directory: /mnt/chia_tmp_dest
size: 32
bitfield: true
threads: 16
buckets: 128
memory_buffer: 3390
max_concurrent: 2
max_concurrent_with_start_early: 6
initial_delay_minutes: 0
stagger_minutes: 65
max_for_phase_1: 2
concurrency_start_early_phase: 4
concurrency_start_early_phase_delay: 0
temporary2_destination_sync: false
exclude_final_directory: false
skip_full_destinations: true
unix_process_priority: 10
windows_process_priority: 32
enable_cpu_affinity: true
cpu_affinity: [ 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79 ]
- name: nvme006
max_plots: 999
farmer_public_key: <>
pool_public_key: <>
temporary_directory: /mnt/datanvme/006
temporary2_directory:
destination_directory: /mnt/chia_tmp_dest
size: 32
bitfield: true
threads: 16
buckets: 128
memory_buffer: 3390
max_concurrent: 2
max_concurrent_with_start_early: 6
initial_delay_minutes: 0
stagger_minutes: 65
max_for_phase_1: 2
concurrency_start_early_phase: 4
concurrency_start_early_phase_delay: 0
temporary2_destination_sync: false
exclude_final_directory: false
skip_full_destinations: true
unix_process_priority: 10
windows_process_priority: 32
enable_cpu_affinity: true
cpu_affinity: [ 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95 ]
- name: nvme007
max_plots: 999
farmer_public_key: <>
pool_public_key: <>
temporary_directory: /mnt/datanvme/007
temporary2_directory:
destination_directory: /mnt/chia_tmp_dest
size: 32
bitfield: true
threads: 16
buckets: 128
memory_buffer: 3390
max_concurrent: 2
max_concurrent_with_start_early: 6
initial_delay_minutes: 0
stagger_minutes: 65
max_for_phase_1: 2
concurrency_start_early_phase: 4
concurrency_start_early_phase_delay: 0
temporary2_destination_sync: false
exclude_final_directory: false
skip_full_destinations: true
unix_process_priority: 10
windows_process_priority: 32
enable_cpu_affinity: true
cpu_affinity: [ 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111 ]
- name: nvme008
max_plots: 999
farmer_public_key: <>
pool_public_key: <>
temporary_directory: /mnt/datanvme/008
temporary2_directory:
destination_directory: /mnt/chia_tmp_dest
size: 32
bitfield: true
threads: 16
buckets: 128
memory_buffer: 3390
max_concurrent: 2
max_concurrent_with_start_early: 6
initial_delay_minutes: 0
stagger_minutes: 65
max_for_phase_1: 2
concurrency_start_early_phase: 4
concurrency_start_early_phase_delay: 0
temporary2_destination_sync: false
exclude_final_directory: false
skip_full_destinations: true
unix_process_priority: 10
windows_process_priority: 32
enable_cpu_affinity: true
cpu_affinity: [ 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127 ]
In previous run I got only 28 so I am testing it with less parallel processes as it was taking 24h to complete the plot with all phases while running a lot of them in parallel. This is what I have so far for setup above:
=========================================================================================================================
num job k plot_id pid start elapsed_time phase phase_times progress temp_size
=========================================================================================================================
1 nvme002 32 c71d717 66236 2021-05-23 18:08:39 03:39:11 2 02:04 47.45% 195 GiB
2 nvme003 32 1893a06 66915 2021-05-23 18:11:46 03:36:04 2 02:09 43.49% 212 GiB
3 nvme004 32 96bc708 66916 2021-05-23 18:11:46 03:36:04 2 02:10 43.49% 212 GiB
4 nvme005 32 aae1409 66917 2021-05-23 18:11:46 03:36:04 2 02:02 45.07% 195 GiB
5 nvme006 32 7f4544d 66918 2021-05-23 18:11:46 03:36:04 2 02:07 45.07% 195 GiB
6 nvme007 32 c7f5e91 66919 2021-05-23 18:11:46 03:36:04 2 02:04 45.07% 195 GiB
7 nvme008 32 fddc525 66920 2021-05-23 18:11:46 03:36:04 2 02:07 45.07% 195 GiB
8 nvme001 32 33915f5 78328 2021-05-23 19:07:50 02:40:00 2 02:33 33.19% 158 GiB
9 nvme002 32 1e80e68 79413 2021-05-23 19:13:50 02:34:00 1 26.74% 160 GiB
10 nvme003 32 66a7b1b 79987 2021-05-23 19:16:50 02:30:59 1 25.54% 163 GiB
11 nvme004 32 c21b1c2 79988 2021-05-23 19:16:50 02:30:59 1 25.50% 163 GiB
12 nvme005 32 3a9e2af 79989 2021-05-23 19:16:50 02:30:59 1 25.78% 162 GiB
13 nvme006 32 21463ff 79990 2021-05-23 19:16:50 02:30:59 1 25.88% 162 GiB
14 nvme007 32 0e75ba5 79991 2021-05-23 19:16:50 02:30:59 1 25.54% 162 GiB
15 nvme008 32 79e2e13 79992 2021-05-23 19:16:50 02:30:59 1 25.40% 163 GiB
16 nvme001 32 189ef25 91004 2021-05-23 20:12:55 01:34:55 1 16.89% 162 GiB
=========================================================================================================================
Manager Status: Running
CPU Usage: 19.1%
RAM Usage: 32.29/125.69GiB(26.7%)
Plots Completed Yesterday: 18
Plots Completed Today: 28
I’ve very new to this, but would it be better to have 8 running at the same time, but with a staggered start? It looks like you have 8 in parallel, but all started at the same time. I suspect that you are distributing the writes to different drives/folders, so I guess it comes down to where the bottleneck is for your system, although I don’t see one.
It looks like you have 128 buckets, 16 threads, and 3390 for memory. Memory and buckets looks OK to me, but I thought there were diminishing returns past 4 or 6 threads?
These are 8 jobs for 8 separate NVMEs more parallel jobs will start after stagger + when they get out of phase 1. At the end I will expect max 48 jobs running at the same time but they will not start all at once.
I set up a chia farming rig! It’s all parts that I already had, some of it I was going to give away, but got lazy.
I didn’t like the idea of burning up SSDs, so I actually mine on HDDs. It’s not much slower than SSD farming so maybe my bottle neck is elsewhere? I’ve also been testing plots only 1 or 2 at a time and staggered, so maybe with more plots at the same time, I’ll find the bottleneck. At any rate, I have 6 2tb HDDs in mdadm raid 0 (yes raid 0!!) to speed things up.
I am looking to automate it, and right now, the path of least resistance is good ol’ fashioned bash scripting and cron jobs. I think swar might be a good solution but… reasons and lazy.
Now if I can just figure out how to add a hot spare to my raid 0 array…
am i doing it rite?
7 Likes