Bladebit cuda plot reddit

We would like to show you a description here but the site won’t allow us. To query a compressed plot for a challenge run: bladebit_cuda -v -t <thread_count> validate --f7 <integer> <path_to_plot_file>. You should probably be in the range of 1,5-3hours May 11, 2022 · Alpha 2 bladebit. #423 opened on Oct 1, 2023 by ablocks. Then in your DESTS = [] you simply need to set the harvester (or local drive) where you want the plots to be moved. There might be an experimental option for 16G + GPU + disk for Linux BladeBit CUDA A GPU plotter, included with Chia 2. Now there’s bladebit. /bladebit_cuda -f <farmer_address> -c xch1w70n. System: X299 motherboard with i9-10980xe. 5 mn with ubuntu, but moving with the same ssd when plotting is slow. . [Bladebit CUDA Plotter] Host RAM : 19 GiB Plot checks : disabled Selected cuda device 0 : NVIDIA GeForce GTX 1070 CUDA Compute Capability : 6. There is no final answer on this yet either way you take a gamble. Crash… This was the reddit post that had the script I used. I just finished writing the script that inserts compressed plots into my disks. And i think bladebit speed can be tuned. But it's proof you can make compressed plots with as little as 4GB RAM (my 2GB Zimaboard wouldn't complete a plot, so 4GB is probably the minimum). 1 SM count : 15 Max blocks per SM : 32 Max threads per SM : 2048 Async Engine Count : 2 L2 cache size : 2. No OC, just running Chia GUI and the bladebit simulate. So I had to stick my HDD (for final destination) to a SATA HDD Docking Station which boosted my plotting time for bladebit from 60+ to 46 mins. Also, RK3588 has 16G or even 32G boards out there. I hope Bladebit can plot the next one without waitting for the copy done. And try making a plot that way. --compress you can choose 1-7. I also have a i7 12th gen laptop with a 4GB RTX 3050 card. •. It may run fine on Windows. Very cool, but you could have 4 servers Sep 22, 2021 · If you are wanting to use a GPU to make plots, be sure that you download the bladebit-cuda artifact! What's Changed. Nexo is the world’s leading regulated digital assets institution. The destination drive is a raid 0 970 EVO pair of 1TB SSDs. Type: Compressed or uncompressed; Size: k32 only (larger sizes to be added later) Requirements. Hi, Do anyone know what’s the ssd TBW for plotting one k32 plot by cuda plotter v3. Bladebit, currently in pre-release, should produce compatible plots. Experimental RAM + disk plotting: at least 16 GB (only available with the standalone version of BladeBit) Fully supported RAM + disk plotting: at least 128 GB. You are using the wrong plotter. 0. When farming compressed plots, extra compute is needed on the fly. Jan 20, 2023 · Summary. Step 2 completed step in 13. This repo contains Chia farming scripts for optimizing plotting and farming operations. It is certainly a pain trying to figure out how to move these efficiently. So the literal answer is that we expect it already supports compressed plot files and gpu plotting, because it does. Gigahorse is closed source and was developed externally by madMAX. A bit things to note, you have to modify your config. Only plots that can be farmed at that compression are gigahorse with their farmer software and it will cost you 3% of your winnings for life. bladebit alpha --cache 100GB. The system seems to be taking just short of 10 minutes a plot, using Bladebit_Cuda 128 mode, under Ubuntu 22. furthermore, in my chia gui (2. Maybe there will be some update to the code, dunno. If you are CPU farming I wouldn’t suggest going over C4-C5. 2. Bladebit is developed by Chia employees with Chia funding and it's completely opensource. -n is number of plots to make: advice to do more than 1 at a time as it takes a long time to allocate memory at the start of the first plot. 00 MB Stack Size : 1. You should probably be going for Gigahorse C8 with that small farm size. Please use our Discord server instead of supporting a company that acts against its users and unpaid moderators. Gigahorse compressed, had mostly replotted from c5 and c15 to c18 at that point. You better have plow ready, with that 3060 and 256 GB of RAM you're gonna be outputting a plot about every 2. If a Windows version of BladeBit arrives I might try it to see if it actually produces valid plots in such a short time. 26 seconds with 3532701407 / 4294754004 entries ( 82. 82 seconds (8. bladebit cuda plots cannot be farmed just yet. sh, create Bladebit and C7 plots with GPUs using bladebit-plotting. • 2 yr. In fact, at this point Flexpool's reddit account looks like a bot trying to hype MadMax's closed source tools. For BladeBit CUDA plotting: NVIDIA GPU with CUDA capability 5. when i create around 200 plots on a drive, chia plot check 100 says 75% of the plots are bad. Allocating buffers (this may take a few seconds) I tried plotting with Chia Blockchain GUI and Bladebit Cuda plot compression level 1,5,7 MadMax GUI, Madmax CLI C7, C18, C20 Final destination SSD's and HDD's Current try is with RTX 3080 and the Corsair MP600 as temp and final destination Resource consumption: CPU 10-14% Memory 123/160 (77%) SSD write 20. Mind you minimal but it’s essentially a tax on your chia. 15 seconds ( 116. 92 GB Free : 7. I knew compressed plots are not ready for farming, but I thought uncompressed plots are good and made over 2000 plots, until now. BladeBit - Fast RAM-Only Plotter, Open Sourced. 3 billion proofs of space. 5 minutes. deduct 5%, that will be your time for compressed. Replotting raw plots with C7 plots using bladebit cuda plotter 256gb ram system. I'm plotting with Bladebit Cuda, and each plot takes between 8-20mins with my 3060ti, Seems slow to me. So always run the simulate command under real conditions. /bladebit_cuda -f <farmer_public_key> -c <pool_contract_address> -n 1 -z 7 cudaplot --disk-16 -t1 I’d make BB compressed plots on available space, but hold off on replotting. 00 MB L2 persist cache max size : 0. However go with MadMax plotter. Gigahorse can also farm regular standard Chia plots, and this is also true for Flexfarmer with this version. 4. going to do a video on the simulator here soon. We use Ubuntu for this overview. 9 version. The most i have plotted in one got was around 70. Edit: here's a couple of real options. Jul 16, 2022 · Seems like a good time to start learning Linux. sh and bladebit-cuda-plotting. Stumped on a tech problem? Ask the community and try to help others with their problems as well. You can use the standart chia client that isnt a problem. I have tried all 3 alpha’s, same error SOURCES = ['/mnt/nvme_drive0'] This is where bladebit_cuda places my completed plots. If farming with cpu (i. In Chia farming, rewards are earned on effective capacity after decompression, so TBe is the number farmers will need to use to estimate rewards. No, you need to install the NVIDIA proprietary drivers but it's really easy with "Software&Update" tool on Ubuntu Yes absolutely it's how you can see your screen, idk if I understand correctly but yes you connect your graphics card to your monitor as usual I personnally limited the TDP to the bare minimum (110W) as it did not impact the overall Time performance of plots (because of the also everyone has a different opinion whether to install the original cuda drivers or not. You can probably do a little better with faster CPUs, but I used what I had. Is this to be expected, or are there any "tweaks" I should be making? Command buffer full. This really should be MULTIPLE destinations if they are spinners, otherwise you will hold up moving the plots from your NVMe to your spinners Aug 28, 2023 · This short guide gives an overview of how to estimate the compression level your CPU/GPU will support for Bladebit CUDA using the simulator and gather some helpful performance diagnostics as well. Every now and then the plotting stalls at 55% and crash's. If it does work, it might mean the early demise of k32 So you don't need 500GB RAM. 53 seconds. Plot grinding, spoofing plots with GPU, can be theoretically performed once phase 1 is under 28 seconds, but isn’t economical and requires Here we go, lost again plotting with gpu. 10. Then I bought a GPU. 27 votes, 38 comments. The better mode will be cudaplot with 128GB ram which is coming next. sh, farm GPU plots using harvester-compose. exe -c xxx -f xxx -n 1 -t 40 cudaplot E:\ result are as following, anyone can find there is any problem? Bladebit Chia Plotter Unzip the file, and open a command prompt or powershell window in the directory. Running the bladebit cuda command in benchmark works fine, however when i try to generate a plot it crashed. 912 seconds for the park buffer to be released. 2TB U. " I'm using a poweredge r630 server. /chia_plot -n 1 -r 16 -t /Volumes/RAID0/ -d /Volumes/RAID0/ -c So yes. An Orange Pi 5b would be better if you need a SBC. There is a trade off - compression uses less disk space but more compute (CPU power). 26% ). The scripts automate partitioning, formatting, and plot creation on hard drives using prepare-drives. #422 opened on Sep 30, 2023 by xxsmoo. Even better, use a ramdisk. 0-beta1 BladeBit was developed by Chia Network, Inc. I'd say go for it. gg/chia I have a ROG Crosshair VIII Hero with a Ryzen 5900, 128GB of RAM and a RTX-3060. Reply. Plot time 35 min and 387Gb write on ssd. Fix harvester architecture selection by @wallentx in #367; Set build-cuda. Currently the compressed plotting with GPU + disk only is disabled in Bladebit. BUT, it is also the only officially released compressed plot plotter/farmer, so you would be able to fit more plots into that 6TB. 633 TiBe (effective) Remote Harvester The Bladebit 3 software supported cuda plotting about three weeks ago, before it was integrated with the Chia software distribution bundle. In theory I had everything ready, updated Win11, updated 1080ti drivers, i7 10700, 128gb RAM and 2tb nvme to use as temporary. Giving me the errors in the pictures. BWFree. Disabling the xmp profile worked for me. Waited 2267. The last time I created plots, I was using the Chia Proof of Space plotter and it takes about 6 hours to create one plot on this system. You should test your setup for good optimal flow. I doubt the MMU on a Pi4b or even Pi5b could handle 500GB if you figured out how to attach it. At least 8GB of vRAM. Completed table 4 in 248. Gigahorse will also be able to handle around 3x more plots with the same GPU at the same compression. Then I plotted. We are releasing this guide today as a 0. 6 SM count : 46 Max blocks per SM : 16 Max threads per SM : 1536 Async Engine Count : 2 L2 cache size : 4. The standalone Bladebit release 3. 0 is out, and the Chia Blockchain software bundle is in release candidate status. I've been running: Local Harvester 1400 plots of size: 138. Bladebit will be coming out soon but it may be a month or two As a follow-up to our recent report analyzing the performance/power efficiency of BladeBit CUDA, we have made available a short guide on how to get started benchmarking compressed plots on your own hardware and gather the next level of detail on Nvidia GPU and CPU/memory/network/etc stats. I have 2x Quad-CPU PowerEdge R820s that I plot on and tested both MadMax with ramdisks and BB and BB was faster (I don’t remember the exact amount, it’s like 17mins/plot vs 25mins/plot or something like that). 1beta1 version by @wallentx in #370; Fix CUDA plot issues on Windows by @harold-b in #381; Full Changelog: v3. The company's mission is to maximize the value and utility of digital assets through our comprehensive product suite including advanced trading solutions, liquidity aggregation, tax-efficient asset-backed credit lines, a high-yield Earn Interest product, as well as the Nexo Platform and Nexo Wallet with their top-tier Connect hdd direct to ploter with bladebit. Let me RTX 3090, 512gb RAM, Ubuntu 22 : r/chia. cuda plot doesn't fail if plot drive is full. There is performance drop if Chia GUI is running. 26min plot time) but checking with plot check gives an invalid result. Join the #Bladebit-Alpha testing channel in our Discord to learn more. I'm getting about ~21min/plot with 2680v4 CPUs. You can buy a miniPC x86, with a Intel Celeron N5xxx + 8GB Ram (100$) Better options are Orange pi 5, mac mini education m2. Set the thread_count value to the thread count you want to use when decompressing. Waiting for parks buffer to become available. 2 SM count : 13 Max blocks per SM : 32 Max threads per SM : 2048 Async Engine Count : 5 L2 cache size : 2. For example level 1 has 3. Running Windows Chia client on version 2. 44% decrease from BB to GH in terms of space used. Sometimes i can only plot 3 then it crashes, some time more. Feb 10, 2023 · Although you can build levels 8 and 9 plots, those are for testing purposes only and are not queryable yet. which is far away from my result Completed Plot 1 in 6988. After plotting 250GB of C7 reduced plots, I AFAIK, Gigahorse plots are not supported by the Chia farmer client. It is an open-source plotter that is included in Chia 2. Almost 8% of netspace (up to 2 EiB) is already replotted to Gigahorse compressed plots and are properly farming on mainnet. I copied over an old regular plot to the same directory and it shows that 1 plot in GUI. Not sure what 16GB will be like though. shmox75. GPU performance and i/o bandwidth are growing at a rapid pace. Replot with peace. 1 • built/installed cmake 3. The Chia-sponsored compressed plot software is looking pretty imminent. Bladebit v3. Gigahorse and BladeBit CUDA Plot use fundamentally different tiers of compression, and as a result their "c levels" are radically different. For GPU plotting: Nvidia GPU that supports 8 GB VRAM and CUDA Compute Capability 5. Made specifically for k32 plots and it is You need a CUDA capable card (nVidia) to plot, but my Gigahorse farmer is actually using OpenGL to harvest with my integrated GPU. 25 minutes). Finished plotting in 494. Major new features include DRAM caching to reduce writes Sep 1, 2023 · Step 1 completed step in 12. Bladebit, I think it's the beta only still, can GPU plot with little RAM. Plotting and Farming are now more efficient on a GPU, but using a CPU is still fine. As far as Gigahorse, that's answered above in summary. Can somebody please confirm that chia plots check works correctly for your bladebit CUDA compressed plots? The plot shows up in the GUI (the last 2 images). We performed measurements on the new Intel Xeon W5-2455X (Sapphire Rapids workstation CPU), Core i9 12900k, Core i9 11900k, and Core i9 9900k. You can farm Bladebit compressed plots to Flexpool with any farmer software that supports them. i found some videos that used the plotter there. 5 minutes on a single high-end GPU + 256GB of RAM. good times. Put a faster nvme as a buffer drive. 2. . INFO worker: Initialized Gigahorse plot backend cpu-fee=1. #424 opened on Oct 3, 2023 by bhorvitz. OS: Windows 11 or Debian/Ubuntu Linux (MacOS and other flavors of Linux will likely be supported in the future) Memory: For 100% in-memory plotting: 256 GB of DRAM If you want to run a benchmark just run the release version of bladebit disk and make a normal plot. • 2 mo. The 2. 26. 256GB kingston fury renegade DDR4 3200MHz. Waiting for a Command to be available. bladebit for sure - anyone that has the 512GB+ of ram setup, BB will be faster. Just plot regular, except with gpus. Personally I don't plan to add a GPU to my farm. It requires 416 GiB of RAM plus a few more megabytes for some small allocations and stack space. If you have created plots with version 2. to be able to plot with the non cuda bladebit plotter because the temperature was too high and it failed every time. 3 - Created C5 and C7 plots, but it shows 0 plots in GUI. TLDR: 49 minutes Mad Max vs 35 minutes Bladebit. This is because Bladebit is still in Alpha. Note: Reddit is dying due to terrible leadership from CEO /u/spez. Bladebit will fill your disk quickly so you don't lose anything. Those partials come out proportionally as submitted and go to Max's address (which he's published a few times, look it up on his discord or here if you want to see). So, it is possible to create C7 plots via WSL in Win 11 with CUDA disk16. 77% and level 9 has 9. I used bladebit for all my compressed plots with 64GB of RAM. I'm also running Machinaris on my main server and it is updated to current version, fully syncing and farming, but only sees my uncompressed plots as well. tested with bladebit check and im getting 50/100. 00 MB L2 persist cache max size : 3. Fine_Error5426. Just remember back in the Madmax days when guys were trying to use PrimoCache and all that stuff. Feb 23, 2023 · Using an RTX 3090 is getting sub-2 minute K=32 plot times using the Alpha release of BladeBit_CUDA. If no space, remove a plot that is not C5 until there is no space and no none C5 plots. If you can copy to something that is faster than a single HDD, then it will speed up the overall plotting process. I’m gonna wait for the official bladebit_CUDA release since I’m maxed out at 128 GB for my current setup. Blade it is fast in generating plots, saving it to fast ssd allows you to make more plots. Welcome to r/Chia! This unofficial subreddit is dedicated to the open discussion of Chia cryptocurrency and any news related to the project. Unless it just recognizes you have enough ram for a RAM disk and does it automatically. yml - 88plug/chia-farming No, you do not need a new pc. ps1 script to use the bladebit cuda plotter with the arguments to do compressed plots and in the primary batch script I added a line above the command to launch the plotter to delay starting the plotter for 250 seconds. Hardware. For official plotter, use Bladebit CUDA plotter (Alpha version only, and Chia client can't farm compressed plots yet) For alternative, use MadMax´s Gigahorse CUDA plotter (Note: requires custom • installed CUDA 12. 8 /mnt/plotstmp/ To get plot compression, you have to re-plot. 1tb, 2Tb temp drive should work. The GPU in it will be totally irrelevant to anything Chia related. Tactics Ogre, crown jewel of the tactical role-playing genre, is reborn! Based on the 2010 release, the game features improved graphics and sound, as well as updated game design, bringing to life a new Tactics Ogre that remains true to its roots. 1. urufusaru. Share this article: Chia is releasing new plotting software called Bladebit Disk, utilizing the high-performance code from the in-memory plotter Bladebit, with a new architecture optimized for mainstream storage devices (solid state drives, and hard disk drives). EDIT: On Linux. Yes, you can. Step 3 completed step in 222. 0 ? I know Gigahorse gpu plotter takes about 0. 1. [Bladebit CUDA Plotter] Selected cuda device 0 : Quadro M4000 CUDA Compute Capability : 5. 0 Cuda disk16 with WSL. Chia client recognizes those plots as valid, plot counts are going up, but produced no proofs. Like a real PITA. The obvious way forward here is to load up a linux plotter and be on my way. (That said, you need more than 32GB of ram to use any kind of GPU plotting however) https://discord. The extra modifications I did were changing the plotter. Explore the GitHub Discussions forum for Chia-Network bladebit. Yes, I have 16GB of RAM and here is the command line: . Discuss code, ask questions & collaborate with the developer community. Bladebit CUDA plotter could do that in just a few hours as well (very similar speeds to Gigahorse), but it isn't technically released to production yet. 5% for cpu farming, 3% for gpu farming--for any compressed plot. I thought it was my system, so i reinstalled WIndows, but the same problem. Leave it at stock numbers for start. I'm just curious if anyone was able to fix the diskplot bug that seems to be specific to Windows. 06 seconds. 0 using either the Linux GUI, or the chia plotters bladebit cudaplot command on Linux, those plots are invalid, and will need to be removed. Try it with the syntax as specified below, it worked for me. Using MadMax plotter I get about a 43 minute plot time for both SSD and RAM. 00 MB Hi All, I am replotting using Bladebit CPU RAM PLOT level C6 via the Chia GUI v2. Proof validation failed : 14 ( 14. 1 Latest. 00 KB Memory: Total : 8. Plot time 33 min and 434 GB write, much better than alpha 1, MAdmax win on ssd write : 387GB < 434GB, but bladebit faster. Until then, I’m reading up on what approach is “best” to plot. 0 • built bladebit (cuda-compressed branch) and green reaper artifacts with sm_87 gencode • built chiapos wheel using the aforementioned green reaper artifacts • built/installed chia-blockchain using the chiapos wheel and the long_lived/compression branch Tactics Ogre: Reborn. 47 minutes ) Setting: HP DL380 gen8 256 GB DDR 3 3070 with riser connect with server using window 10 cmd is using below,. The difference percentages are off imo but I see how your calculating it. I’ve never tried Windows plotting before, but based on what I’ve read here and Reddit, it seems like a PITA to get going. 14 GB. One valid plot generated with cpu, one invalid generated with cuda. It is a complete re-write. Hcerit07 asked on Oct 3, 2022 in Q&A · Answered. 46K subscribers in the chia community. A 64-bit CPU (Intel x86, AMD x86, or arm64) System RAM. 04. 8GB, with approximately 4. 2 dual enclosure with Optane 905p x2 via Thunderbolt. Full release to follow. I have been trying to install bladebit cuda in ubuntu server. 000% ). Jan 26, 2022 · rkalla January 27, 2022, 2:16pm 14. That's my time on Gigahorse with a comparable setup anyways. I’m planning to plot fast to create a 1PiB farm for a friend and also replot my own farm. K=32 plots in 1. 00 KB Memory: Jul 20, 2021 · I have a Dell Workstation (Windows 10) with 8 core Xeon, 512GB RAM and an additional 1TB SSD. Definitively much less shady than the relationship between Flexpool and MadMax. The plotter seems to run fine (5. 3) the bladebit cuda plotter is not listed among all the plotters. If you could Add the dev fees attached to certain plotters for produced plots that will give the full picture as some compression programs come with reduction in total chia earned per block reducing the overall benefit of compression for the farmer. With GTX 1070, I get under 5 minutes C7 plotting time, thanks to RAM disk. A majority of the plot time is due to a "Command buffer full. Bladebit on windows 11 with 256gb and 3090 plotting to a x6 hdd raid 0 directly in 2mins 30sec. Idk about Bladebit. That's like an additional 30-40 percent of your farm! It'll literally take you less than a week probably to plot 500 TB. Micron 9200 Max 3. But it is slower then using Linux itself. 3GiB / 108. How about Bladebit Cuda (Linux) uncompressed plots, are they farmable? Please check with Chia Plots Check command. Reply reply. So you need nVidia to PLOT but you can FARM on non-nvidia if you have more than one machine you're working with. 4 tbw of an ssd to plotting one k32 plot with 128gb of RAM comments sorted by Best Top New Controversial Q&A Add a Comment Writing on the 'final destination' (during Phase 3 in bladebit) is a part of plot creation so you have to factor it and this will slow down the plotting via bladebit (it did in my case). Do you know if it is (or if it will be available in beta or final release) possible to tell bladebit cuda to write plots on different temp ssd ? I can plot in 5. 2 and up. There are two modes bladebit -t 2 simulate -n 1000 -p 8 plot-k32-c07-2023-03-06-17-07 Mar 28, 2023 · [Bladebit CUDA Plotter] Selected cuda device 0 : NVIDIA GeForce RTX 3070 CUDA Compute Capability : 8. 1 SM count : 15 Max blocks per SM : 32 Max threads per SM : 2048 Async Engine Count : 5 L2 cache size : 2. 2tb Samsunng 990pro nvme 64GB DDR4 RAM This can do the same plot (using --disk16 option) in 30 minutes. Have you checked the ram temperature during the process? I've not tested yet the cuda bladebit but I had to low the ram freq. run the command: bladebit_cuda -f xxx - c xxx -n 1 --compress 1 cudaplot D:\myplotdirectory\. I won't count on four better but worse than RK3588. Diskplot has a bug right now (which is why it’s disabled) but it is on the list to get working soon. My command line: bladebit_cuda -f {farmer key} -c {pool contract} cudaplot -t1 C:\Chia\PlotNVMe2\cuda c:\chia\farm7\cuda chia plots check fails (see image 3 below). Q2 (should be the beginning of Q2) they will release the production version together with updated farmer that can farm compressed plots, CPU only, GPU farming is (much)later. GPU plotting is here from Chia and madMAx – and it is very fast. But that is quite a bit of guesswork right now. Oct 23, 2023 · After it completes the plot, you should get the plot check, basically the same output as if you use BB to check the plot. Jan 20, 2023 · For Chia farming with plot compression, we will normalize the effective capacity to a k=32, 101. I've heard a few people say that Bladebit didn't work too well with some AMD systems, so that also might explain the difference vs madmax plotter. 67 seconds. 33 GB Bladebit CUDA: is there any optimization to do? The finished plot writing to buffer time is 38 seconds can be reduced to 10 sec and lower. -----. RTX 3080 FE. The slowest part is the copy to HDD when the plot is done. 575 TiB on-disk, 138. Alpha build of Bladebit Cuda (GPU plotter) is already available for download and works fine, at least on Linux. I'm reading that the BladeBit Plotter for disk plotting is faster but I have no idea where to start with the settings for this plotter. bladebit_cuda -f <key> -c <contractaddress> -n 1 --compress 7 cudaplot --check 100 --check-threshold 0. My guess is, it should be fine/perfect for farming later on. I am not 100% with this but I think there is a high % chance of being right when I say that in the end Flexfarmer (and maybe Gigahorse) could farm all 3 plot types (Gigahorse, Uncompressed Chia plots, and Bladebit compressed). First results for MadMax on Apple Mini M1 (8gb) Temp Drive using OWC U. You still need a minimum of 128G ram to do it. Plot time increases after 1st plot. sh executable, set 3. GPU Plotting. Using titan V, I get under 3 minutes C7 plotting time. e. Apr 16, 2023 · Suggestion are: GPU is very hot and I can not change GPU voltage, memery voltage,GPU frequency, memery frequency and fan speed like ETH miner. brian@brians-Mac-mini-5 build % . 00 KB Memory: Total : 7. [Bladebit CUDA Plotter] Host RAM : 255 GiB Plot checks : disabled Selected cuda device 0 : NVIDIA P104-100 CUDA Compute Capability : 6. Chia plotting is about to get crazy again. 1 Minute Plot times using Chia's BladeBit_CUDA! RTX 3090, 512gb RAM, Ubuntu 22. People have reported plot time with that of about 10 minutes with bladebit. 44c07t-n 181 --compress 7 cudaplot --disk-128 -t1 Will this cause a problem if I am only self pooling? The plots produced appear to farm correctly with "plot passing filter". Hi everyone, I've developed a high-performance, RAM-only plotter for k32 plots and I wanted to share with everyone a video of it in action (boring, but interesting to some of us). You can plot with the Bladebit Alpha with a compression setting of 0. Raspberry Pi 4 or even any standard PC system without a GPU or with GPU disabled for farming), it's about 13 partials. Peak ssd space consumption 256GB. A high-performance k32-only, Chia (XCH) plotter supporting in-RAM and With Flexfarmer and gigahorse plots, you pay effectively in points/partials--1. 0 Plot capabilities. Is this a bad plot? I use bladebit on R630 with 512GB RAM to plot. It starts writing after each table at phase 3. Award. You can farm the compressed plots now on alpha, but no guarantees that something won’t change requiring a replot of those compressed plots when it comes out of alpha/beta. I have Seagate firecuda 530, writes 2GB/s and I have 5 to 10 seconds write to buffer time. Definitely need temp 1 and temp 2 options for MM on there. The official version of Chia is finally out with Bladebit CUDA 128gb for Windows, and as expected it is not going to be a bed of roses. I bought a computer. 3. 534 b/sec - 23950 b/sec Currently, we have one article available which provides an independent detailed analysis of CPU and GPU performance for BladeBit CUDA, along with power consumption data. This is of course all with MadMax Gigahorse solution. I have 3 hour plot times on an Athlon 3000g, your CPU is 3 times as fast. Some people had mentioned before that bladebit produced broken plots in Windows. I was thinking the same, but then I remembered that MadMax also plots without a RAM disk, just straight to the SSD but using all cores in all phases. 256GB memory costs less than $200 if you get DDR4-2133 memory and will give major savings by reducing the plot copy time under 30 seconds. 5% gpu-fee=3% So if you have 100 gpu farmed plots, that's 1000 points a day, of which 30 would go toward Madmax's payout address. 3. 2 Destination drive. 4 • built/installed gcc 11. /bladebit simulate --power 120 --size 500TB --filter 256 [path_to_plot] Comment: Running this on a Raspberry Pi 5 8GB using Raspberry OS Bookworm ARM64 Desktop Version. From what I can recall, there were only two options to plot: native chia or madmax. It went as slow as my previous CPU plotting with madmax, but it worked fine. Well, it looks like it makes sense to use GigaHorse despite the fees. Happy holidays, I have a few free days to try to compile bladebit to plot with my 6gb GPU in my Windows system. ago. Remote compute to a 3060LHR (one of the farmers is on the other side of a 200mbit VPN across town, other is local) with 1080 as a backup. /bladebit_cuda. 0v3. I start the tests, 26 min for a c7 plot Suggestion - don't increase plots made count after finding a failure. 00 GB Free : 7. Aug 8, 2022 · Announcing Bladebit 2. release addresses an identified issue with GPU plotting on Linux when using the GUI, and specific command-line parameters. Bladebit always wait for copy done then goes to the next one even if I have enough memory space. madmax+ram 110GB ram-disk. yaml to make sure the new options that enable compressed plot harvesting is there. If you are looking for a budget low profile GPU with 8GB, have a look at a Tesla P4, they go for around $100,- on ebay. Command: . Is this a valid test on c7 plots? tested a plot with chia plot check -n 100 and it says plot is bad. TO get the insane plotting speeds, you will need a GPU. gm gf ci du nm zf ch qu ms tu