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160 lines
No EOL
5.9 KiB
Markdown
Executable file
160 lines
No EOL
5.9 KiB
Markdown
Executable file
# FEEEDFARM
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## Modes of Operation
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rendering X learning X mining
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### 1/ [AI](projects.feedfarm.md#AI) _how?_
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### 2/ [3D](projects.feedfarm.md#3D)]
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### 3/ [coins](projects.feedfarm.md#coins) _?_
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## GeForce GTX 1080 Ti
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### Specs
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Maximum Graphics Card Power (W) 250
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#### Cores
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CUDA Cores 3584
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Graphics Clock (MHz) 1480
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Processor Clock (MHz) 1582
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#### Memory
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Standard Memory Config 11 GB GDDR5X
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Memory Interface Width 352-bit
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Memory Bandwidth (GB/sec) 11 Gbps
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#### Supported Technologies
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SLI, CUDA, 3D Vision, PhysX, NVIDIA G-SYNC™, GameStream, ShadowWorks, DirectX 12, Virtual Reality, Ansel
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## Questions
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### Interkonektivity via SLI
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sli becomes NVlink
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##### https://en.wikipedia.org/wiki/Scalable_Link_Interface
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>SLI allows two, three, or four graphics processing units (GPUs) to share the workload when rendering real-time 3D computer graphics.
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>Not all motherboards with multiple PCI-Express x16 slots support SLI.
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##### https://www.gpumag.com/nvidia-sli-and-compatible-cards/
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>**High-Bandwidth Bridge or SLI HB Bridge** (650 MHz Pixel Clock and 2GB/s Bandwidth) – This is the fastest bridge and is sold exclusively by Nvidia. It’s recommended for monitors up to 5K and surround. SLI HB Bridges are only available in 2-way configurations.
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##### resume?
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- [SLI is not needed for 3d renders](https://linustechtips.com/topic/896397-is-sli-really-needed-for-rendering/)
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- [SLI and VR](https://www.quora.com/Is-SLI-worth-it-for-VR?share=1)
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- [ SlLI in gamemachine](https://www.quora.com/Is-SLI-worth-it-in-a-gaming-machine)
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- SLI and nvidia quadro?
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### VRam share?
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- is it possible?
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### Machine Learning
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- https://www.pugetsystems.com/labs/hpc/NVIDIA-GTX-1080Ti-Performance-for-Machine-Learning----as-Good-as-TitanX-913/
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#### Hardware setup
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- https://blog.slavv.com/the-1700-great-deep-learning-box-assembly-setup-and-benchmarks-148c5ebe6415 !!!
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- https://medium.com/the-mission/how-to-build-the-perfect-deep-learning-computer-and-save-thousands-of-dollars-9ec3b2eb4ce2
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- http://guanghan.info/blog/en/my-works/building-our-personal-deep-learning-rig-gtx-1080-ubuntu-16-04-cuda-8-0rc-cudnn-7-tensorflowmxnetcaffedarknet/
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- https://www.servethehome.com/deeplearning10-the-8x-nvidia-gtx-1080-ti-gpu-monster-part-1/
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- multi gpus
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- https://hackerfall.com/story/which-gpus-to-get-for-deep-learning
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- https://medium.com/analytics-vidhya/setting-up-a-multi-gpu-machine-and-testing-with-a-tensorflow-deep-learning-model-c35ad76603cf
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- cluster networking
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- https://timdettmers.com/2014/09/21/how-to-build-and-use-a-multi-gpu-system-for-deep-learning/
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## 3D
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### Blender
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#### sheepit
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- cant manage plenty of stuff
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## render farms
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https://www.videomaker.com/article/c01/18933-make-a-render-farm-out-of-old-computers-for-a-cost-effective-way-to-speed-up-rendering
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https://www.toolfarm.com/tutorial/in_depth_render_farms-2/
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### davinci resolve
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- [windows video tutorial](https://www.youtube.com/watch?v=Xernl1v01K4_)
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- [linux video tutorial](https://www.youtube.com/watch?v=10cpBZ86vrc)
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- [DaVinci Resolve Remote Render Server Complete Guide (Windows/Linux)](https://forum.level1techs.com/t/davinci-resolve-remote-render-server-complete-guide-windows-linux/138807)
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## AI
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#incubation https://www.makeuseof.com/4-unique-ways-to-get-datasets-for-your-machine-learning-project/
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### spleeter
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!!!! #incubation !!!!
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EASYTOGO
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### [incubation.openAI](incubation.openAI.md)
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#### [jukebox](https://github.com/openai/jukebox)
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- [ ] 16gb VRAM?
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- https://github.com/openai/jukebox
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- https://www.theverge.com/2020/4/30/21243038/openai-jukebox-model-raw-audio-lyrics-ai-generated-copyright
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- https://github.com/openai/jukebox/issues/136
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#### openAI gym
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- https://medium.com/curiouscaloo/a-gpu-ready-docker-container-for-openai-gym-development-with-tensorflow-9be3d61504cb
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### [tools.magenta](tools.magenta.md)
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### tensorflow
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- https://www.tensorflow.org/tutorials/generative/dcgan
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- https://joelgrus.com/2016/05/23/fizz-buzz-in-tensorflow/
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### EBsynth
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- https://ebsynth.com/
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### runwayML
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- https://runwayml.com/
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## coins
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- Efektivni vs. efektni?
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- bitcoin? [[ethereum]] ?
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??????? ???????
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???????
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???????
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???????
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???????
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???????
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??????? ???????
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## Hardware
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### motherbords
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#### new
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- 2 way sli? ? ? ?
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- https://www.alza.cz/msi-mpg-z390-gaming-pro-carbon-d5471041.htm ?
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#### aukro
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- https://aukro.cz/asus-p8z68-v-socket-1155-ivy-bridge-sandy-bridge-ready-zaruka-6980209156
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- https://aukro.cz/asus-crosshair-iv-formula-amd-890fx-rozjede-i-fx-procesory-6978083856
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- **!!!** https://aukro.cz/asus-p9x79-deluxe-intel-engineering-sample-q8av-i7-2490x-3960x-6980118152 **!!!**
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- **!!!!!** https://aukro.cz/zakladni-deska-cpu-ram-pouzita-plne-funkcni-6980112877 **!!!!!**
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#### with quad SLI //VR solution
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- [reference](https://pcpartpicker.com/products/motherboard/#h=3,8&sort=price&l=4)
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- [reference bez zdurazneni SLI](https://pcpartpicker.com/products/motherboard/#h=3,8&sort=price&L=4&m=8)
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##### sorted by SLI capabilites
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- 16/16/8/8
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- https://www.gigabyte.com/Motherboard/X399-DESIGNARE-EX-rev-10/sp#sp
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- CZ
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- 12000,-
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- https://www.asrock.com/MB/AMD/Fatal1ty%20X399%20Professional%20Gaming/index.asp#Specification
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- 16/8/8/8 - socket LGA 2011
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-
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- ` 4 PCI-E 3.0 x16
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2 PCI-E 2.0 x1 (in x4 slot),
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,
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\*\*\*4 PCI-E3.0x16 slots are running at 16/16/NA/8 or 16/8/8/8\*\*\*
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\*\*\*PCI-E slot #1 supports (x4) and slot #4 (x16) is disabled when Intel Core i7-5820K , i7-6800K or any processors with only 28 lanes is installed\*\*\*\*\*\*PCI-E slot #1 supports (x4) and slot #4 (x16) is disabled when Intel Core i7-5820K , i7-6800K or any processors with only 28 lanes is installed\*\*\* `
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- https://www.senetic.cz/product/MBD-C7X99-OCE-O
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- 8000,-
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- 16/16/16/16 - socket 2099
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- https://www.asus.com/Commercial-Servers-Workstations/Pro-WS-X299-SAGE-II/
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- https://www.bhphotovideo.com/c/product/1558809-REG/asus_pro_ws_x299_sage.html
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- 13000,-
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- https://www.asus.com/us/Motherboards/WS-X299-SAGE/
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- https://www.zbozi.cz/hledani/?q=ASUS%20WS%20X299%20SAGE&razeni=nejlevnejsi
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- 12000,- |