Automatic update, changed:

This commit is contained in:
sdbs Terra 2021-01-01 18:21:52 +01:00
parent c0b17af09e
commit 1620383459

View file

@ -0,0 +1,160 @@
# FEEEDFARM
## Modes of Operation
rendering X learning X mining
### 1/ [AI](projects.feedfarm.md#AI) _how?_
### 2/ [3D](projects.feedfarm.md#3D)]
### 3/ [coins](projects.feedfarm.md#coins) _?_
## GeForce GTX 1080 Ti
### Specs
Maximum Graphics Card Power (W) 250
#### Cores
CUDA Cores 3584
Graphics Clock (MHz) 1480
Processor Clock (MHz) 1582
#### Memory
Standard Memory Config 11 GB GDDR5X
Memory Interface Width 352-bit
Memory Bandwidth (GB/sec) 11 Gbps
#### Supported Technologies
SLI, CUDA, 3D Vision, PhysX, NVIDIA G-SYNC™, GameStream, ShadowWorks, DirectX 12, Virtual Reality, Ansel
## Questions
### Interkonektivity via SLI
sli becomes NVlink
##### https://en.wikipedia.org/wiki/Scalable_Link_Interface
>SLI allows two, three, or four graphics processing units (GPUs) to share the workload when rendering real-time 3D computer graphics.
>Not all motherboards with multiple PCI-Express x16 slots support SLI.
##### https://www.gpumag.com/nvidia-sli-and-compatible-cards/
>**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. Its recommended for monitors up to 5K and surround. SLI HB Bridges are only available in 2-way configurations.
##### resume?
- [SLI is not needed for 3d renders](https://linustechtips.com/topic/896397-is-sli-really-needed-for-rendering/)
- [SLI and VR](https://www.quora.com/Is-SLI-worth-it-for-VR?share=1)
- [ SlLI in gamemachine](https://www.quora.com/Is-SLI-worth-it-in-a-gaming-machine)
- SLI and nvidia quadro?
### VRam share?
- is it possible?
### Machine Learning
- https://www.pugetsystems.com/labs/hpc/NVIDIA-GTX-1080Ti-Performance-for-Machine-Learning----as-Good-as-TitanX-913/
#### Hardware setup
- https://blog.slavv.com/the-1700-great-deep-learning-box-assembly-setup-and-benchmarks-148c5ebe6415 !!!
- https://medium.com/the-mission/how-to-build-the-perfect-deep-learning-computer-and-save-thousands-of-dollars-9ec3b2eb4ce2
- http://guanghan.info/blog/en/my-works/building-our-personal-deep-learning-rig-gtx-1080-ubuntu-16-04-cuda-8-0rc-cudnn-7-tensorflowmxnetcaffedarknet/
- https://www.servethehome.com/deeplearning10-the-8x-nvidia-gtx-1080-ti-gpu-monster-part-1/
- multi gpus
- https://hackerfall.com/story/which-gpus-to-get-for-deep-learning
- https://medium.com/analytics-vidhya/setting-up-a-multi-gpu-machine-and-testing-with-a-tensorflow-deep-learning-model-c35ad76603cf
- cluster networking
- https://timdettmers.com/2014/09/21/how-to-build-and-use-a-multi-gpu-system-for-deep-learning/
## 3D
### Blender
#### sheepit
- cant manage plenty of stuff
## render farms
- https://www.videomaker.com/article/c01/18933-make-a-render-farm-out-of-old-computers-for-a-cost-effective-way-to-speed-up-rendering
- https://www.toolfarm.com/tutorial/in_depth_render_farms-2/
### davinci resolve
- [windows video tutorial](https://www.youtube.com/watch?v=Xernl1v01K4_)
- [linux video tutorial](https://www.youtube.com/watch?v=10cpBZ86vrc)
- [DaVinci Resolve Remote Render Server Complete Guide (Windows/Linux)](https://forum.level1techs.com/t/davinci-resolve-remote-render-server-complete-guide-windows-linux/138807)
## AI
#incubation https://www.makeuseof.com/4-unique-ways-to-get-datasets-for-your-machine-learning-project/
### spleeter
!!!! #incubation !!!!
EASYTOGO
### [incubation.openAI](incubation.openAI.md)
#### [jukebox](https://github.com/openai/jukebox)
- [ ] 16gb VRAM?
- https://github.com/openai/jukebox
- https://www.theverge.com/2020/4/30/21243038/openai-jukebox-model-raw-audio-lyrics-ai-generated-copyright
- https://github.com/openai/jukebox/issues/136
#### openAI gym
- https://medium.com/curiouscaloo/a-gpu-ready-docker-container-for-openai-gym-development-with-tensorflow-9be3d61504cb
### [tools.magenta](tools.magenta.md)
### tensorflow
- https://www.tensorflow.org/tutorials/generative/dcgan
- https://joelgrus.com/2016/05/23/fizz-buzz-in-tensorflow/
### EBsynth
- https://ebsynth.com/
### runwayML
- https://runwayml.com/
## coins
- Efektivni vs. efektni?
- bitcoin? [[ethereum]] ?
??????? ???????
???????
???????
???????
???????
???????
??????? ???????
## Hardware
### motherbords
#### new
- 2 way sli? ? ? ?
- https://www.alza.cz/msi-mpg-z390-gaming-pro-carbon-d5471041.htm ?
#### aukro
- https://aukro.cz/asus-p8z68-v-socket-1155-ivy-bridge-sandy-bridge-ready-zaruka-6980209156
- https://aukro.cz/asus-crosshair-iv-formula-amd-890fx-rozjede-i-fx-procesory-6978083856
- **!!!** https://aukro.cz/asus-p9x79-deluxe-intel-engineering-sample-q8av-i7-2490x-3960x-6980118152 **!!!**
- **!!!!!** https://aukro.cz/zakladni-deska-cpu-ram-pouzita-plne-funkcni-6980112877 **!!!!!**
#### with quad SLI //VR solution
- [reference](https://pcpartpicker.com/products/motherboard/#h=3,8&sort=price&l=4)
- [reference bez zdurazneni SLI](https://pcpartpicker.com/products/motherboard/#h=3,8&sort=price&L=4&m=8)
##### sorted by SLI capabilites
- 16/16/8/8
- https://www.gigabyte.com/Motherboard/X399-DESIGNARE-EX-rev-10/sp#sp
- CZ
- 12000,-
- https://www.asrock.com/MB/AMD/Fatal1ty%20X399%20Professional%20Gaming/index.asp#Specification
- 16/8/8/8 - socket LGA 2011
-
- ` 4 PCI-E 3.0 x16
2 PCI-E 2.0 x1 (in x4 slot),
,
\*\*\*4 PCI-E3.0x16 slots are running at 16/16/NA/8 or 16/8/8/8\*\*\*
\*\*\*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\*\*\* `
- https://www.senetic.cz/product/MBD-C7X99-OCE-O
- 8000,-
- 16/16/16/16 - socket 2099
- https://www.asus.com/Commercial-Servers-Workstations/Pro-WS-X299-SAGE-II/
- https://www.bhphotovideo.com/c/product/1558809-REG/asus_pro_ws_x299_sage.html
- 13000,-
- https://www.asus.com/us/Motherboards/WS-X299-SAGE/
- https://www.zbozi.cz/hledani/?q=ASUS%20WS%20X299%20SAGE&razeni=nejlevnejsi
- 12000,-