Automatic update, changed: projects.feedfarm.md

pages/projects.feedfarm.hardware.GTX1080TI.md

@@ -0,0 +1,16 @@
+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

pages/projects.feedfarm.md

@@ -8,65 +8,6 @@ rendering X learning X mining
 ### 3/ [coins](projects.feedfarm.md#coins) _?_
 
 
-## GeForce 
-
-
-## 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. It’s 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)
-
-- [ SLI in gamemachine](https://www.quora.com/Is-SLI-worth-it-in-a-gaming-machine)
-- SLI and nvidia quadro?
-
-- [ SLI and machine learning]
-	- https://www.mathworks.com/matlabcentral/answers/482171-can-i-ues-nvidia-gpu-sli-bridges-for-better-deep-learning-performance
-### VRam share?
-
-- is it possible?
-	- --> seems not possible ---> 11GB
-
-### 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/ 
-
-##### !!
-https://timdettmers.com/2020/09/07/which-gpu-for-deep-learning/
-https://timdettmers.com/2018/12/16/deep-learning-hardware-guide/
-
-----
-https://www.reddit.com/r/buildapc/comments/inqpo5/multigpu_seven_rtx_3090_workstation_possible/
-
-
-## 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/
@@ -76,13 +17,15 @@ https://www.reddit.com/r/buildapc/comments/inqpo5/multigpu_seven_rtx_3090_workst
 - [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)
 
+### blender
 
 ## 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?
@@ -105,8 +48,10 @@ EASYTOGO
 - https://runwayml.com/
 
 ## coins
-- Efektivni vs. efektni?
+- [[ethereum]] 
-- bitcoin? [[ethereum]] ?
+- pools
+	- ethermine
+	- peerideo
 
 ???????		???????
 ???????		

pages/projects.feedfarm.questions.md

@@ -0,0 +1,48 @@
+## 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. It’s 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)
+
+- [ SLI in gamemachine](https://www.quora.com/Is-SLI-worth-it-in-a-gaming-machine)
+- SLI and nvidia quadro?
+
+- [ SLI and machine learning]
+	- https://www.mathworks.com/matlabcentral/answers/482171-can-i-ues-nvidia-gpu-sli-bridges-for-better-deep-learning-performance
+### VRam share?
+
+- is it possible?
+	- --> seems not possible ---> 11GB
+
+### 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/ 
+
+##### !!
+https://timdettmers.com/2020/09/07/which-gpu-for-deep-learning/
+https://timdettmers.com/2018/12/16/deep-learning-hardware-guide/
+
+----
+https://www.reddit.com/r/buildapc/comments/inqpo5/multigpu_seven_rtx_3090_workstation_possible/