From 7800b46ec5506b683d4b9451e2f8e23056f7731c Mon Sep 17 00:00:00 2001 From: sdbs Terra Date: Mon, 18 Jan 2021 23:34:38 +0100 Subject: [PATCH] Automatic update, changed: projects.feedfarm.md --- pages/projects.feedfarm.hardware.GTX1080TI.md | 16 +++++ pages/projects.feedfarm.md | 69 ++----------------- pages/projects.feedfarm.questions.md | 48 +++++++++++++ 3 files changed, 71 insertions(+), 62 deletions(-) create mode 100644 pages/projects.feedfarm.hardware.GTX1080TI.md create mode 100644 pages/projects.feedfarm.questions.md diff --git a/pages/projects.feedfarm.hardware.GTX1080TI.md b/pages/projects.feedfarm.hardware.GTX1080TI.md new file mode 100644 index 0000000..28f4889 --- /dev/null +++ b/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 \ No newline at end of file diff --git a/pages/projects.feedfarm.md b/pages/projects.feedfarm.md index a2bc9c0..6078c47 100755 --- a/pages/projects.feedfarm.md +++ b/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? -- bitcoin? [[ethereum]] ? +- [[ethereum]] +- pools + - ethermine + - peerideo ??????? ??????? ??????? diff --git a/pages/projects.feedfarm.questions.md b/pages/projects.feedfarm.questions.md new file mode 100644 index 0000000..9f8687d --- /dev/null +++ b/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/