OTOY technology is powering the new G2 GPUs launching today on Amazon EC2 for Windows and Linux.
This is a support and technical Q & A forum for the OTOY Amazon Machine Images.
https://aws.amazon.com/marketplace/sear ... Terms=otoy
ORBX.js and Octane Cloud - in the Amazon Marketplace!
Wow yes! So much win!
I definitely like where this is going
I definitely like where this is going
Last edited by whersmy on Tue Nov 05, 2013 11:15 pm, edited 1 time in total.
Octane 2022.1.1 nv535.98
x201t - gtx580 - egpu ec
Dell G5 - 16GB - dgpu GTX1060 - TB3 egpu @ 1060 / RTX 4090
Octane Render experiments - ♩ ♪ ♫ ♬
x201t - gtx580 - egpu ec
Dell G5 - 16GB - dgpu GTX1060 - TB3 egpu @ 1060 / RTX 4090
Octane Render experiments - ♩ ♪ ♫ ♬
So does this mean that, for instance with the Blender plugin, we point the plugin to an Amazon G2 IP to use one?
Linux Mint 21.3 x64 | Nvidia GTX 980 4GB (displays) RTX 2070 8GB| Intel I7 5820K 3.8 Ghz | 32Gb Memory | Nvidia Driver 535.171
Yes - since the Blender plug-in is IP based, it could work.
Without much effort, you can also run Blender (or any other Windows/Linux) app on the OTOY G2 cloud server directly, and eventually plug-ins included. For this launch, we've re already re-factored Octane SA to boot up automatically inside the AMIs without an individual license - it is usage based. This is something we will do for plug-ins next. With Autodesk applications working inside the Octane AMI, it is technically possible to get usage based plug-ins for Max, Maya, Revit and Inventor up and running.
For users who are not AWS devs, we are setting up the Octane Cloud service (which is built on the same AMIs in the marketplace). It includes fully licensed version of Windows and a turn key service for remote workstation based around the Octane Render pipeline.
Without much effort, you can also run Blender (or any other Windows/Linux) app on the OTOY G2 cloud server directly, and eventually plug-ins included. For this launch, we've re already re-factored Octane SA to boot up automatically inside the AMIs without an individual license - it is usage based. This is something we will do for plug-ins next. With Autodesk applications working inside the Octane AMI, it is technically possible to get usage based plug-ins for Max, Maya, Revit and Inventor up and running.
For users who are not AWS devs, we are setting up the Octane Cloud service (which is built on the same AMIs in the marketplace). It includes fully licensed version of Windows and a turn key service for remote workstation based around the Octane Render pipeline.
Thanks Goldorak! 
Sounds like fun. I'm assuming that eventually you will be able to add more GPU's to the mix?
Sounds like fun. I'm assuming that eventually you will be able to add more GPU's to the mix?Linux Mint 21.3 x64 | Nvidia GTX 980 4GB (displays) RTX 2070 8GB| Intel I7 5820K 3.8 Ghz | 32Gb Memory | Nvidia Driver 535.171
Yes - we're starting with one GPU per instance today, but the whole point of Octane Render Cloud Edition is to use as many GPUs as you want when they are available. The work we did earlier this year which can connect hundreds of GPUs for a single render will be put to use for this.
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p3taoctane
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Now we are starting to cook like hot chocolate : > )
Windows 7 Pro_SP 1_64 bit_48 GB Ram_Intel Xeon X5660 2.80 GHZ x2_6 580GTX_1 Quadra 4800
Is it possible to render on multiple nodes simultaneously at the moment, or is that coming soon? If it is, I think I might be spinning up 10 or so instances today for a test...
Also, I've been doing some research, and it looks like the G2 nodes are about 4/5 of the speed of a GEForce 770 - is that about accurate?
Very excited by this.
Also, I've been doing some research, and it looks like the G2 nodes are about 4/5 of the speed of a GEForce 770 - is that about accurate?
Very excited by this.
I might be wrong but I believe they are using k10 inside =)thenomad wrote: it looks like the G2 nodes are about 4/5 of the speed of a GEForce 770 - is that about accurate?
"G2 instances provide access to NVIDIA GRID GPUs (“Kepler” GK104) each with 1,536 CUDA cores and 4GB of video memory"
(SOURCE: http://aws.amazon.com/ec2/instance-types/)