My last NAS drive was the NetGear Stora [eons ago], and with all the changes in technology, drive space, 4k transcoding, plex, VM support l was due for an upgrade.
Enter the Synology NAS DS918+ which l settled for after lots of research over the QNap equivalent.
Below are some pictures and notes.Started off with just one 6Tb Seagate Barracuda Pro 128Mb cache 7200rpm drive that was on sale on amazon prime day.
Note, the transfer speed from external USB [WD 4TB external] into the NAS is about 55-68Mbs, if the External isnt accessible on the file station, you might need to reboot the NAS
For somereason l could not get it to see the contents of my Sandisk ExtremeSSD for quick copy into the NAS via the USB ports it came with, but it did see the contents of my WD External 4Tb usb drive.
This home/business NAS does offer a lot of applications – including:
- Plex [ one core app l need]
- VM hosting – OS independent, you can run Windows VM, Linux VM etc
- drupal, github, wordpress, apache etc
- Streaming media – photos, videos, documents work great – on all my PC’s, Samsung TV, PS3, XBoxOne, wireless devices on my internal home network etc.
Its really impressive how a modern day NAS is now a dedicated Linux machine with webhosting, network security, antivirus apps etc.
Screen shots as l added 2 x 3Tb drives and mirrored them, and an additional 1Tb drive l had
Tried out the latest versions of Adobe Creative cloud – CC, and l must say l am impressed over the new features and capabilities compared to the former Photoshop CS6, Lightroom etc.
Had about 16Gb 7800 files of HD/UHD pictures and videos from a recent vacation, using 3 cameras – 7DM2, Sony A7 and for UHD 4K videos the Panasonic Lumix G85 – Unfortunately l could not get Adobe CS6 Photoshop using Camera Raw 9.x.x to accept the Lumix RW2 [I only shoot pictures in RAW] images, and using the versatile Adobe DNG converter – which works – was a workflow step l didnt want to go through.
Solution, l downloaded a trial version of Adobe CC Photoshop, which came witht he laterst Camera Raw 10.x.x and both Photoshop/Lightroom opened and processed all Lumix files seamlessly.
Some HDR pictures – click here.
Final space cost and rendered frame one, as of 5/29 6am [frame 0 rendered in 2.5 mins]
After 60 frames l got….
Some Log entries:
28-May-2018 23h12m33s COMPLETE Update Marker Particle Velocities
28-May-2018 23h12m33s BEGIN Delete Saved Velocity Field
28-May-2018 23h12m33s COMPLETE Delete Saved Velocity Field
28-May-2018 23h12m33s BEGIN Advect Marker Particles
28-May-2018 23h12m55s COMPLETE Advect Marker Particles
28-May-2018 23h12m55s BEGIN Update Fluid Objects
28-May-2018 23h12m55s COMPLETE Update Fluid Objects
*** Time Step Stats ***
Fluid Particles: 48044598
Fluid Cells: 7162540
Diffuse Particles: 11995192
Pressure Solver Iterations: 185
Estimated Error: 3.84183e-007
Step Update Time: 161.546
*** Frame Timing Stats ***
Update Obstacle Objects 0.000s 0.0% |
Update Liquid Level Set 38.922s 5.4% ||||
Advect Velocity Field 84.487s 11.6% |||||||
Save Velocity Field 2.262s 0.3% |
Calculate Surface Curvature 99.262s 13.6% |||||||||
Apply Body Forces 0.573s 0.1% |
Apply Viscosity 0.000s 0.0% |
Solve Pressure System 200.169s 27.5% |||||||||||||||||
Constrain Velocity Fields 4.435s 0.6% |
Simulate Diffuse Material 73.749s 10.1% |||||||
Update Marker Particle Velocities 38.413s 5.3% ||||
Delete Saved Velocity Field 0.088s 0.0% |
Advance Marker Particles 63.663s 8.8% ||||||
Update Fluid Objects 0.000s 0.0% |
Output Simulation Data 1.887s 0.3% |
Generate Surface Mesh 119.589s 16.4% ||||||||||
Frame Time: 727.5
Total Time: 161269
So far l have only been able to render up to 149 frames, then l get a cuda out of memory crash. I use both a GTX970 with 4Gb and a GTX1080 with 8Gb, l’ve tried with both and with each cards. Will keep you updated, meanwhile heres a render of the 149 frames
Updating to the latest cuda development toolkit on Linuxmint 18.1 [with a GTX 1080+970]
First, update to R390 Driver
sudo dpkg -i cuda-repo-ubuntu1704-9-1-local_9.1.85-1_amd64.deb
sudo apt-key add /var/cuda-repo-9-1-local/7fa2af80.pub
sudo apt-get update
sudo apt-get install cuda