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Everything posted by lukeiamyourfather

  1. Hair generation can take a while upfront depending on the settings. My guess is your hair settings are too aggressive (like the density).
  2. A lot has changed coming from AMD since the FX days. That was five years ago which is a significant amount of time in the world of computers.
  3. I'm assuming you mean the Core i7-7700K because there is no 1700K. The Ryzen 1700X will render faster and provide better bang for the buck in every regard. The only reason I'd go with Intel for a low budget workstation is if more than 64GB of memory is needed (Intel socket 2011-3 platform has eight instead of four memory slots).
  4. You can make a symbolic link to another location. https://www.cyberciti.biz/faq/creating-soft-link-or-symbolic-link/ For example a symbolic link in your home that points to something in the /media folder.
  5. Most of the memory I've purchased has come from either Samsung or Crucial. Both have very good support. I'd go with the least expensive module from one of those manufacturers at the speed and capacity you're looking for (sometimes multiple individual modules are cheaper than kits). Heat spreaders, temperature aware LED lighting, and other cosmetic features are just marketing wank. They'll perform the same with or without the nonsense features.
  6. If you can deal with 64GB of memory maximum then this is a build that offers very good value. I recommend memory from anyone that isn't G.Skill because their support is basically nonexistent.
  7. What the... I almost fell out of my chair laughing at this one (not my video).
  8. What you have is fine to start with. The Ryzen processor will be a good upgrade. If you can swing it go for 32GB of memory on the next upgrade.
  9. What are you working with right now? Do you have a budget in mind?
  10. I've had similar issues where memory modules have gone bad over time. The difference is with ECC you just query the operating system about how many errors have been corrected on each DIMM (or how many uncorrectable errors have been detected) and replace the ones with orders of magnitude more errors. Meanwhile nothing you're working on gets corrupted or crashes because of memory corruption. That's worth the extra money to me!
  11. Almost all of the socket 2011-3 motherboards support 128GB of memory (even if the specs still say 64GB from pre-16GB module days). What to look for is the number of memory slots. Most of the socket 2011-3 boards have eight memory slots which is enough for 128GB of memory with 16GB modules. Some of them like the microATX boards have fewer memory slots like four or two.
  12. Xeon processors support ECC memory and non-ECC memory. The overwhelming majority of Xeon machines are equipped with ECC memory because the cost difference between ECC and non-ECC is minimal compared to the investment of the rest of the machine and the benefits are pretty big in the long run. Core i7 processors support only non-ECC memory. There are a few Celeron and other random processors that support ECC memory but for the most part it's Xeon. A machine can work "fine" with 128GB of non-ECC memory but it's one less thing to worry about and go wrong. This is an interesting read. http://perspectives.mvdirona.com/2009/10/you-really-do-need-ecc-memory/
  13. I'm running 128GB of ECC memory on a gaming board with a Xeon at home. I don't know that I'd try to use 128GB of memory that wasn't ECC.
  14. Some objects are difficult or impractical to model and using maps are the only practical way to create them. Coins are one example I've run into recently. Modeling a quarter with George Washington on the front would be really impractical and it would take a very long time but some photographs of a quarter and an application like AwesomeBump make it practical and pretty quick.
  15. boolean

    The NURB cap wasn't lining up with the rest of the tube. NURBS are good for some stuff and not for others. The polygon cap matched the rest of the geometry perfectly.
  16. boolean

    I did the cap after the convert to polygon plus a fuse. It works after that. screw_fixed.hipnc
  17. Is that documented somewhere? Does that include Linux and not just Windows? Asking because the evidence would seem to indicate otherwise. I'm curious is all, not flinging poo.
  18. There's a driver from Intel for using OpenCL on Xeon processors. Most Linux distributions don't have this in their repositories nor is it part of the kernel at this point. https://software.intel.com/en-us/articles/opencl-drivers#latest_linux_driver
  19. What hardware is used on the farm? What operating system?
  20. In a typical production Python is everywhere. Not everyone has to know Python but someone has to know Python. As scenes become more complex the likelihood of them needing Python (or at least benefiting from Python) grows exponentially. It could be simple stuff like changing hundreds of parameters with a few lines of Python or it could be something much more complex like automation of processes and adding intelligence to artist tools. If you find yourself waiting on things or have downtime I'd start learning Python.
  21. The CPU benchmark shows them with varying performance. The OpenCL benchmark shows them as all being similar but this is to be expected as the OpenCL benchmark uses the GPU, not the CPU. So if all three were tested with the same GPU they should all come out roughly the same.
  22. I would go with a ThinkPad P50 if you absolutely must have a laptop (up to 64GB of memory and Xeon processor option). I wouldn't go with a Mac for Houdini under any circumstances. Apple and their "pro" nomenclature is a farce, 16GB is simply not enough and you can't upgrade it. Don't bother with a laptop unless you have no choice in the matter because you're throwing money out the window for mediocre performance and limited scalability.
  23. Exactly what Mark said. The extra PCI Express lanes are also going to be useful for high performance storage clusters with NVMe arrays or machines with tons of drives like ZFS. All around it's going to be a very useful platform in CGI production if the pricing is competitive.
  24. Yes, the GTX 1060 is supported in Linux. If possible pick a distribution with a repository that hosts the Nvidia drivers and associated DKMS configurations. One example is Ubuntu, they do a good job with the proprietary Nvidia drivers. https://help.ubuntu.com/community/BinaryDriverHowto/Nvidia A common stumbling block for users new to Linux is to download drivers from a manufacturer and try to install them. This is what you do in Windows. This is not what you do in Linux (unless you hate yourself and want to have a miserable day when the kernel updates and kills your drivers). Only install software provided by the repositories unless there's a good reason like the software isn't available in a repository like Houdini.
  25. Naples is targeting supercomputing and massively parallel applications (Mantra and other renderers are definitely in this category). It will be especially useful for OpenCL and CUDA with 128 PCI Express lanes, that's crazy. The Xeon E5-2600 series has 40 PCI Express lanes. It may or may not make a good workstation platform depending on how much stuff you do that relies on a single processor core. These days that's less and less common but there are some applications that lag in various areas. It will likely make a good render node and simulation node if their pricing is competitive like the Ryzen products.