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What use cases is this CPU ideal for? It's not a GPU, so gaming, ML model training, and crypto mining are out.
by mrichman 3y ago
What use cases is this CPU ideal for? It's not a GPU, so gaming, ML model training, and crypto mining are out.
- KiranRao0 3y agoShoving somewhere in a datacenter and virtualizing so that 96 different clients can use it at once.
- cmrdporcupine 3y agoBut ThreadRipper is a workstation-targeted product, not server, isn't it?
- stn8188 3y agoI use my Threadripper for massive electromagnetic simulations for printed circuit boards and packages - I love it!
- Philpax 3y agoCompiling.
- serf 3y agoI like to use my lots-of-cores Xeons for media conversion and 3d rendering, it's nice to see that many cores spin up for SMP workloads.
- pshirshov 3y agoIt's ideal for building big things, like Chromium or AOSP. > not a GPU Well, 3970x is able to soft-render DotA in 4k with 8-11 fps...
- stingraycharles 3y agoI’m using it to still feel productive while working on our massive, TMP-heavy C++ codebase.
- xcv123 3y agoProduction 3D rendering is still done on CPU at VFX studios.
- nineteen999 3y agoExactly, no guarantees that your scene will even fit in GPU VRAM given the complexity of some VFX shots.
- bitwize 3y agoThese things can chew through compiles so fast I/O to disk will be the bottleneck, rather than actual compilation time. Great for Rust hackers.
- mrichman 3y agoThis is the most practical answer I've read thus far. However, I actually code via SSH into AWS EC2, so my local CPU is irrelevant for compiles.
- adzm 3y agoAfter Effects and Ableton will love this one
- hackerlight 3y agoSimulations.
- musicale 3y agoMakes rust development more practical.
- faeriechangling 3y agoAllowing you to plug more GPUs into your motherboard.
- coeneedell 3y agoI’m looking at one for research purposes. Agent based simulation, non-GPU-implementable Ml modeling, large scale data processing. There are a lot of tasks in my work that are greatly sped up by having tons of threads.
- deleted 3y ago[deleted]
- Lockal 3y agoDevelopers will love it. With limited resources nobody tests their code for compatibility: good testing requires an order of magnitude more cores. Test against multiple competing libraries? Compiled with multiple competitive alternative dependencies? Maybe it is also important to test dependencies with various flags? Maybe test in multiple Linux distributions? And then cross-product multiply all possible combinations and get the best result.