Excited to be (virtually) back at #GTC23! Join me for a deep dive into concurrent #CUDA code with stream-ordered allocation. Learn how to avoid common pitfalls and achieve safe, lightning-fast performance. C++ examples included! Register now: https://t.co/P28nCOGT30
Everyone knows GPUs speed up ML training but did you know they can also turbocharge your analytics workflow? Our friends from @nvidia explain how to get started with @RAPIDSai cuDF.
https://t.co/hixDWh44Lp
@ibesora@bolosig@CARTO@nvidia I just pushed some updates to download the datasets + instructions for running the demos (needs Ubuntu20.04+ and an NVIDIA GPU)
@bolosig@ibesora@CARTO@nvidia I put the code up on GitHub here: https://t.co/brvitkec9O, and will post links to data sources when I get a chance (on vacation now)
Kicking off part 2 of #openvizsummit22 we have @inlineptx giving us a great live demo of GPU-accelerated Geospatial Analytics with @nvidia RAPIDS, working with less common #geospatial formats like CSVs, parquet and torque 🤩
1B Uint32 values loaded from CPU RAM to GPU RAM in 235ms (17GB/s) while sharing my PCIe 4.0 bus (64GB/s) with three other VMs. Nice! Many thanks to @inlineptx for his help. @NVIDIA rocks!
I had to pleasure of having @coding_matt intern with us on the @RAPIDSai Viz team this last year. Check out his blog post detailing one of neat things he helped us with for @nodejs + RAPIDS - https://t.co/Iqpb9Q6uwb
@Symbo1ics@nodename I'm sure the scientists at ANL would love to hear how they didn't factor in mining and manufacturing costs in their analysis where they explicitly did just that.
@sxaTech@exactlyAllan The libraries do run on Jetson, but I haven't built the containers from the jetpack base images in the last few months. Possible a few x86-only dependencies slipped in w/ addition of NVENC WebRTC and SQL libs.
Take time to check out the talk @exactlyAllan will give today!! Did you know we have RAPIDS Node.js? If you did, do you want to know great ways to put it to use? The talk is free! And check out his blog post https://t.co/PyNuK2fkvg