GPU Data Scientist @gpudatascience
Sharing #GPU #DataScience #BigData #OpenSource #MachineLearning #GPUComputing #DataAnalytics #Distributed tweets & etc.. I find interesting. Amsterdam Joined December 2019-
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Check out this new #tutorial from @marlene_zw to learn how to run @RAPIDSai on @Microsoft @Windows 10 using #WSL2 - a feature that allows you to run your favorite Linux software, including @nvidia #CUDA, on Windows. bit.ly/3fsnElB
Use @PrometheusIO and @grafana to instrument your @RAPIDSai @dask_dev deployments and monitor how your workflows are performing on your systems. medium.com/rapids-ai/moni…
TPS April 2021 @kaggle competition - @RAPIDSai tSNE and UMAP dimensionality reduction and visualizations. kaggle.com/tunguz/tps-apr…
Nice, @RAPIDSai cuML has scikit-learn compatible preprocessing graduating out of experimental incubator namespace in next release, 0.19 (30 mins into their #GTC21 talk gtc21.event.nvidia.com/media/The%20St…) ✍️ Current docs here: docs.rapids.ai/api/cuml/stabl… 💾 Sneak preview: github.com/rapidsai/cuml/…
Deploying ML models on GPU at scale? Interested in how NLP can solve real-world cybersecurity challenges? Splunk's Applied Research + NVIDIA just co-authored a blog just for you: splunk.com/en_us/blog/it/…
We are growing beyond the #Pandas API. @RAPIDSai #cuDF v0.19 introduces improved support for nested types such as lists and structs. Segmented sort up to 35x faster with cuDF on #GPUs! medium.com/rapids-ai/look…
All 1.8M papers in arXiv - title + abstract embedded with SPECTER (@ai2_allennlp) -> UMAP (@RAPIDSai). Colored by the year of the "update" date, which I think roughly maps to the original upload date.
Check out part 2 blog @NASA researcher Christoph Keller and @nvidia's Zahra Ronaghi are monitoring the impact and decline of air pollution during the COVID-19 pandemic using @RAPIDSai: nvda.ws/3amHbCj
Much of the scikit-image API is now available for use with GPUs. Read our partner post with @nvidia from Gigon Bae (NVIDIA) and Gregory R. Lee (Quansight). quansight.com/post/performan… #DataScience #pythonprogramming #science #dataviz
🏅 At #TiDB Hackathon 2020, a team won two medals by using #GPU acceleration techniques to improve the performance of #CPUintensive analytical query processing. They improved performance by 10x~150x. 📈 Learn how they made it: hubs.ly/H0Ls_nM0
eventbrite.com/e/graph-neural… Join us tomorrow for our 4th GNN user group free. #MachineLearning #graph #deeplearning @RAPIDSai
Learn how we're fuzz testing @RAPIDSai #cuDF IO readers and writers with randomly generated data and parameters to catch bugs and improve reliability. medium.com/rapids-ai/maki…
This has been awesome work spearheaded by @premsagar_rs1 and has really helped us to hammer on some of the most complex pieces of code in libcudf.
This has been awesome work spearheaded by @premsagar_rs1 and has really helped us to hammer on some of the most complex pieces of code in libcudf.
Find out why @RAPIDSai is "pretty much amazing" for end-to-end data analytics in this new overview & tutorial from @Krishnaik06: youtube.com/watch?v=sKhhb6… 🔥 #datascience #DataAnalytics
#cybersecurity workflows need to flag malicious traffic as close to the event as possible. See an 11x speed-up by switching your streaming inference pipeline to @RAPIDSai cuStreamz & FIL on #GPU. Process +1M connection logs/s and mitigate attacks quickly. bit.ly/3bCAI6F
Our partners who use @dask_dev and @RAPIDSai will be at #DaskSummit2021 this week. Learn more about sessions from @googlecloud, @Walmarttech, @CapitalOne, and @plotlygraphs: nvda.ws/33LOHmg
See how to dramatically speed up compute processes for data engineering and #MachineLearning workloads using @RAPIDSai and @cloudera Machine Learning (CML). blog.cloudera.com/nvidia-rapids-…
BlazingSQL now running on another TOP5 supercomputer, @nvidia #Selene. Check out how BlazingSQL processed 30 use cases 10TB in a matter of minutes. Turn a DGX A100 into a #SQL and @RAPIDSai #datascience powerhouse to process terabytes of raw files in seconds.
BlazingSQL now running on another TOP5 supercomputer, @nvidia #Selene. Check out how BlazingSQL processed 30 use cases 10TB in a matter of minutes. Turn a DGX A100 into a #SQL and @RAPIDSai #datascience powerhouse to process terabytes of raw files in seconds.
Building #ML models too slow? Check out the latest blog series by @tomekdrabas from @blazingsql on how to accelerate #GPU Machine Learning with @RAPIDSai #cuML from @NVIDIAAI: nvda.ws/3cVIDfp
@RAPIDSai uses @dask_dev to scale workloads to large @NVIDIAAI #GPU clusters. In this webinar, @_JacobTomlinson will showcase how this is done! Join us on Tuesday (3/30) at 11 AM PDT to learn how! Sign up now: bit.ly/0330BSQLTW Hands-on with T4 #GPU from @blazingsql!
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