#blazingsql ผลการค้นหา
Tomorrow morning! The journey begins. I have a notebook ready in Colab and am looking forward to Thinking in Pandas in preparation for major writing. BTW, who do you think would win in #Hekaton vs #BlazingSQL? Could be some interesting blogs #RAPIDSAI apress.com/us/book/978148…
Apache Arrow, RAPIDS, and #BlazingSQL won BOSSIE awards "The best open source software of 2021" infoworld.com/article/363703… 😱
. @blazingsql review: Fast ETL for GPU-based data science by @InfoWorld #BlazingSQL #ETL #GPU #DataScience #SQL #Visualization #MachineLearning #OpenSource #CUDA #ApacheArrow buff.ly/3uruqhj
#BlazingSQL builds on #RAPIDS to distribute #SQL query execution across #GPU clusters, delivering the #ETL for an all-GPU #data science #workflow — by @meheller. trib.al/fnHqXSv
#BlazingSQL review: Fast #ETL for #GPU-based #data science. infoworld.com/article/361018… by @meheller via @InfoWorld
playing with #BlazingSQL these days and loving it
BlazingSQL — The GPU SQL Engine now runs over 20X Faster than Apache Spark! #faster #blazingsql blog.blazingdb.com/blazingsql-the…
This is really awesome anaconda.org/rapidsai/blazi… Thanks a lot @RAPIDSai team!! #BlazingSQL #release
#BlazingSQL installation nightly version doesn't need specific a label anymore, only cudatoolkit version. Example: $ conda install -c blazingsql-nightly -c rapidsai-nightly -c nvidia -c conda-forge -c defaults blazingsql python=3.8 cudatoolkit=10.2
Team gains a 52-fold speedup on the nation’s fastest supercomputer to accelerate COVID-19 research #Rapids #BlazingSQL #GPU #COVID19 olcf.ornl.gov/2020/11/18/mul…
olcf.ornl.gov
Multi-Institutional Team Earns Gordon Bell Special Prize Finalist Nomination for Rapid COVID-19...
One of the biggest challenges of drug discovery lies in the fact that scientists must search through an almost infinite space of chemical compounds to find one that might be capable of interfering...
Mañana a las 5:30pm (UTC-5) será el segundo webinar de #BlazingSQL en "español" con el tema "Procesamiento en Lenguaje Natural (#NLP) con GPUs sobre Documentos de Investigación del Coronavirus". Usando la app gratuita app.blazingsql.com Registro: us02web.zoom.us/webinar/regist…
Mañana martes a las 13 horas Lima (UTC-5) será el primer webinar de #BlazingSQL en "español". Donde se hara una demo: consultas SQL + cuDF (Pandas) y data en #Aws S3. Usando GPU y sin necesidad de instalar algo, solo app.blazingsql.com (free) #DataScience #MachineLearning
BlazingSQL Webinars en español! Este martes (20 Octubre) podrás ver nuestro charla sobre @rapidsai y #BlazingSQL en español. us02web.zoom.us/webinar/regist… Demostramos cómo utilizar datos de la ciudad de Seattle para encontrar opciones de estacionamiento usando SQL y cuDF (Pandas).
In case you missed our webinar yesterday you can check it out on YouTube. youtube.com/watch?v=qmX0H3… Watch @tomekdrabas walk us through an analysis using @rapidsai cuDF and #BlazingSQL to find the perfect parking spot. Scale up from 49M rows to 1.3B rows quickly and easily!
youtube.com
YouTube
ETL with SQL and Dataframes on GPU-Accelerated Data Science
#GTC20 is in full force! Check out how @ORNL is using @nvidia and @rapidsai with #BlazingSQL. A #SQL engine built #supercomputers. TB-Scale queries in seconds running on #Summit, and query time went from days to seconds.
Building an understanding of viruses by mining COVID-19 scientific corpus dlvr.it/RgmRtK #blazingsql #rapidsai #gpucomputing #covid19
V0.15 is out. A ton of work went into this. On the #BlazingSQL side expect better out-of-core memory management and some quality of life features. Check out RAPIDS V0.15 on app.blazingsql.com right now!
Summer is over, @rapidsai is heating up! More functionality changing #DataScience - from cheminformatics to seismic analysis, & more. More scale with new Graph algos, more adoption of RMM (welcome @XGBoostProject), & improved quality of life. Try it today! nvda.ws/3i0EUhD
medium.com
RAPIDS 0.15 Release
See the latest work from the GPU data community and a summary of new functionality in RAPIDS core libraries
SQL over GPU #itSillBeAwesome #BlazingSQL
Describe your software in the most boring way possible I'll start: memcpy over the network
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