Live- Exploring Nvidia RAPIDS- Open GPU Data Science

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Рекомендации по теме
Live- Exploring Nvidia 0:59:50

Live- Exploring Nvidia RAPIDS- Open GPU Data Science

RAPIDS: GPU-Accelerated Data 0:05:07

RAPIDS: GPU-Accelerated Data Analytics & Machine Learning

Introduction To Nvidia 0:16:40

Introduction To Nvidia Rapids- cuDF,cuML Libraries- Run Anything In GPU⭐⭐⭐⭐⭐⭐

#117: Accelerating ML 0:58:13

#117: Accelerating ML with RAPIDS by Nvidia AI

RAPIDS with Plotly 0:02:22

RAPIDS with Plotly Dash : GPU-Accelerated Census 2010 Visualization

PyHEP 2021: Introduction 0:36:19

PyHEP 2021: Introduction to RAPIDS, GPU-accelerated data science libraries

GPU-Accelerated Data Pipelines 0:02:02

GPU-Accelerated Data Pipelines with BlazingDB and RAPIDS

Introduction to RAPIDS 0:10:48

Introduction to RAPIDS

3. Introduction to 0:37:26

3. Introduction to RAPIDS

Accelerating Data Science 0:39:11

Accelerating Data Science with RAPIDS - Keith Kraus

Building and accelerating 0:15:05

Building and accelerating Machine Learning model using RAPIDS

gpuCI - How 0:37:57

gpuCI - How RAPIDS uses an open-source stack with GPUs for CI/CD

XLDB-2019: BlazingSQL & 0:28:28

XLDB-2019: BlazingSQL & RAPIDS AI - A GPU-accelerated end-to-end analytics platform

NVIDIA Rapids 1:20:07

NVIDIA Rapids

State of RAPIDS: 0:56:59

State of RAPIDS: Bridging the GPU Data Science Ecosystem | GTC Digital 2020

RAPIDS for End-to-End 0:05:34

RAPIDS for End-to-End GPU Processing in Machine Learning (4.5)

Dask + RAPIDS 1:29:36

Dask + RAPIDS | Bringing Dask Workloads to GPUs with RAPIDS | Dask Summit 2021

Nvidia's RAPIDS.ai: Massively 0:57:28

Nvidia's RAPIDS.ai: Massively Accelerated Modern Data-Science | AISC

NVIDIA AI Tech 0:26:26

NVIDIA AI Tech Workshop at NeurIPS Expo 2018 - Session 4: Machine Learning with RAPIDS

1. Welcome 0:15:03

1. Welcome

RAPIDS: GPU Accelerated 0:30:58

RAPIDS: GPU Accelerated Data Science (in Japanese)| SciPy Japan 2019 | Akira Naruse

Accelerating Data Science 0:40:33

Accelerating Data Science with RAPIDS - Mike Wendt

RAPIDS and Ursa 0:01:51

RAPIDS and Ursa Labs Partner to Accelerate Data Science

Hyperparameter Optimization (HPO) 0:16:40

Hyperparameter Optimization (HPO) with RAPIDS on Microsoft AzureML and NVIDIA GPUs

Комментарии
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At 43:48, you got stuck with the opening of the Notebook on Github, it happened with me as well. Workaround is to install NB viewer extension in Chrome, so you can open these Notebooks on the cloud without needing to download them! Hope this helps 👍

digidim
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Which laptop should I prefer for python coding and for medium gaming under 70k?

yashghadge
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Hi krish, I know this is out of context, could you please tell me what is the name of your chair, is it good option for work from home, please help

un
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Hi Krish, we need do Factory reset runtime until, required GPU hardware.. because google colab GPU are connect randomly..

shankarraogonti
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It doesn't get installed on Colab anymore. It gives one or other error. Tried several suggestions from SO but all failed including rapids-colab.ipynb provided by Rapid on their own website. It was sheer waste of time to try running it on Colab. If anyone succeeded in recent last one month then please share. Thank you.

rsaran
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Hello sir, have you heard of the Nvidia Jetson Nano?

blackblather
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i am not getting p100 can anyone help. I have reset the runtime. Make a copy but still not getting other than P80

ShubhamSharma-tzgv
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Can you talk a bit about code plagiarism please

RougeSam