Log in
E-mail
Password
Remember
Forgot password ?
Become a member for free
Sign up
Sign up
New member
Sign up for FREE
New customer
Discover our services
Settings
Settings
Dynamic quotes 
OFFON

MarketScreener Homepage  >  Equities  >  Nasdaq  >  Microsoft Corporation    MSFT

MICROSOFT CORPORATION

(MSFT)
  Report
Real-time Estimate Quote. Real-time Estimate Cboe BZX - 12/01 05:04:24 pm
216 USD   +0.90%
04:41pSalesforce Confirms Deal to Buy Slack for $27.7 Billion
DJ
04:40pBox Inc beats quarterly sales estimates
RE
04:21pMICROSOFT : GitHub to the rescue for developers facing ‘too many options'
PU
SummaryQuotesChartsNewsRatingsCalendarCompanyFinancialsConsensusRevisions 
SummaryMost relevantAll NewsPress ReleasesOfficial PublicationsSector newsMarketScreener StrategiesAnalyst Recommendations

Microsoft : New integrations from Microsoft and NVIDIA unlock GPU acceleration for devs and data scientists

03/20/2019 | 01:16pm EST

With ever-increasing data volume and latency requirements, GPUs have become an indispensable tool for doing machine learning (ML) at scale. This week, we are excited to announce two integrations that Microsoft and NVIDIA have built together to unlock industry-leading GPU acceleration for more developers and data scientists.

  • Azure Machine Learning service is the first major cloud ML service to integrate RAPIDS, an open source software library from NVIDIA that allows traditional machine learning practitioners to easily accelerate their pipelines with NVIDIA GPUs
  • ONNX Runtime has integrated the NVIDIA TensorRT acceleration library, enabling deep learning practitioners to achieve lightning-fast inferencing regardless of their choice of framework.

These integrations build on an already-rich infusion of NVIDIA GPU technology on Azure to speed up the entire ML pipeline.

'NVIDIA and Microsoft are committed to accelerating the end-to-end data science pipeline for developers and data scientists regardless of their choice of framework,' says Kari Briski, Senior Director of Product Management for Accelerated Computing Software at NVIDIA. 'By integrating NVIDIA TensorRT with ONNX Runtime and RAPIDS with Azure Machine Learning service, we've made it easier for machine learning practitioners to leverage NVIDIA GPUs across their data science workflows.'

Azure Machine Learning service integration with NVIDIA RAPIDS

Azure Machine Learning service is the first major cloud ML service to integrate RAPIDS, providing up to 20x speedup for traditional machine learning pipelines. RAPIDS is a suite of libraries built on NVIDIA CUDA for doing GPU-accelerated machine learning, enabling faster data preparation and model training. RAPIDS dramatically accelerates common data science tasks by leveraging the power of NVIDIA GPUs.

Exposed on Azure Machine Learning service as a simple Jupyter Notebook, RAPIDS uses NVIDIA CUDA for high-performance GPU execution, exposing GPU parallelism and high memory bandwidth through a user-friendly Python interface. It includes a dataframe library called cuDF which will be familiar to Pandas users, as well as an ML library called cuML that provides GPU versions of all machine learning algorithms available in Scikit-learn. And with DASK, RAPIDS can take advantage of multi-node, multi-GPU configurations on Azure.

Learn more about RAPIDS on Azure Machine Learning service or attend the RAPIDS on Azure session at NVIDIA GTC.

ONNX Runtime integration with NVIDIA TensorRT in preview

We are excited to open source the preview of the NVIDIA TensorRT execution provider in ONNX Runtime. With this release, we are taking another step towards open and interoperable AI by enabling developers to easily leverage industry-leading GPU acceleration regardless of their choice of framework. Developers can now tap into the power of TensorRT through ONNX Runtime to accelerate inferencing of ONNX models, which can be exported or converted from PyTorch, TensorFlow, MXNet and many other popular frameworks. Today, ONNX Runtime powers core scenarios that serve billions of users in Bing, Office, and more.

With the TensorRT execution provider, ONNX Runtime delivers better inferencing performance on the same hardware compared to generic GPU acceleration. We have seen up to 2X improved performance using the TensorRT execution provider on internal workloads from Bing MultiMedia services.

To learn more, check out our in-depth blog on the ONNX Runtime and TensorRT integration or attend the ONNX session at NVIDIA GTC.

Accelerating machine learning for all

Our collaboration with NVIDIA marks another milestone in our venture to help developers and data scientists deliver innovation faster. We are committed to accelerating the productivity of all machine learning practitioners regardless of their choice of framework, tool, and application. We hope these new integrations make it easier to drive AI innovation and strongly encourage the community to try it out. Looking forward to your feedback!

Disclaimer

Microsoft Corporation published this content on 20 March 2019 and is solely responsible for the information contained herein. Distributed by Public, unedited and unaltered, on 20 March 2019 18:14:07 UTC


© Publicnow 2019
All news about MICROSOFT CORPORATION
04:41pSalesforce Confirms Deal to Buy Slack for $27.7 Billion
DJ
04:40pBox Inc beats quarterly sales estimates
RE
04:21pMICROSOFT : GitHub to the rescue for developers facing ‘too many options'
PU
04:13pMICROSOFT : Salesforce to buy workplace app Slack in $27.7 bln deal
RE
04:13pMICROSOFT : Attend Dec. 3 online event to explore how data and analytics will im..
PU
04:13pMICROSOFT : New ways to experience sports, music and entertainment
PU
04:06pMICROSOFT : Salesforce to buy workplace app Slack in $27.7 bln deal
RE
02:21pMICROSOFT : The teamwork behind BBC's Beeb, the world's first public service voi..
PU
02:19p‘ALL HANDS ON DECK' : How Duke University and AI for Health raced to creat..
PU
02:15pAmazon Is Beefing Up Its Cloud Call-Center Tools as More Customer-Support Sta..
DJ
More news
Financials (USD)
Sales 2021 158 B - -
Net income 2021 51 344 M - -
Net cash 2021 76 102 M - -
P/E ratio 2021 32,0x
Yield 2021 1,01%
Capitalization 1 635 B 1 635 B -
EV / Sales 2021 9,86x
EV / Sales 2022 8,81x
Nbr of Employees 163 000
Free-Float 99,9%
Chart MICROSOFT CORPORATION
Duration : Period :
Microsoft Corporation Technical Analysis Chart | MSFT | US5949181045 | MarketScreener
Technical analysis trends MICROSOFT CORPORATION
Short TermMid-TermLong Term
TrendsNeutralNeutralBullish
Income Statement Evolution
Consensus
Sell
Buy
Mean consensus BUY
Number of Analysts 39
Average target price 242,47 $
Last Close Price 216,21 $
Spread / Highest target 28,6%
Spread / Average Target 12,1%
Spread / Lowest Target -16,7%
EPS Revisions
Managers
NameTitle
Satya Nadella Chief Executive Officer & Non-Independent Director
Bradford L. Smith President & Chief Legal Officer
John Wendell Thompson Independent Chairman
Kirk Koenigsbauer COO & VP-Experiences & Devices Group
Amy E. Hood Chief Financial Officer & Executive Vice President
Sector and Competitors
1st jan.Capitalization (M$)
MICROSOFT CORPORATION36.48%1 618 475
ZOOM VIDEO COMMUNICATIONS, INC.603.06%136 056
SEA LIMITED348.46%89 096
ATLASSIAN CORPORATION PLC87.01%56 083
DASSAULT SYSTÈMES SE5.80%48 312
SYNOPSYS INC.63.43%34 526