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New Post has been published on https://www.ultragamerz.com/nvidia-doubles-down-on-ia-volta-gpus-and-invests-in-three-data-science-companies/

NVIDIA Doubles Down On IA Volta GPUs and Invests In Three Data Science Companies 

NVIDIA Doubles Down On IA Volta GPUs and Invests In Three Data Science Companies

Nvidia investments BlazingDB Graphistry H2O-ai  Credit  by NVIDIA

It has been a while that Pascal GPUs has got to the end of its roadmap and NVIDIA is Continuing focusing on Volta graphics for datacenters and AI. NVIDIA has been working on very strong campaign for AI startup ecosystem with investing in many companies. The New three companies that Nvidia recently targeted are all advancing GPU-accelerated based data science studies and projects. Nvidia is investing in BlazingDB, an SQL data warehouse; Graphistry, a visual analysis data company; and H2O.ai, an open-source AI platform. Before these three new companies and recently, Nvidia invested in other companies like : Optimus Ride – MIT spinoff developing fully autonomous vehicles, SoundHound – Silicon Valley startup building voice-enabled AI solutions, TempoQuest – Colorado startup doing GPU-accelerated weather forecasting, TuSimple – Chinese autonomous truck startup, Zebra Medical – Israeli startup using AI to read medical images. These three New Artificial intelligence IA startups, all are based in the U.S. BlazingDB uses GPUs streaming and coda processing to expedite the process of parsing through large loads of data. BlazingDB founded in 2015. BlazingDB built a GPU-accelerated SQL analytics engine to analyze data already implemented in enterprise organizations. Graphistry streamlines data investigations by combining GPUs with visual tools. Graphistry Founded by two former UC Berkeley students in 2014, Graphistry uses GPU-accelerated visual analytics and GPU based cloud technology to increase data scale and reliability for developers and analysts. H2O.ai wants to create AI adoption with more efficiency by providing an accelerated machine learning AML engine to enterprises and developers. H2O.ai was originally Founded in 2011, it launched Driverless AI earlier this year, making it easier for non-technical users to implement AI.

“AI is fundamentally changing how we interact with data,” said Jeff Herbst, vice president of business development at NVIDIA.

“These three companies are all rising stars in the data science industry. Their enthusiastic participation in the GOAI open source ecosystem will be instrumental to their ultimate success.” said Jeff Herbst.

These are all the investments by NVIDIA’s expanding startup portfolio, Nvidia added more than 10 companies in five countries in 2017 only.

ABEJA – Tokyo startup focused on AI-powered retail analytics systems

Datalogue – New York AI data-mining platform developed out of Cornell University

Deep Instinct – Israeli startup focused on cybersecurity

Element AI – Montreal startup helps companies quickly integrate AI capabilities

Fastdata.io – California startup offering streaming analytics software

JingChi – Chinese self-driving startup developing an autonomous Uber-like service

Optimus Ride – MIT spinoff developing fully autonomous vehicles

SoundHound – Silicon Valley startup building voice-enabled AI solutions

TempoQuest – Colorado startup doing GPU-accelerated weather forecasting

TuSimple – Chinese autonomous truck startup

Zebra Medical – Israeli startup using AI to read medical images

New Post has been published on https://www.ultragamerz.com/nvidia-invests-in-three-data-science-companies-for-its-ai-startup-portfolio/

NVIDIA Invests In Three Data Science Companies For Its Volta AI Startup Portfolio

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NVIDIA Invests In Three Data Science Companies For Its AI Startup Portfolio

NVIDIA Continuing its strong support campaign of  AI startup ecosystem with investing in three companies that are advancing GPU-accelerated data science. Acting through its NVIDIA GPU Ventures arm, Nvidia is investing in BlazingDB, an SQL data warehouse; Graphistry, a visual analysis data company; and H2O.ai, an open-source AI platform. These three Artificial intelligence IA startups, all are based in the U.S., to join NVIDIA’s increasing support of the GPU Open Analytics Initiative (GOAI), which was formed to foster the growth of GPU computing in accelerated analytics. BlazingDB uses GPUs streaming and coda processing to expedite the process of parsing through large loads of data. BlazingDB founded in 2015. BlazingDB built a GPU-accelerated SQL analytics engine to analyze data already implemented in enterprise organizations. Graphistry streamlines data investigations by combining GPUs with visual tools. Graphistry Founded by two former UC Berkeley students in 2014, Graphistry uses GPU-accelerated visual analytics and GPU based cloud technology to increase data scale and reliability for developers and analysts. H2O.ai wants to create AI adoption with more efficiency by providing an accelerated machine learning AML engine to enterprises and developers. H2O.ai was originally Founded in 2011, it launched Driverless AI earlier this year, making it easier for non-technical users to implement AI.

“AI is fundamentally changing how we interact with data,” said Jeff Herbst, vice president of business development at NVIDIA.

“These three companies are all rising stars in the data science industry. Their enthusiastic participation in the GOAI open source ecosystem will be instrumental to their ultimate success.” said Jeff Herbst.

Nvidia investments BlazingDB Graphistry H2O-ai Credit by NVIDIA

These are all the investments by NVIDIA’s expanding startup portfolio, Nvidia added more than 10 companies in five countries in 2017 only.

ABEJA – Tokyo startup focused on AI-powered retail analytics systems

Datalogue – New York AI data-mining platform developed out of Cornell University

Deep Instinct – Israeli startup focused on cybersecurity

Element AI – Montreal startup helps companies quickly integrate AI capabilities

Fastdata.io – California startup offering streaming analytics software

JingChi – Chinese self-driving startup developing an autonomous Uber-like service

Optimus Ride – MIT spinoff developing fully autonomous vehicles

SoundHound – Silicon Valley startup building voice-enabled AI solutions

TempoQuest – Colorado startup doing GPU-accelerated weather forecasting

TuSimple – Chinese autonomous truck startup

Zebra Medical – Israeli startup using AI to read medical images