NVIDIA Doubles Down On IA Volta GPUs and Invests In Three Data Science Companies
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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
Tags: Technology, Nvidia, AI, Nvidia ai, ai gpu, gpu for ai, nvidia investments, nvidia finance, finances nvidia, nvidia startup