Nvidia GPU Ventures

Investor type Venture Capital

Overview

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This summary is composed by our algorithm based on the analysis of the deals. If you think that some of this information is not accurate, please let us know about it and provide any supporting evidences if possible. Such cases will be analyzed by our ML-algorithm and implemented in our database, which will improve this summary.
Total investments 28
Average round size
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The average size of a deal this fund participated in
$24M
Portfolio companies 22
Rounds per year 1.22
Lead investments 7
Follow on index
info
How often the fund supports its portfolio startups at next rounds
0.21
Exits 5
Key employees Soon

Areas of investment

  • Artificial Intelligence
  • Machine Learning
  • Software
  • Analytics
  • Big Data
Summary

The usual cause for the fund is to invest in rounds with 5-6 partakers. Despite the Nvidia GPU Ventures, startups are often financed by Nexus Venture Partners, Walden Venture Capital, Vanedge Capital. The meaningful sponsors for the fund in investment in the same round are Verizon Ventures, Vanedge Capital, Wells Fargo. In the next rounds fund is usually obtained by New Enterprise Associates, Xiaopeng He, Verizon Ventures.

Among the various public portfolio startups of the fund, we may underline TuSimple, Soundhound, WeRide.ai Among the most popular fund investment industries, there are Autonomous Vehicles, Computer Vision. The fund has no specific favorite in a number of founders of portfolio startups. When startup sums 4 of the founder, the probability for it to get the investment is little. Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund.

The average startup value when the investment from Nvidia GPU Ventures is 100-500 millions dollars. The usual things for fund are deals in the range of 10 - 50 millions dollars. The top amount of exits for fund were in 2019. Comparing to the other companies, this Nvidia GPU Ventures performs on 25 percentage points less the average number of lead investments. The top activity for fund was in 2017. The real fund results show that this VC is 10 percentage points more often commits exit comparing to other companies. The fund is generally included in less than 2 deals every year.

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Typical Co-investors
Nvidia GPU Ventures is more likely to invest in rounds together with the following funds:
Funds investing in following rounds
These funds have a tendency to invest in the following rounds after Nvidia GPU Ventures:

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Notable deals

CompanyIndustryRound SizeDateInvestorsLocation

Deepgram

Artificial Intelligence
Audio
Developer APIs
Speech Recognition
$25M03 Feb 2021 San Francisco, California, United States

Deepgram

Artificial Intelligence
Audio
Developer APIs
Speech Recognition
$12M18 Mar 2020 San Francisco, California, United States

Deep Instinct

Artificial Intelligence
Cyber Security
Machine Learning
Network Security
Security
$43M12 Feb 2020 New York, New York, United States

H2O.ai

Analytics
Artificial Intelligence
Big Data
Cloud Computing
Machine Learning
Software
$72M20 Aug 2019 Mountain View, California, United States

DeepMap

Autonomous Vehicles
Computer
Machine Learning
Mapping Services
Software
Transportation
$60M01 Nov 2018 Palo Alto, California, United States

OmniSci

Analytics
Artificial Intelligence
Big Data
Data Visualization
$55M03 Oct 2018 San Francisco, California, United States

Deep Instinct

Artificial Intelligence
Cyber Security
Machine Learning
Network Security
Security
$32M12 Jun 2018 New York, United States

Zebra Medical Vision

Artificial Intelligence
Health Care
Health Diagnostics
Machine Learning
Medical
$30M07 Jun 2018 Israel, North District, Israel

fastdata.io

Big Data
Business Intelligence
Cloud Data Services
Data Mining
Database
GPU
Information Technology
Internet
Predictive Analytics
Software
$5M27 Mar 2018 Santa Monica, California, United States

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