SambaNova Systems Stock
SambaNova Systems builds AI hardware and integrated systems to run AI applications from the data center to the cloud.
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About SambaNova Systems Stock
SambaNova Systems is a computing startup focused on building machine learning and big data analytics platforms. SambaNova Systems builds AI hardware and integrated systems to run AI applications from the data center to the cloud. The company's software-defined analytics platform aims to optimize performance for ML training, inference, and analytics models.
SambaNova Systems was founded in 2017 by Rodrigo Liang, Kunle Olukotun, and Christopher RĂ©. The company is headquartered in Palo Alto, California. Notable investors include SoftBank Vision Fund 2, BlackRock, and Intel Capital.
Investors
BlackRock
Databricks, Rivian, Relativity Space, View, Carbon Health, Scopely, Snyk, Jawbone, MessageBird, DataRobot
Walden International
Intel Capital
One97, DataRobot, SambaNova Systems, DocuSign, Joby Aviation, MongoDB, Sprinklr, Synthego, Vectra, SiFive
GV
Uber, Robinhood, Jet, Impossible Foods, Lacework, Slack, Snyk, SambaNova Systems, DocuSign, Gusto
Funding History
November 2017 | $4.0M |
---|---|
March 2018 | $56.6M |
March 2019 | $142M |
February 2020 | $108M |
February 2020 | $50.0M |
April 2021 | $418M |
April 2021 | $206M |
April 2021 | $53.7M |
Management
Chief Executive Officer
Rodrigo Liang
Chief Technologist
Kunle Olukotun
Press
press release - Mar, 6 2024
Announcing Sambaverse for Developerstechcrunch - Feb, 28 2024
SambaNova now offers a bundle of generative AI modelsventurebeat - Feb, 28 2024
SambaNova debuts 1 trillion parameter Composition of Experts model for enterprise gen AItechcrunch - Sep, 19 2023
New SambaNova chip designed to handle 5 trillion parameter modelnews - May, 31 2023
AI Investing Boom Is Not New To Tech Giants (At Least Not Their VC Arms)EquityZen does not have an affiliation with, formal relationship with, or endorsement from any companies featured above. This profile is based on publicly available information and is intended to be informative in nature.
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