AMPLab
other on 4 shows · 6 statements across 3 episodes · said 63 times in 10 episodes since 2016
the a16z Podcast 51 
the MAD Podcast 10 
BG2 Pod 1 
the Official SaaStr Podcast 1
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the a16z Podcast 51the MAD Podcast 10the Official SaaStr Podcast 1BG2 Pod 1
2025 1 mention in 1 episode
2024 1 mention in 1 episode
2021 5 mentions in 2 episodes 3 per episode
2019 50 mentions in 5 episodes 10 per episode
- a16z Podcast | AMPLab, the Power of Open Source, and the Future of Systems Software
- a16z Podcast | A New Lab Rises
- a16z Podcast | The Changing Culture of Open Source
- a16z Podcast | The Storage Renaissance
- a16z Podcast | Making the Most of the Data That Matters
- every mention in 2019, scene by scene →
2016 6 mentions in 1 episode
every mention on every show, scene by scene, with the transcript →
6 statements about AMPLab, every show
Ghodsi: Hadoop was terrible for machine learning tasks
“The people in Amplab that were doing machine learning, the math folks, they had to use this thing called Hadoop, which was just terrible.”
Stoica: UC Berkeley computer science research labs operate on five-year limits
“So the labs are like one rule is around five years.”
Stoica: Apache Spark was created to prove Mesos's value
“So actually, Mesos was the first project we developed. This is what started the stack. And Mesos was by design to support multiple cluster computing framework. We started with Hadoop. And actually, one of the reasons we designed Spark, it's To show that it's m…”
Stoica: Facebook's early big data cluster had 80 nodes and three people
“When we started working with Facebook, Facebook, you know, has an entire cluster, big cluster for big data. It was 80 nodes. And their big data team was like three people.”
Stoica: UC Berkeley's AMPLab generates zero patents and commits to open source
“The other thing about what AMLAB and all these labs have done is that they take a very strong stand about being open source and we generate no patents.”