Apache Spark, every mention
11 scenes · ← back to Apache Spark
tap a year for its mentions
every year anyone Shawn Wang 3Reynold Xin 3Matei Zaharia 2Jonathan Frankle 1Jason Liu 1Eiso Kant 1Andy Konwinski 1
Verbatim, from the transcripts: the passages where Apache Spark comes up
The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI
The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
- ▶ 1:34 Matei Zaharia We were doing these tutorials and, yeah, just teach people Spark.
- ▶ 11:17 Shawn Wang And I mean, this goes back to Spark, right? 2 times in the scene
- ▶ 26:17 Reynold Xin Probably very similar to how you did Spark, which is you could just start using. 2 times in the scene
- ▶ 32:49 Reynold Xin And Spark, for example, had a massive ecosystem.
- ▶ 55:43 Matei Zaharia Cause that's what Spark was, was for the large scale map reduce like stuff.
Agent Inference at the "Speed of Light" — How NVIDIA moves like a $4.3 Trillion Startup
- ▶ 31:43 unnamed speaker I can run it on a spark.
[State of Research Funding] Beyond NSF, Slingshots, Open Frontiers — Andy Konwinski, Laude Institute
- ▶ 16:29 Andy Konwinski We can actually identify projects that are more likely to become a Databricks or an Apache Spark or Array or an LM Arena sooner and, and, and with more confidence.
Why is everyone cloning Deep Research?
- ▶ 47:55 Shawn Wang Data science would be, like, this is a Spark job or, you know, it's like a Wraith.
State of the Art: Training 70B LLMs on 10,000 H100 clusters
- ▶ 1:04 Jonathan Frankle I, as much as I would love to understand how Spark works,