Databricks, every mention
60 scenes, the whole family · ← back to Databricks
tap a year for its mentions
every year anyone Shawn Wang 36Matei Zaharia 10Reynold Xin 7Jonathan Frankle 7Ankur Goyal 6Andy Konwinski 4Simon Eskildsen 3Varun Mohan 2Sherwin Wu 2Joubin Mirzadegan 2
Verbatim, from the transcripts: the passages where Databricks comes up
Exo: Harnesses should see their own code and logs — Alex Krentsel, UC Berekeley / Google Research
- ▶ 33:27 unnamed speaker Uh, Databricks has, like, a slightly different one, too.
The AI Memory Problem: Why Long Context Isn’t Enough — Dan Biderman, Engram Co-founder & CEO
- ▶ 44:40 Dan Biderman Leads at Databricks, and one of the core contributors at VLLM, and we're all kind of like, ah, systems inclined, but we think infrastructures, engineers, ah, people who know how to work, ah,
The Future of AI Infra: from Kubernetes to Agent Sandboxes — Akshat Bubna, Modal CTO
- ▶ 46:52 unnamed speaker Fred Schott had one, uh, and then, uh, to me, most recently was Databricks that had Omnigen.
The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
- ▶ 1:17 Shawn Wang Matean Reynolds from Databricks. 2 times in the scene
- ▶ 3:01 Shawn Wang Uh, we're also going to cover Genie, cover customer league. 2 times in the scene
- ▶ 3:09 Shawn Wang A lot of these, I think, like, are things that you would expect a Databricks to do.
- ▶ 10:46 Matei Zaharia Uh, anyone building agents, this gives them an app they can start with and customize, uh, which we were seeing in Databricks too, like someone would make a nice, you know, agent app, and then other teams would ask, oh, can I just use yours… 4 times in the scene
- ▶ 17:54 Matei Zaharia We had the dev info internally at Databricks. 3 times in the scene
- ▶ 24:20 Shawn Wang What's the policy in Databricks?
- ▶ 31:00 Reynold Xin A lot of our customers obviously get into Databricks to run more sophisticated things.
- ▶ 40:49 Reynold Xin Marketplace, open sharing, all of them had, I just don't remember exactly which ones publicly referenced.
- ▶ 43:41 Shawn Wang So, so then you go, but I don't think people say that about Databricks.
- ▶ 45:45 Reynold Xin Um, the, and, but that includes Databricks and very, very few company or very few systems, I think have the, uh, gut to say, let's go start from scratch. 2 times in the scene
- ▶ 51:04 Shawn Wang I feel like Databricks is, is doing a really good job of the incremental evolution.
- ▶ 54:27 Reynold Xin Like, Databricks have never had the proprietary format, right? 3 times in the scene
- ▶ 59:08 Shawn Wang The model story of Databricks, right? 4 times in the scene
- ▶ 1:00:39 Matei Zaharia That's the, the first party agents we have called Genie.
- ▶ 1:04:42 Shawn Wang He sounded, uh, when I was talking to him, more like a Databricks CEO than 3 times in the scene
- ▶ 1:06:42 Matei Zaharia and we have a general, something called AI runtime. 2 times in the scene
- ▶ 1:08:41 Shawn Wang Yeah, I mean, uh, Databricks is actually supporting my, uh, event, which is, uh, 4 times in the scene
Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbopuffer
- ▶ 4:14 Simon Eskildsen And I think at this point, that's also true for Snowflake and Databricks, right? 3 times in the scene
⚡️Context Graphs: according to the authors — Jaya Gupta, Ashu Garg, Foundation Capital
[State of Research Funding] Beyond NSF, Slingshots, Open Frontiers — Andy Konwinski, Laude Institute
- ▶ 0:25 Shawn Wang So your intro is very, very long, but you're a co-founder of Databricks and Perplexity, and, and now I think, um, people are less familiar with the Loud Institute and what you're, what you're doing. 6 times in the scene
- ▶ 3:30 Shawn Wang I want to talk about Slingshots as a funding vehicle, but you mentioned a bit of the, the sort of Databricks motion, and I think that's an interesting analogy, because Databricks is very unusual as a founding story, and I'm wondering if… 3 times in the scene
- ▶ 13:18 Shawn Wang I want to get to open frontiers, but one more question about just the NSF, which I think you, uh, you mentioned once for, for about Databricks, but also I think you're trying to target the LOD grants as sort of NSF level prestige and, and,…
- ▶ 13:51 Andy Konwinski I mentioned Google earlier, Databricks, all these researchers came from NSF funding, and it's just been 2 times in the scene
- ▶ 20:28 Andy Konwinski So for, and Percy was in the lab with a lot of this is just my, my network because Percy and I were in the same lab with Matei and all the other Databricks founders back in 2008, back at Berkeley.
AI to AE's: Grit, Glean, and Kleiner Perkins' next Enterprise AI hit — Joubin Mirzadegan, Roadrunner
- ▶ 30:32 Joubin Mirzadegan The first is do not just go on their LinkedIn and look at all the fancy logos that they have gone and worked at and immediately assume that because they were at Snowflake or because they were at Databricks, they must be good for your AI…
- ▶ 41:13 Joubin Mirzadegan It's like how data breaks.
Anthropic, Glean & OpenRouter: How AI Moats Are Built with Deedy Das of Menlo Ventures
- ▶ 1:11:32 Shawn Wang Databricks is rich enough. 3 times in the scene
Terminal-Bench 2.0: the most impt coding agent benchmark of 2025 gets a v2! Launch + Q&A w/ founders
- ▶ 21:28 Andy Konwinski I'm a founder of Databricks and perplexity and this thing called Laud.
How Zyphra went all-in on AMD + Why Devs feel faster with AI but are slower — with Quentin Anthony
- ▶ 25:29 Quentin Anthony So if you are, I don't know, Chase Bank or something like that, and you want to spend less, uh, inference money to a provider like Databricks or something, then maybe you have a few of those boxes in your data center.
Terminal-Bench: Pushing Claude Code, OpenAI Codex, Factory Droid, et al to the limits
DevDay 2025: Apps SDK, Agent Kit, MCP, Codex and why Prompting is More Important than Ever
- ▶ 20:13 Sherwin Wu So like kind of what we're, we're thinking about, but I also think like there's a lot of interesting research around this, like GPA with like the Databricks folks are actually doing really cool stuff around. 2 times in the scene
🕰️ The Oral History of Windsurf (ft. Varun Mohan, Scott Wu, Jeff Wang, Kevin Hou, Anshul R)
- ▶ 2:36:40 Varun Mohan It's like, I worked at like LinkedIn and then Quora and then Databricks.
2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- ▶ 1:48:29 Shawn Wang Does that include Databricks, the largest venture round in history? 2 times in the scene
Windsurf: The Enterprise AI IDE
- ▶ 59:54 Varun Mohan It's like, I worked at like LinkedIn and then Quora and then Databricks.
Why Compound AI + Open Source will beat Closed AI — with Lin Qiao, CEO of Fireworks AI
- ▶ 14:08 Shawn Wang Definitely getting a lot of adoption from like Databricks and the Berkeley people and all that.
How NotebookLM Was Made
- ▶ 51:51 Shawn Wang So compound AI people will be like Databricks.
Production AI Engineering starts with Evals
- ▶ 58:52 Ankur Goyal And it's funny because Databricks has a really famous hybrid on-prem model and the CEO and others are sort of have a mixed perspective on it. 5 times in the scene
- ▶ 1:17:30 Ankur Goyal With Databricks, it's the arbitrary code is a first class citizen, which is a very powerful idea, and it's not possible in other database technologies.
- ▶ 1:22:47 unnamed speaker Omar has decided to join Databricks and be an academic, and I have actually asked for like, who's making the DSPy startup?
State of the Art: Training 70B LLMs on 10,000 H100 clusters
- ▶ 0:04 unnamed speaker Today, we have, uh, sort of like a two-header, uh, John Franco from Mosaic Databricks, or Databricks Mosaic, and Josh Albrecht from MBU. 4 times in the scene
- ▶ 2:42 unnamed speaker Is this Databricks' version of the Shutterstock model? 2 times in the scene
- ▶ 4:16 unnamed speaker I will talk a little bit about Databricks because it's relevant to the rest of today's, uh, episode. 2 times in the scene
- ▶ 11:27 Jonathan Frankle Um, like weird stuff happens and figuring out how to not just identify all of that, but then eventually productize it is in some sense, the entire story of mosaic and now Databricks in terms of our ML offering.
- ▶ 21:40 Jonathan Frankle Um, you know, at Databricks and at Mosaic, we typically work with cloud providers.
- ▶ 36:34 Jonathan Frankle And like, you know, we wrote our own data loader, but we've tried to make that as much of a standard as we can across our infrastructure and in Databricks.
- ▶ 1:13:14 Jonathan Frankle Take a different tactic, which is, like, at the end of the day at Databricks, I have
- ▶ 1:28:53 Jonathan Frankle You know, Databricks is, you know, I, I think the joke is Databricks has been 18 months away from IPO for five years, but 3 times in the scene
How AI is Eating Finance - with Mike Conover of Brightwave
- ▶ 0:39 unnamed speaker Not at Databricks anymore.
- ▶ 1:05 unnamed speaker Um, things like Workday, you know, skip like LinkedIn, um, most recently at Databricks where you were leading the, the open source, large language models, um, team working on Dolly.
- ▶ 4:43 unnamed speaker So we left you at Databricks last time.
- ▶ 13:06 unnamed speaker You had released Dolly from Databricks, which was one of the first open source LMs.
- ▶ 28:28 unnamed speaker One thing you did at Databricks was the, um, well, not that you did specifically, but the team there was like the Dolly 3 times in the scene
Building an open AI company - with Ce and Vipul of Together AI
- ▶ 10:35 Alessio Fanelli Uh, I remember we had Mike Conover in the studio who, who had Bill Dolly at Databricks.
The Four Wars of the AI Stack - Dec 2023 Recap
The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
- ▶ 40:55 Dylan Patel He started Mosaic ML and sold it to Databricks recently, obviously leading LLMs and stuff there, AI there.