Kubernetes, every mention
54 scenes · ← back to Kubernetes
tap a year for its mentions
every year anyone Shawn Wang 6Jim Zemlin 6Erik Bernhardsson 6Ivan Burazin 5Akshat Bubna 5Paul Klein 4Kyle Kranen 4Jonathan Frankle 4Sunil Pai 3Jake Cooper 3
Verbatim, from the transcripts: the passages where Kubernetes comes up
The Future of AI Infra: from Kubernetes to Agent Sandboxes — Akshat Bubna, Modal CTO
- ▶ 0:00 Akshat Bubna We've actually changed our SDK team to think about agent experience, sort of, uh, developer experience, and, and we think that the same benefits that apply for DX also actually apply for AX, which is why would you have an agent read…
- ▶ 2:10 Akshat Bubna It's because you have to run them on Kubernetes. 3 times in the scene
- ▶ 6:09 Akshat Bubna We've actually changed our SDK team to think about agent experience, sort of, uh, developer experience, and we think that the same benefits that apply for DX also actually apply for AX, which is why would you have an agent read through…
- ▶ 8:18 unnamed speaker So there, there is still a role for like the always on large scale Kubernetes type of things.
The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
- ▶ 13:20 Matei Zaharia Uh, but for example, someone added support for running it on Kubernetes.
AI Agents Need Computers: 74% MoM Growth, 850K/Day Runs, & New Agent Cloud — Ivan Burazin, Daytona
- ▶ 4:19 Ivan Burazin But the interesting part is that we, at that point in time, because there was no VS code, for those that still remember VS code, um, for, um, there was no Kubernetes and Docker had just started when we, or I'm not sure if it was even,
- ▶ 14:37 Ivan Burazin And we looked at Kubernetes.
- ▶ 29:17 Ivan Burazin What we are competing against in that environment is essentially managed Kubernetes. 3 times in the scene
- ▶ 1:02:02 Shawn Wang Uh, and built the spiritual successor to serverless and Kubernetes and for agents.
The Agent-Native Cloud: 3M Users, 100K Signups/Wk, Data Centers, & Death PRs — Jake Cooper, Railway
- ▶ 3:02 Jake Cooper So you have like Docker and cube and then like Ansible scripts and all of these other things, right?
- ▶ 15:02 Jake Cooper Like, we've talked a lot about, like, how we don't really use Kube, uh, like Kubernetes.
- ▶ 45:50 Jake Cooper Massive systems that these companies built on top of like Docker for local and then like cube for production and like this specific thing for whatever.
⚡️ OpenClaw's Memory Sucks and the fix is simple — Dhravya Shah, Supermemory
- ▶ 24:29 Dhravya Shah And this happens to us, and we want to make sure that, like, we're giving them a lot of, you know, a lot of satisfaction on, like, they should be happy about using Kubernetes, and it should not be something that, you know, they have to be…
Agent Inference at the "Speed of Light" — How NVIDIA moves like a $4.3 Trillion Startup
- ▶ 12:35 Nader Khalil I think a quote was like, the first thing someone's going to want to do with this is get two of them and run a Kubernetes cluster on top of them. 2 times in the scene
- ▶ 28:35 Kyle Kranen So you actually have to scale out to use a, you know, maybe some Kubernetes type terminology.
- ▶ 42:24 Kyle Kranen Yeah, so Dynamo actually has like a Kubernetes component in it called Grove that allows you to do this like crazy scaling specialization. 3 times in the scene
Why Your AI Agents Don’t Work with Dex Horthy of HumanLayer | In-Context Cooking
- ▶ 10:22 Dex Horthy Kubernetes Terraform, like, deployment, deployment system.
One Year of MCP — with David Soria Parria and AAIF leads from OpenAI, Goose, Linux Foundation
- ▶ 28:57 David Soria Parra They effectively have a command to launch it, and it just launches in like a, in a Kubernetes cluster for them.
- ▶ 1:25:23 Jim Zemlin Kubernetes is sort of that.
- ▶ 1:33:16 Jim Zemlin Kubernetes, which was kind of the Borg, and they renamed it Kubernetes, uh, to the Linux Foundation. 5 times in the scene
⚡ Inside GitHub’s AI Revolution: Jared Palmer Reveals Agent HQ & The Future of Coding Agents
- ▶ 19:26 unnamed speaker Uh, just some Kubernetes pods.
The Agents Economy Backbone - with Emily Glassberg Sands, Head of Data & AI at Stripe
- ▶ 1:13:58 Emily Glassberg Sands We also love, like, weights and biases, um, flight, Kubernetes, like, sort of, like, sort of, like, the basic stack you can think of.
⚡️Traversal: Causal ML and Reinforcement Learning
- ▶ 39:02 Raaz Dwivedi If you ask people who work in infrastructure, they are like Kubernetes auto-scaling.
A Technical History of Generative Media
- ▶ 22:34 Batuhan Taskaya Are you just built, are you just repping another, like, if you have, like, a Kubernetes deployment, are you just repping it and giving people access? 2 times in the scene
⚡️Launching Ona: Coding Agent with Fully Sandboxed Cloud Environment
- ▶ 0:52 Shawn Wang Like containers stop at like the single, uh, single sort of node and you need more networking and like Kubernetes has, has its own thing, but like really I needed something lighter weight and, and you, you guys solved a lot of those…
- ▶ 6:49 Johannes (Johannes Landgraf) To a certain extent, like with Git and Pod, it's like, it's a Kubernetes-based architecture. 2 times in the scene
🕰️ The Oral History of Windsurf (ft. Varun Mohan, Scott Wu, Jeff Wang, Kevin Hou, Anshul R)
The Shape of Compute (Chris Lattner of Modular)
- ▶ 21:56 Chris Lattner I have a Kubernetes cluster.
- ▶ 1:17:07 Chris Lattner Yeah, we're, we're hiring a small number of elite nerds, and so if you care about GPU programming, you care about AI models, you care about inference, you care about Kubernetes and cloud scale stuff, please check us out.
[AIEWF Preview] Containing Agent Chaos — Solomon Hykes
- ▶ 8:17 Solomon Hykes All the effort went into infrastructure, you know, Kubernetes, scalable storage, scalable networking,
DeepWiki: The GitHub Encyclopedia
- ▶ 11:22 Silas Alberti I think we just, like, schedule indexing jobs in Kubernetes, have, like, a system that, like, manages it.
Why Every Agent needs Open Source Cloud Sandboxes
- ▶ 16:22 Vasek Mlejnsky I think a good analogy here is sort of, like, technologically, it's kind of, you want to be the Kubernetes of the world for the agent, but with much better DX, uh, and, and easier, easier to use.
Tiny Teams: $6m ARR, 5m users with 4 employees — Sid Bendre, Oleve (Quizard AI/Unstuck AI)
- ▶ 21:26 unnamed speaker Docker, Kubernetes, and Terraform.
SF Compute: Commoditizing Compute
- ▶ 56:22 Evan Conrad And then on top of that image, we can throw Kubernetes on it.
npm install Agents — with Sunil Pai and Rita Kozlov (VP AI) of Cloudflare
- ▶ 25:50 Sunil Pai See, bro, the first step was making sure you don't have to use Kubernetes, and that we kind of solved. 3 times in the scene
- ▶ 33:32 Rita Kozlov Um, so, agent like identification and, um, the, I think the second one was the Kubernetes problem. 2 times in the scene
Browserbase: Browser Infrastructure For Your AI Agents
- ▶ 14:19 Paul Klein This sounds like a problem for Kubernetes and Docker, right? 2 times in the scene
- ▶ 16:47 Paul Klein We use Kubernetes at BrowserBase, so we have, you know, many pods that are being scheduled.
- ▶ 57:53 Paul Klein I try and like look for them in my passive web browsing and, um,
DeepSeek V3, SGLang, and the state of Open Model Inference in 2025 (Quantization, MoEs, Pricing)
- ▶ 29:59 unnamed speaker It takes, as some people are like, oh, you just need Kubernetes and Kubernetes has an autoscaler and that just works. 3 times in the scene
0 to over $8M ARR in 2 months as a Claude Wrapper (Bolt.new, Qodo)
- ▶ 35:03 Itamar Friedman Do you use Kubernetes, or do not, like, because we want to exploit that, there are companies that do not do that, et cetera.
- ▶ 38:46 Eric Simons I guess the question I have for you is, I mean, we, we were just doing that with, you know, kind of Kubernetes based stuff, but the spread of fortune, 500 companies that you're working with, how are they doing the inference for this?
The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
- ▶ 58:55 unnamed speaker I'm familiar with Kubernetes. 2 times in the scene
State of the Art: Training 70B LLMs on 10,000 H100 clusters
- ▶ 34:44 Josh Albrecht Like we don't use Kubernetes, for example, I would just directly launch these things and it's just been much easier to debug this way.
- ▶ 36:40 Jonathan Frankle Cause things just start getting really complicated or like we use Kubernetes extensively because it at least gives us a uniform set of APIs. 4 times in the scene
How To Hire AI Engineers (ft. James Brady and Adam Wiggins of Elicit)
- ▶ 12:07 unnamed speaker You know, like, are we talking Kubernetes?
Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal
- ▶ 8:06 Erik Bernhardsson I find that the data stack is, you know, full of, like, point solutions that don't integrate well, and still when you look at, like, data teams today, uh, you know, like, every startup ends up building their own internal Kubernetes wrapper… 3 times in the scene
- ▶ 12:35 Erik Bernhardsson And in Kubernetes also like not very fast at like starting containers.
- ▶ 23:10 Erik Bernhardsson Yeah, yeah, I mean, like, Modal, like, I always built it to be a very general purpose compute platform, like something where you could run everything, and I used to call Modal, like, a better Kubernetes for data team for a long time, uh,…
- ▶ 45:28 Shawn Wang That's the old Kubernetes line. 2 times in the scene
- ▶ 1:07:25 Erik Bernhardsson And so, and, and so one of my frustrations has been like so many startups are like, in my opinion, like Kubernetes wrappers and like, you know, like, and not very like thick wrappers, like fairly thin wrappers.
Building an open AI company - with Ce and Vipul of Together AI
The AI-First Graphics Editor - with Suhail Doshi of Playground AI
- ▶ 1:03:47 Suhail Doshi They like built their own scheduler, you know, and doing things with Kubernetes.
RAG is a hack - with Jerry Liu of LlamaIndex
- ▶ 37:35 Shawn Wang Um, so Kelsey Hightower famously wrote, uh, Kubernetes the hard way, which is don't use Kubernetes, just like do everything. 2 times in the scene