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Erik Bernhardsson

Co-founder and CEO of Modal Labs, a serverless cloud infrastructure platform for AI workloads; previously CTO of Better.com and engineering manager at Spotify

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Overview

Erik Bernhardsson is co-founder and CEO of Modal Labs [1], a serverless cloud infrastructure platform [4]. Bernhardsson served as Chief Technology Officer at Better.com from February 2015 to January 2021, during which time Bernhardsson grew the tech team from 1 to 300 engineers [4][6]. Prior to Better.com, Bernhardsson worked at Spotify for approximately seven years beginning in 2008, including roles as Software Engineer Intern, Engineering Manager, and work on the music recommendation system [4][7][9][10]. Bernhardsson holds an M.Sc. in Physics from KTH Royal Institute of Technology [13] and has a background in programming competitions, including an International Olympiad in Informatics gold medal [4].

Profile introduction
Source excerptLinkedIn [4]

I started and run Modal which is an infrastructure product for data teams. Modal is a runtime that handles all the containerization, deployment, scaling, resource management etc. We help lots of companies deploy GPU based models, run cron jobs, fan out large computationally intensive jobs, and much more. Before Modal I spent 2015-2020 running the tech team at Better, growing it from 1 to 300 engineers. Before Better, I was at Spotify for ~7 years, most of it building the music recommendation system. I have a background in programming competitions and have an IOI gold medal from a long long…

Career history

  1. CEOJan 2021 to PresentModal Labs
  2. Chief Technology OfficerFeb 2015 to Jan 2021Better.com
  3. Engineering ManagerAug 2011 to Feb 2015Spotify
  4. Associate, High Frequency TradingApr 2011 to Sep 2011Graham Capital Management
  5. Engineering ManagerJan 2009 to Mar 2011Spotify
  6. Software Engineer InternSep 2008 to Dec 2008Spotify
  7. Intern DeveloperJul 2007 to Sep 2007D. E. Shaw & Co.
  8. Intern Software EngineerOct 2006 to Apr 2007Google Switzerland GmbH
  9. FounderModal
  10. FounderModal Labs

Education

  1. M. Sc., Physics2003 - 2008KTH Royal Institute of Technology
  2. Physics, Mathematics2006 - 2006Technische Universität Berlin
  3. Secondary School2000 - 2003Science at Danderyds Matematikgymnasium

Insights & ideas

The through-line

Across every appearance catalogued here, Erik Bernhardsson returns to a single preoccupation: making infrastructure for data and AI work disappear so that developers can focus on the actual problem. That thread runs from the founding premise of Modal, built in 2021 to ease developer friction around deploying and running ML models at scale [1], through to later descriptions of the company simplifying cloud execution and handling large-scale GPU workloads for data teams [11]. Alongside that technical throughline sits a recurring interest in how teams and organizations should be structured and staffed, drawn from his time building and refining data cultures and thinking about data team recruiting [6][7]. The emphasis shifts over time from the early challenge of building a serverless platform that is both easy to use and flexible [2] toward the operational realities of scaling a fast-growing infrastructure business, including decision-making amidst hypergrowth [4][8].

On developer experience and infrastructure

Bernhardsson's founding motivation for Modal is described as addressing developer friction around deploying and running ML models at scale, a problem he first encountered before the current wave of generative AI [1]. He has discussed the challenges of building a serverless platform for data teams and framed Modal's work as building a new vision for serverless cloud [2]. A recurring tension he engages with is how to make a platform simultaneously easy to use and flexible enough to handle a wide variety of use cases [2], and separately, conversations describe him bringing a consumer app approach to radically simplifying developer experience for data and AI projects, a sensibility credited to his background building Spotify's music recommendation system [5]. Later discussions frame Modal's scope more broadly: as a tool for running generative AI models, large-scale batch jobs, and job queues [3], and as infrastructure for handling large-scale GPU workloads and simplifying cloud execution for data teams [11]. More recent coverage attributes Modal's growth, including revenue nearing $300M, to demand for its sandboxes product, which lets AI agents run in isolated environments, and to positioning as a go-to solution for developers wanting fast inference across LLMs and agents [12].

On team structure and specialization

One conversation is explicitly framed around Bernhardsson making the case for less specialization on data teams, discussed alongside his experiences with cohort analysis, data team recruiting, and building and refining data cultures [6][7]. This positions him as skeptical of narrowly siloed data roles in favor of broader, less specialized responsibilities, though the specific mechanics of that argument are not detailed beyond the framing of the conversation itself.

On scaling and decision-making

Bernhardsson has discussed decision-making amidst hypergrowth as a distinct topic from the technical work of building Modal, alongside coding and the overall Modal experience [4]. Separately, his journey building Modal is characterized as requiring a mix of passion, technical ingenuity, and adaptability, particularly in tackling infrastructure challenges in the data and AI space while navigating the nuanced dynamics of scaling a business [8].

Takeaways

  • Modal was built to remove developer friction around deploying and running ML models at scale, a problem Bernhardsson identified before the generative AI boom [1].
  • He argues for less specialization on data teams, drawing on his own experience with data team recruiting and building data cultures [6][7].
  • He brings a consumer app sensibility, shaped by building Spotify's recommendation system, to simplifying developer experience for data and AI work [5].
  • A core tension he wrestles with in platform design is balancing ease of use with flexibility across varied use cases [2].
  • He treats decision-making under hypergrowth as a distinct discipline from the technical challenges of building infrastructure [4][8].
  • Modal's more recent growth is tied to its sandboxes product, which runs AI agents in isolated environments, and to demand for fast inference across LLMs and agents [12].

Media & appearances

  • The Compute 100Apple Podcasts
    Erik Bernhardsson, CEO of ModalToday's guest is Erik Bernhardsson. Erik is the founder and CEO of Modal, NYC-based Series B infrastructure startup, most recently valued at $1.1B. Modal was founded in 2021, in a pre-ChatGPT world, built to ease developer friction around deploying and
  • Venture with GraceApple Podcasts
    Erik Bernhardsson, Modal CEO on AI Infra, Data Compute & Scaling GPUsErik Bernhardsson is the founder and CEO of Modal, the serverless platform for AI, data and ML teams that enables deployment of generative AI models, large-scale batch jobs, and job queues with effortless scaling across thousands of CPUs and GPUs. Modal
  • BarrchivesApple Podcasts
    Solving Technical Problems To Help AI Teams Move Up The Stack, with Erik Bernhardsson, CEO of ModalWhen it comes to building cutting-edge technology companies, Erik Bernhardsson's journey with Modal exemplifies the mix of passion, technical ingenuity, and adaptability required to succeed. From tackling infrastructure challenges in the data and AI space to navigating the nuanced dynamics of scaling a business, Modal’s story provides a masterclass in modern tech entrepreneurship.
  • The MAD Podcast with Matt TurckApple Podcasts
    Can AI Infrastructure Work Like Magic? | Erik Bernhardsson, CEO, ModalBefore he founded Modal, Erik Bernhardsson created Spotify's music recommendation system. Today he's bringing a consumer app approach to radically simplifying developer experience for data and AI projects on the Modal platform. In this episode, we
  • Gradient DissentApple Podcasts
    Elevating ML Infrastructure with Modal Labs CEO Erik BernhardssonConversations on AI: In this episode of Gradient Dissent, Erik Bernhardsson, CEO & Founder of Modal Labs, joins host Lukas Biewald to discuss the future of machine learning infrastructure. They explore how Modal is enhancing the developer experience, handling large-scale GPU workloads, and simplifying cloud execution for data teams. If you’re into AI, data pipelines, or building robust ML systems, this episode is packed with valuable insights! 🎙 Listen on Apple Podcasts: http://wandb.me/apple-podcasts 🎙 Listen on Spotify: http://wandb.me/spotify ✅ Subscribe to Weights & Biases → https://bit.ly/45BCkYz 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Erik Bernhardsson: Follow Weights & Biases: Join the Weights & Biases Discord Server:
  • Latent SpaceApple Podcasts
    Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of ModalThe AI Engineer Podcast: We’re writing this one day after the monster release of OpenAI’s Sora and Gemini 1.5. We covered this on Alex Volkov ‘s ThursdAI space, so head over there for our takes. IRL: We’re ONE WEEK away from Latent Space: Final Frontiers, the second edi
  • Scaling DevToolsApple Podcasts
    Erik Bernhardsson from Modal LabsErik Bernhardsson is the founder of Modal Labs. Modal Labs is a tool to run generative AI models, large-scale batch jobs, job queues, and much more. Links:- https://twitter.com/bernhardsson- https://erikbern.com/- https://modal.com/
  • Unsupervised Learning with Jacob EffronApple Podcasts
    Ep 21: Modal CEO Erik Bernhardsson on Bringing Development to the Cloud, the GPU Market, and GenAI MusicJacob and Pat sit down with Erik Bernhardsson, the founder of Modal Labs, a data infrastructure company providing GPU compute to data teams. On this episode we discussed Erik’s thoughts on the AI chip market, the most popular GenAI use cases on Modal,
  • devtools.fmApple Podcasts
    Erik Bernhardsson - ModalDeveloper Tools, Open Source, Software Development: This week we talk with Erik Bernhardsson about Modal, a serverless platform for data teams. Erik talks about his background in data science and machine learning, and how he saw a need for a better tool for data teams. We talk about the challenges of building a serverless platform, and how Modal is building a new vision for serverless cloud. We also talk about the challenges of building a platform that is both easy to use and flexible enough to handle a wide variety of use cases. Become a paid subscriber our patreon, spotify, or apple podcasts for the full episode.
  • The Data Stack ShowApple Podcasts
    111: What if Your Code Just Ran in the Cloud for You? Featuring Erik Bernhardsson of Modal LabsThis week on The Data Stack Show, Eric and Kostas chat with Erik Bernhardsson, the CEO at Modal Labs. During the episode, Erik discusses decision-making amidst hypergrowth, coding, and the Modal experience.
  • The Right TrackApple Podcasts
    Ep. #9, The Argument for Less Specialization with Erik Bernhardsson of Modal LabsIn episode 9 of The Right Track, Stef speaks with Erik Bernhardsson, founder of Modal Labs and an early engineer at Spotify. This conversation covers cohort analysis, data team recruiting, and Erik's experiences building and refining data cultures.
  • Heavybit PodcastsApple Podcasts
    Ep. #9, The Argument for Less Specialization with Erik Bernhardsson of Modal LabsIn episode 9 of The Right Track, Stef speaks with Erik Bernhardsson, founder of Modal Labs and an early engineer at Spotify. This conversation covers cohort analysis, data team recruiting, and Erik's experiences building and refining data cultures.
  • Search thousands of podcast episodes with AI transcripts. Find key insights, quotes, and analysis. Discover episodes by topic, person, or concept.
    No Priors Ep. 96 | With Modal CEO and Founder Erik Bernhardsson
  • <p>Today's guest is <a href='https://www.linkedin.com/in/erikbern/' target='_blank' rel='ugc noopener noreferrer'>Erik Bernhardsson</a>.</p><p>Erik is the founder and CEO of Modal, NYC-based Series C infrastructure startup, most recently valued at $4.65B, up from their Series B at $1.1B. Modal was founded in 2021, in a pre-ChatGPT world, built to ease developer friction around deploying and running ML models at scale. The early product was inspired by Erik's time at Spotify where he built their music recommender system. Since then, Modal has become a go-to solution for developers who want fast inference across LLMs and agents. Modal is growing rapidly, hitting nearly $300M in revenue, driven by demand for their sandboxes product, which let AI agents run in isolated environments. We're thrilled to have Erik on the podcast.iHeartRadio
    Erik Bernhardsson, CEO of Modal - The Compute 100 | iHeart
  • In this episode of the Tractable podcast, Kshitij Grover, the cofounder and CTO of Orb, interviews Eric, the founder and CEO of Modal. They discuss Eric's technical background, his experience build...
    Tractable | Modal CEO Erik Bernhardsson: Scalable on-demand compute for ...
  • listennotes.com
    Erik Bernhardsson from Modal Labs - Scaling DevTools (podcast)

In the news

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