Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO
Article image or reusable cover for Latent Space
Warm welcome to Basil Chatha, our newest cohost from the Forward Deployed side of the AI Engineering world!
We’ll be ramping up a new show with him and couldn’t pass up an interview with Modal’s CEO Eric on the occasion of their monster Series D!Two years ago, we spoke with Erik Bernhardsson about his vision for truly serverless AI infrastructure: developers should be able to run code without provisioning clusters, predicting load, or paying for idle resources. CTO Akshat then joined us to talk about Modal’s infra primitives and stack to offer those primitives and agent experience.A lot has changed in the past 5 months. Since their $5B series C, Modal now reports it crossed $1 billion in annualized run rate, raised a $750 million Series D at a $16B valuation, and has spun up nearly three billion sandboxes. In this conversation, Erik joins Vibhu to explain the infrastructure and economics behind that growth—and why demand for compute rarely looks like the contracts used to buy it.Watch the full conversation on YouTube →GPU demand isn’t rectangularA typical capacity contract gives a customer a fixed number of GPUs for a fixed period.
The text is the source's own description of its publication. The content belongs to Latent Space.
More from Latent Space
Using Agents for Long-Horizon Financial Work — Aman Singh, Arca
Latent Space 15 h ago
⚡ Building ChatGPT for Finance — Joseph Kim, OpenAI's Head of Financial Services
Latent Space 31 Oct
Lumaril, which develops AI software for optimizing industrial production by connecting to existing control systems, raised a $66M Series A at a $400M valuation
Techmeme 2 h ago
DeepSeek open sources Super-Agent as a research prototype, a proactive coding agent it says can monitor group chats for coding issues and suggest solutions
Techmeme 2 h ago