Skip to content
aiqbench takeChips & Infra

aiqbench analysis

This article details Modal's architectural shift away from traditional Kubernetes to handle millions of concurrent AI sandboxes, addressing specific scaling bottlenecks in etcd and scheduling algorithms inherent to massive container orchestration. The technical focus remains on the infrastructure challenges required to support high-throughput machine learning workloads rather than general software development or consumer applications.
Source coveringInfoQ
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Beyond Kubernetes at Modal: How to Scale 1 Million Concurrent Sandboxes in Seconds

InfoQ4 min read

In a recent article, Colin Weld and Connor Adams, staff engineers at Modal, describe how they rebuilt their sandbox infrastructure from the ground up to support millions of concurrent sandboxes and tens of thousands of sandbox creations per second. By Sergio De Simone

In a recent article, Colin Weld and Connor Adams, staff engineers at Modal, describe how they rebuilt their sandbox infrastructure from the ground up to support millions of concurrent sandboxes and tens of thousands of sandbox creations per second. According to Weld and Adams, traditional container orchestration systems such as Kubernetes struggle to operate at this scale because they rely heavily on centralized coordination and strongly consistent state. Running 1 million sandboxes pushes the limits of…

Excerpt shown under the publisher's RSS terms · 76 words · full text and figures are on the publisher's site

Related coverage