🛠️Latent Space: Why AI Agents Need Real Computers
TL;DR
On Latent Space, Daytona CEO Ivan Burazin argues agents need composable, stateful computers, not just code-execution sandboxes. He details 74% month-over-month growth, roughly 850K sandbox runs a day, and why RL and eval workloads jumped from 0% to about 50% of usage.
On Latent Space, Daytona CEO Ivan Burazin argues agents need composable, stateful computers, not just code-execution sandboxes. He details 74% month-over-month growth, roughly 850K sandbox runs a day, and why RL and eval workloads jumped from 0% to about 50% of usage.
Key Points
Daytona reports 74% month-over-month growth and roughly 850,000 sandbox runs per day
RL and eval workloads went from 0% to about 50% of usage in a few months
Runs on bare metal with a custom scheduler; argues Kubernetes is the wrong fit for bursty agent workloads
Burazin's bet: the future AI cloud looks more like Stripe than AWS
Why It Matters
Agent infrastructure is becoming its own category, with constraints like instant startup, statefulness, and OS access that general-purpose cloud primitives don't satisfy.
Quick Facts
Frequently Asked Questions
Why does this matter?
Agent infrastructure is becoming its own category, with constraints like instant startup, statefulness, and OS access that general-purpose cloud primitives don't satisfy.
What happened?
On Latent Space, Daytona CEO Ivan Burazin argues agents need composable, stateful computers, not just code-execution sandboxes. He details 74% month-over-month growth, roughly 850K sandbox runs a day, and why RL and eval workloads jumped from 0% to about 50% of usage.
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