What it sells
Infrastructure for managing GPU clusters for training/serving.
Business model breakdown
Buyer: who owns the budget?
UnverifiedML infrastructure leads / heads of AI at teams training and serving models on GPUs.
Trigger: what makes them buy now?
GPU hardware failures killing training runs and high cluster costs.
Workflow: what inputs become what output?
Write a YAML job, run konduktor launch; it health-checks GPUs, cordons bad nodes, reschedules jobs, and serves inference endpoints; Pluto tracks experiments.
Economics: what it saves and how it charges
Konduktor: platform fee plus per-node, deployed in customer cloud (BYOC); Pluto: per-seat SaaS. Claims 50% lower compute cost, 5M+ GPU hours managed.
Distribution: how it reaches customers
Demo-led for Konduktor; self-serve free tier for Pluto; YC startup deals.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2023 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.