RUNPOD

runpod.io · San Francisco, United States of America

RunPod provides cloud infrastructure for machine learning and AI workloads, offering on-demand and persistent GPU instances, serverless endpoints, and tooling to deploy, manage, and scale models. It serves developers, ML engineers, and AI-focused companies that need cost-efficient GPU compute without managing their own hardware. The company generates revenue through usage-based and subscription pricing for its cloud GPU and serverless AI services.

  • Cloud Infrastructure & Hosting
  • MLOps & ML Platforms
Revenue
$7.0M
Employees
45
Founded
2022
Headquarters
San Francisco, United States of America

What 11 Arbolus experts think of RUNPOD

RUNPOD receives strong NPS ratings (10, 10, 9, 9, 8) from Influencers and some Users, with positive sentiment grounded in speed, pricing, and card availability. However, uncertainty is visible among Users, especially those at early or offboarding stages, citing reliability and enterprise maturity gaps. Renewal intent is high among Influencers and high spenders, but Users display hesitancy. 67% of experts report being in a steady, multi-month adoption phase, while a minority are considering offboarding.Overall Customer Sentiment: Positive

Who reviewed RUNPOD

Total customers 11 10 current · 1 former
Reviews growth +5 in six months
Seniority of respondents
  • C-Suite 82% (9)
  • Director 9% (1)
  • Manager 9% (1)
Founder C-Suite NPS 9
Operations Manager C-Suite NPS 10
Executive C-Suite NPS 5 Undecided

Employer names and spend open in the full report, along with the other 8 customers.

Everything 11 customers told us about RUNPOD.

Employer names, spend, renewal intent and every written answer behind the numbers on this page.

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Sentiment

18 Net Promoter Score, from 11 scored reviews
  • Promoters 5
  • Passives 3
  • Detractors 3

Cumulative NPS by month

+1 over 6 months
  • Dec 7
  • Mar 7
  • May 7
  • Jul 8
  • Aug 8
  • Sep 8

Net Promoter Score across 1 reviews, accumulated up to each month. Category median 18 across 1 companies.

Praised

  • Fast Spin-Up and Burst Capacity
  • Direct Access to Preferred Hardware
  • Affordable, Flexible Billing
  • Broader Ecosystem Integration

Criticised

  • Lack of Enterprise-Grade Features
  • Thin Ecosystem Integrations
  • Tailored Only for Burst Use Cases
  • Loyalty Hinges on Reliability

What customers say

Fast Spin-Up and Burst Capacity
“I can spin up GPUs in minutes for experiments, which is a key benefit over reserved or owned hardware for our AI company.”
Direct Access to Preferred Hardware
“We always get the specific GPU card we ask for without hassle, which shifts GPU-intensive experiments from major investments to affordable short runs.”
Affordable, Flexible Billing
“The pay-as-you-go model lets us access real GPUs only when needed and end sessions immediately, making experimentation cost-effective compared to large clouds.”

Renewal intent

Plan to renew 43%
  • Will renew 3
  • Undecided 4
  • Not renewing 0

Plan to renew, by seniority

  • C-Suite 33% 6 answers
  • Director 100% 1 answer
  • 9.7/10 Average score from customers who will renew
  • 6/10 Average score from undecided customers

Report

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