💼  OpEx

OpEx#

Operating expenses — the ongoing cost of running operations.

Important

✨ AI-generated content. This page was written with the assistance of an AI language model and is provided as a learning aid. Despite careful review, it may still contain mistakes, omissions, or out-of-date information. Whether you are new to the topic, a team lead, or a senior practitioner, treat it as a starting point rather than an authoritative reference: read it critically and independently verify anything you act on (code, commands, figures, and factual claims) against official documentation and primary sources before relying on it.

What it is#

OpEx — operating expenses — are the ongoing, day-to-day costs of running a business or system. They contrast with CapEx (capital expenditures), the one-time, long-term investments like buying servers or buildings; OpEx is the recurring spend — salaries, rent, cloud usage.

What counts as OpEx#

In a business: salaries, rent, utilities, marketing, maintenance. In a tech/ML setting: cloud compute (AWS, GCP, Azure), data storage (S3, BigQuery, Snowflake), inference costs (GPU time per prediction), third-party API fees, and monitoring/logging subscriptions.

CapEx vs OpEx#

The split is timing and accounting. CapEx is a one-time investment in a long-lived asset, capitalised and depreciated over years. OpEx is a recurring operating cost, expensed immediately on the income statement. Buying $500k of servers is CapEx; paying $50k a month for cloud, salaries and electricity is OpEx.

Why it matters#

OpEx is subtracted from revenue to get operating profit, so businesses track it closely to control recurring costs. In ML specifically, reducing OpEx — more efficient models that burn fewer GPU hours — is what makes a deployment sustainable at scale, tying it directly to FLOPs and inference cost.


Theme: Business & Growth Analytics  ·  All terminology



See also

Source article Adapted (context, re-expressed) in our own words from: OpEx (insightful-data-lab.com).

Tags: purpose: reference topic: terminology level: intermediate