QumulusAI closed at $3.51 on Nov 4, down 0.78%, 56.6% below its highest close since Sep 11. Volume of 128.2K shares was 0.42× its 20-day average (below normal).
Split-adjusted performance: -43.0% over one month.
Short interest was 1.2M shares at the Oct 15 settlement, up 23.6% from the prior report (8.4% of float, 3.2 days to cover).
QumulusAI Inc is a cloud infrastructure company engaged in the rapid deployment of graphics processing unit (GPU)-powered solutions for artificial intelligence (AI) applications, serving a critical market that is often overlooked by large-scale cloud providers (hyperscalers), which operate massive, standardized computing infrastructures serving the immense enterprises. The platform delivers flexible, competitively priced, and customizable solutions for underserved small- and mid-market customers, including machine learning teams, AI infrastructure startups, and research institutions, and also supports the scale and complexity requirements of large enterprises.
What is QMLS's market cap?
$117.52M, based on the Nov 4 close of $3.51.
How much of QMLS is sold short?
1.2M shares, 8.4% of float, as of Oct 15, 2026.
What sector is QMLS in?
Technology, in the Cloud & Data Processing industry.
About QumulusAI
QumulusAI Inc is a cloud infrastructure company engaged in the rapid deployment of graphics processing unit (GPU)-powered solutions for artificial intelligence (AI) applications, serving a critical market that is often overlooked by large-scale cloud providers (hyperscalers), which operate massive, standardized computing infrastructures serving the immense enterprises. The platform delivers flexible, competitively priced, and customizable solutions for underserved small- and mid-market customers, including machine learning teams, AI infrastructure startups, and research institutions, and also supports the scale and complexity requirements of large enterprises. Its products are B300 SXM6, B200 SXM, RTX Pro 6000, H200 SXM, and Others. Its solutions are Enterprise, Research, and AI Startups.
Sources: Massive / Polygon daily aggregates (split-adjusted) · SEC filings via Massive · FINRA settlements via Massive · Financial Modeling Prep. Figures are dated where shown; research is informational, not investment advice. Methodology