2 Sources
[1]
Chardan initiates QumulusAI stock coverage with buy rating By Investing.com
Investing.com - Chardan initiated coverage on QumulusAI Inc. (NASDAQ:QMLS) with a Buy rating and set a price target of $24.50, analyst Bill Papanastasiou said. The target represents substantial upside from the current stock price of $6.11, though the shares remain well below their 52-week high of
[2]
Chardan Initiates QumulusAI at Buy Rating, With $24.50 Price Target
QumulusAI, Inc. is a distributed artificial intelligence (AI) cloud platform that delivers accelerated access to high-performance graphics processing unit (GPU) compute. Its platform delivers customizable solutions for underserved small and mid-market customers, including machine learning teams, AI
Share
Copy Link
Chardan Capital Markets initiated coverage on QumulusAI with a Buy rating and a $24.50 price target, representing substantial upside from the current $6.11 stock price. The cloud infrastructure provider stands out by deploying GPU clusters in under 90 days versus the 12-24 month cycles typical of traditional providers, targeting underserved small and mid-market customers with NVIDIA GPUs.
Chardan Capital Markets initiated coverage on QumulusAI (NASDAQ:QMLS) with a Buy rating and set a $24.50 price target, according to analyst Bill Papanastasiou
1
. The target represents substantial upside from the current stock price of $6.11, though shares remain well below their 52-week high of $38 after declining 71% year-to-date1
. The firm highlighted QumulusAI as an emerging cloud infrastructure provider with a growth profile supported by accelerating demand for AI applications and rising GPU rental economics1
.QumulusAI is a distributed AI cloud platform that delivers accelerated access to high-performance GPUs for AI compute needs
2
. The company's core differentiation lies in speed to deployment, with GPU cluster deployment completed in under 90 days compared with 12-24 month buildout cycles typical of hyperscale and traditional infrastructure providers1
. This rapid deployment capability enables QumulusAI to convert capital into revenue at a higher rate1
. The company targets single-digit megawatt sites, providing access to a larger pool of data center colocation capacity to scale the platform1
.QumulusAI's platform delivers customizable solutions for underserved small and mid-market customers, including machine learning teams, AI startups, and research institutions, while also supporting the scale and complexity requirements of large enterprises
2
. The company's NVIDIA GPU portfolio includes B300 SXM6, B200 SXM, RTX Pro 6000, H200 SXM, H100 SXM, H100 NVL and L4 chips2
. QumulusAI Cloud delivers access to shared and dedicated GPUs as well as bare metal clusters2
. The company operates multiple colocation data centers in Marietta, Georgia; Kansas City, Missouri; Denver, Colorado, and Philadelphia, Pennsylvania2
.Related Stories
QumulusAI has secured a three-year deal valued at over $71.9 million to supply NVIDIA Blackwell B300 and B200 capacity to an AI inference platform provider, marking one of the company's largest customer commitments with renewal options
1
. The company placed an order for 1,632 NVIDIA Blackwell B300 GPUs, delivered across 204 NVIDIA HGX B300 systems, representing one of QumulusAI's largest single capacity expansions1
. This purchase was primarily financed through arrangements with Technology Finance Corporation and USD.ai1
. Additionally, QumulusAI has been approved as an NVIDIA Cloud Partner, allowing it to deploy NVIDIA AI infrastructure for various workloads, including model training and production-scale inference1
.The company posted revenue of $13.39 million with 74% growth over the last twelve months and a gross profit margin of 45%
1
. However, InvestingPro analysis notes the company is quickly burning through cash and remains unprofitable1
. QumulusAI also operates a legacy Bitcoin mining business alongside its cloud infrastructure operations1
. The company recently entered into a profit-sharing agreement with a hedge fund, marking the first deployment of its new monetization strategy for reserve NVIDIA Blackwell GPU capacity, ensuring market-rate compute pricing and a share of quarterly trading profits without exposure to trading losses1
.Summarized by
Navi
[2]
21 Jul 2026•Technology
11 Jun 2026•Technology
23 Sept 2026•Business and Economy
1
Technology

2
Technology

3
Policy and Regulation
