Chardan Initiates QumulusAI Coverage With Buy Rating, Sets $24.50 Price Target on AI Infrastructure Play

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 $38 after declining 71% year-to-date. According to InvestingPro analysis, the stock appears overvalued at current levels based on Fair Value metrics. QumulusAI is a cloud infrastructure company that rents compute capacity to small-to-mid market customers and operates a legacy Bitcoin mining business. The company stands up GPU clusters in under 90 days compared with 12-24 month buildout cycles typical of hyperscale and traditional infrastructure providers. The company targets single-digit megawatt sites, which provides access to a larger pool of data center colocation capacity to scale the platform. Chardan said this strategy should enable QumulusAI to convert capital into revenue at a higher rate. The firm said the stock offers exposure to an emerging cloud infrastructure company with a growth profile supported by accelerating demand for artificial intelligence applications. The company posted revenue of $13.39 million with 74% growth over the last twelve months and a gross profit margin of 45%, though InvestingPro Tips note the company is quickly burning through cash and remains unprofitable. Subscribers have access to 13 additional ProTips for deeper analysis. Rising demand for AI applications is driving higher GPU rental economics. The company's core differentiation is speed to deployment, Chardan said. In other recent news, QumulusAI has announced several significant developments. The company has entered into a profit-sharing agreement with a hedge fund, marking the first deployment of its new monetization strategy for its reserve NVIDIA Blackwell GPU capacity. This agreement ensures QumulusAI receives market-rate compute pricing and a share of the hedge fund's quarterly trading profits without exposure to trading losses. Additionally, 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. This agreement is one of the largest customer commitments for QumulusAI and includes renewal options. Moreover, the company has placed an order for 1,632 NVIDIA Blackwell B300 GPUs, which will be delivered across 204 NVIDIA HGX B300 systems. This purchase was primarily financed through arrangements with Technology Finance Corporation and USD.ai and represents one of QumulusAI's largest single capacity expansions. Furthermore, 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 inference. These recent developments highlight QumulusAI's strategic growth and expansion in the AI infrastructure sector. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

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 infrastructure startups, and research institutions, while also supporting the scale and complexity requirements of large enterprises. Its GPUs include B300 SXM6, B200 SXM, RTX Pro 6000, H200 SXM, H100 SXM, H100 NVL and L4. Its solutions include enterprise, research and AI startups. QumulusAI Cloud delivers access to shared and dedicated GPUs as well as bare metal clusters. Its QumulusAI cloud compute ecosystem combines proprietary software and cloud services, developed in collaboration with technology partners, to optimize AI workflows at scale. It operates in multiple colocation data centers in Marietta, Georgia; Kansas City, Missouri; Denver, Colorado, and Philadelphia, Pennsylvania.