Dell, Hewlett Packard Enterprise Positioned to Benefit From Agentic AI-Driven CPU Demand, BofA Says

MT Newswires Live04-27 23:20

Dell Technologies (DELL) and Hewlett Packard Enterprise (HPE) are positioned to benefit from rising demand for CPU-intensive infrastructure as agentic artificial intelligence drives more complex inference workloads, BofA said in a Monday research note.

Agentic AI is expected to increase infrastructure spending by turning single inference events into multi-step, persistent workflows that require more CPU processing, storage access, and execution capacity.

BofA said the shift toward agentic AI increases the importance of CPU-intensive compute across the inference stack, including model loading, prompt processing, and token generation.

The brokerage views Dell and Hewlett Packard Enterprise within the server market as share gainers among original equipment manufacturers due to increased demand for both AI servers and traditional server infrastructure, as well as storage systems.

However, BofA expects a moderation in demand growth in the second half due to memory pricing pressures.

The firm reiterated its buy ratings on Dell and Hewlett Packard and raised its price targets to $246 and $38 per share, respectively, from $205 and $32 earlier.

Price: 214.07, Change: -2.02, Percent Change: -0.93

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Comments

We need your insight to fill this gap
Leave a comment