Tech company IBM (IBM) is teaming up with chipmaker Nvidia (NVDA) in order to help businesses use AI more effectively. Indeed, they plan to introduce new tools that make it easier to manage and scale AI applications. IBM will add content-aware storage to its hybrid cloud system, IBM Fusion, expand its watsonx AI platform, and offer new consulting services with Nvidia. These updates will help companies process large amounts of data and make AI more accessible.
Interestingly, a recent IBM report found that 77% of executives now believe that generative AI is ready for the market, a sharp rise from 36% in 2023. To meet this growing demand, IBM and Nvidia are working together to create AI solutions that improve data security and performance. IBM’s new storage system will help businesses organize and analyze large amounts of unstructured data. Meanwhile, IBM’s watsonx AI platform will connect with Nvidia NIM and allow companies to use AI models across different cloud platforms while keeping data secure.
IBM is also increasing its AI computing power. In fact, it will now offer Nvidia H200 GPU instances in IBM Cloud, which are built to handle AI tasks that are more demanding. In addition, IBM Consulting is introducing AI Integration Services to help businesses use AI for real-world applications, such as automating inspections in factories or analyzing video data in the energy sector.
Which AI Stock Is the Better Buy?
Turning to Wall Street, out of the two stocks mentioned above, analysts think that NVDA stock has more room to run than IBM. In fact, NVDA’s price target of $177.23 per share implies more than 53% upside versus IBM’s 5.3%.
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