IBM and Groq partner to speed up enterprise AI deployment

Published 20/10/2025, 11:18
© Reuters.

ARMONK, N.Y./MOUNTAIN VIEW, Calif. - IBM (NYSE:IBM), a prominent player in the IT Services industry with a market capitalization of $262 billion and whose stock has surged over 30% year-to-date, announced a strategic partnership Monday with Groq aimed at integrating Groq’s inference technology with IBM’s watsonx Orchestrate to enhance AI capabilities for enterprise clients.

The collaboration will provide IBM clients with access to GroqCloud’s high-speed AI inference capabilities, which the companies claim delivers over five times faster and more cost-efficient inference than traditional GPU systems. According to InvestingPro data, IBM’s strong financial position, with $64 billion in revenue and $14.2 billion in EBITDA, positions it well to invest in such transformative technologies.

Under the partnership, IBM and Groq plan to integrate and enhance Red Hat open source vLLM technology with Groq’s LPU architecture. IBM will also make its Granite models available on GroqCloud for its clients.

The partnership targets enterprises facing challenges with speed, cost, and reliability when moving AI agents from pilot to production, particularly in sectors like healthcare, finance, government, retail, and manufacturing.

"Many large enterprise organizations have a range of options with AI inferencing when they’re experimenting, but when they want to go into production, they must ensure complex workflows can be deployed successfully," said Rob Thomas, SVP, Software and Chief Commercial Officer at IBM.

Jonathan Ross, CEO and Founder at Groq, said the partnership aims to transform "how enterprises work with AI, moving from experimentation to enterprise-wide adoption."

IBM will offer immediate access to GroqCloud’s capabilities, focusing on delivering high-speed inference, security and privacy-focused AI deployment, and seamless integration with watsonx Orchestrate.

The companies stated the partnership will address key AI developer needs, including inference orchestration, load balancing, and hardware acceleration.

According to the press release statement, IBM healthcare clients are already using the technology to analyze patient questions in real-time, while retail and consumer packaged goods clients are applying it to automate HR processes. With IBM’s stock trading near its 52-week high, investors seeking deeper insights into the company’s AI initiatives and financial outlook can access comprehensive analysis through InvestingPro’s detailed research reports, which cover over 1,400 top US stocks with expert analysis and actionable intelligence.

In other recent news, IBM has announced its acquisition of Cognitus, a Dallas-based SAP services provider specializing in SAP S/4HANA implementations. This move is expected to enhance IBM’s capabilities in various complex and regulated industries, including Aerospace and Defense, Energy and Utilities, and Manufacturing. Additionally, IBM has partnered with Bharti Airtel to expand its cloud services in India, increasing the availability zones for the Airtel Cloud platform from four to ten, targeting enterprises in sectors like banking and healthcare.

IBM has also formed a strategic partnership with S&P Global to integrate its watsonx Orchestrate AI framework into S&P Global’s supply chain management solutions, aiming to improve visibility and vendor selection tools. RBC Capital has maintained an Outperform rating and a $315 price target for IBM ahead of its third-quarter earnings report, anticipating solid results. The firm suggests that investors will focus on both overall revenue and its sub-components. These developments highlight IBM’s ongoing efforts to strengthen its service offerings and expand its market reach.

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

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