IBM

A $240 million IBM Cloud deal with Together AI marked IBM’s recent push to pair Nvidia-backed AI infrastructure with its enterprise platform.

Who they are

IBM appears in the coverage as an enterprise-technology incumbent extending its cloud, mainframe and quantum-computing franchises into the AI era. Stories connect the company to IBM Cloud, IBM Z and LinuxONE, z/OS, Watson, Red Hat and quantum hardware, while its partnerships place it alongside companies including Apple, Nvidia, Together AI and Vercel.

The recent arc

Recent coverage peaked in 2026 Q3 and shifted toward infrastructure and platform modernization. Reuters reported that IBM and Together AI signed a $240 million multiyear agreement for an AI inference cluster on IBM Cloud using Nvidia HGX B300 systems to support open-source models. VentureBeat then reported IBM’s dual-architecture processor for IBM Z and LinuxONE, designed to natively run z/OS workloads and Arm applications.

The tension

The coverage centers on whether IBM can turn its installed enterprise base into an advantage as AI reshapes infrastructure spending. Its cloud buildout with Together AI and Nvidia contrasts with signs of pressure: IBM lowered its 2026 forecast, reported infrastructure revenue down year over year, and saw shares fall after CEO Arvind Krishna said customers were shifting spending to chips. Anthropic’s claims for Claude Code in COBOL exploration and analysis sharpen the question around the value and defensibility of IBM’s legacy-modernization position.

Why it matters

If IBM can combine mainframe-native computing, cloud inference capacity and quantum research into deployable enterprise systems, it may preserve relevance where customers cannot quickly replace core workloads. The countervailing evidence is that the same AI and chip-spending transition can redirect budgets away from IBM’s existing infrastructure, making execution across its partnerships and platform roadmap more consequential than announcements alone.

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