Releases

Red Hat introduced RHEL AI as a foundation-model platform for developing, testing and running open models.

IBM agreed to acquire HashiCorp to expand hybrid-cloud automation for infrastructure supporting generative AI.

IBM and Meta convened the AI Alliance to advance open, safe and responsible AI innovation.

IBM released governance tooling for model risk, transparency, compliance and lifecycle oversight.

IBM released generative coding assistants for Red Hat Ansible automation and mainframe application modernization.

IBM Research published a memory-centric neural inference chip designed for high energy efficiency.

IBM made its first 13B Granite enterprise language models available through watsonx.ai.

IBM released the first enterprise-focused Granite language and code models in watsonx.

IBM launched its open lakehouse data store optimized for governed analytics and AI workloads.

IBM began general availability of its foundation-model and machine-learning development studio.

IBM Consulting launched a center with more than 1,000 specialists to support enterprise generative-AI adoption.

IBM Consulting announced a dedicated generative-AI center and delivery practice alongside watsonx.

IBM announced watsonx as an integrated AI and data platform for enterprise foundation-model development and governance.

IBM Research disclosed an AI accelerator built for efficient enterprise inference.

IBM introduced z16 with Telum-powered real-time AI inference for mission-critical transactions.

IBM agreed to sell healthcare data and analytics assets from Watson Health to Francisco Partners.

The Telum announcement established a new generation of IBM infrastructure with integrated AI acceleration.

IBM unveiled Telum with on-chip AI acceleration for high-volume transactional inference.

The completed Red Hat acquisition established the hybrid-cloud and open-source platform underpinning IBM's later AI portfolio.

IBM completed its acquisition of Red Hat to anchor an open hybrid-cloud platform for enterprise software and AI.

IBM Research demonstrated an AI system that generated evidence-backed arguments and debated a human expert.

IBM commercialized enterprise conversational-AI tooling that evolved into watsonx Assistant.

IBM launched an AI-powered enterprise search and document-understanding service.

IBM created Watson Health to apply data and cognitive-computing technologies across healthcare and life sciences.

IBM publicly demonstrated its DeepQA question-answering architecture through the Jeopardy! competition.

IBM Watson defeated champions Ken Jennings and Brad Rutter in the Jeopardy! exhibition, demonstrating large-scale open-domain question answering.

IBM's Deep Blue defeated world chess champion Garry Kasparov in a six-game match.

IBM researchers began foundational work in machine learning, game-playing systems and artificial intelligence during the field's formative era.

The company that became IBM was incorporated as the Computing-Tabulating-Recording Company.