IBM announced on Thursday that it is making its AI software-development platform available for on-premises, private-cloud, sovereign-cloud, and air-gapped environments. This move allows the company’s agentic software-development platform, known as IBM Bob, to run inside customer-controlled infrastructure.
The decision is driven by data sensitivity and regulatory requirements. According to a June 2026 study by IBM’s Institute for Business Value, 68% of surveyed executives reported challenges in meeting data-residency and sovereignty requirements across geographies. By bringing the AI to the data rather than moving data to the cloud, IBM aims to address these constraints for sectors like financial institutions, governments, and healthcare.
IBM stated that this strategy fits a broader shift toward enterprise-scale deployment. In its second-quarter results, the company noted that its Red Hat, watsonx, and HashiCorp businesses were benefiting as customers moved from experimentation to deployment. Additionally, IBM reported that its Power and Storage businesses had built an order backlog of nearly $500 million.
Financially, IBM generated $17.2 billion in second-quarter revenue, with its software business growing 5% year over year to $7.8 billion. The company expects 2026 constant-currency revenue growth of 4% to 5%. IBM emphasized that its goal is not to compete directly with Nvidia or hyperscalers on infrastructure, but to control the layer that determines where enterprise AI runs and how it is governed.
