JPMorgan Chase has selected SambaNova, an artificial intelligence chip startup, to serve as an infrastructure partner for its internal computing needs. The financial institution plans to deploy SambaNova’s SN40 and SN50 systems to handle on-premises AI inference tasks. This move allows the bank to keep production artificial intelligence operations within its own facilities, ensuring full control over data and maintaining an auditable trail.
Darrin Alves, the chief information officer for infrastructure platforms at JPMorgan Chase, emphasized the strict requirements for the bank’s technology. He stated that AI infrastructure must meet high standards for performance, control, and reliability. Alves expressed enthusiasm about testing the speed and security of SambaNova’s RDU architecture for the bank’s demanding enterprise AI workloads.
The bank has significantly increased its investment in artificial intelligence over the past year. It is currently deploying models from Anthropic and OpenAI to double the number of use cases for the technology. These efforts focus on improving customer service and supporting the firm’s technology workers. In October, CEO Jamie Dimon disclosed that the bank spends approximately $2 billion annually on AI development, which represents about one-tenth of its total technology budget. Dimon noted that the technology has saved the bank a similar amount.
The agreement coincides with SambaNova securing $1 billion in strategic financing as part of a Series F funding round. This investment values the company at $11 billion. General Atlantic led the funding, with participation from various other investors. SambaNova is competing with Nvidia to lead the next generation of AI infrastructure by providing a full-stack platform for premium inference. The company serves enterprises, neo-clouds, AI labs, service providers, and sovereign AI initiatives.
Martín Escobari, co-president and head of global growth equity at General Atlantic, described SambaNova’s platform as differentiated for a market where inference is foundational to enterprise transformation. He noted that the company is driving technical innovation to achieve commercial momentum as demand for inference accelerates ahead of supply.
