JPMorgan Chase, the largest bank in the US by assets, has selected SambaNova Systems as its inference partner for on-premises AI workloads. The deployment includes SambaNova’s SN40 and SN50 Reconfigurable Dataflow Units, purpose-built AI accelerators designed to run models without shipping data to someone else’s servers.
The deal and what’s behind it
The partnership arrives at a moment when SambaNova is riding serious momentum. The company completed the first close of a $1 billion Series F funding round on July 8, 2026, pushing its post-money valuation to $11 billion. General Atlantic led the round, with Intel Capital also participating.
For a company founded in 2017 with the explicit goal of challenging Nvidia’s dominance in AI hardware, landing JPMorgan as a flagship client is the kind of validation that money alone can’t buy. SambaNova’s Reconfigurable Dataflow Units take a fundamentally different architectural approach, one that the company argues is better suited for enterprise inference workloads where consistency and security matter more than raw training throughput.
Rodrigo Liang, SambaNova’s CEO, highlighted JPMorgan’s commitment as a signal of the technology’s readiness for the most demanding enterprise environments. On the bank’s side, CIO Darrin Alves emphasized the need for high performance and reliability in AI infrastructure.
