Stripe deepens collaboration with NVIDIA to improve fraud detection for its customers

Stripe, a financial infrastructure platform for businesses, announced „a new collaboration with NVIDIA that will advance AI for Stripe and improve fraud detection for its customers” – according to the press release.

„With Stripe, NVIDIA will expand global access to NVIDIA GPUs and NVIDIA AI software, by enabling developers and enterprises to prepay for select NVIDIA cloud services.” – the company said.

For much of its history, Stripe has relied on NVIDIA’s accelerated computing platform to train its machine learning models. At its current scale, processing more than a trillion dollars a year, Stripe is well positioned to put AI—and in particular, NVIDIA’s AI platform—to work to help businesses drive growth.

Stripe’s Optimized Checkout Suite enables businesses like OpenAI, Slack, and River Island to build a high-performing checkout flow, using AI to determine which payment methods to show for any given customer. Stripe Radar, too, uses NVIDIA’s AI platform to help improve the speed and accuracy of fraud detection.

Earlier this year, Stripe unveiled Radar Assistant, an AI-powered feature that allows businesses to use natural language prompts to describe new fraud rules they’d like to set. Stripe also makes it easy for any engineer to develop on NVIDIA Tensor Core GPUs and iterate on Stripe Railyard.

“At Stripe, we’ve been busy building a bunch of functionality that’s useful for AI products generally, including usage-based billing to handle inference costs, Link for higher-converting checkouts, and support for a lot more local payment methods since these products are typically global from day one. Stripe Billing, in particular, has seen major uptake by AI companies,” said Patrick Collison, Stripe cofounder and CEO.

In April, Huang joined Collison for a fireside chat at Stripe Sessions, Stripe’s annual user conference. Their conversation covered a range of topics, including the challenges and opportunities of leading high-growth organizations, the evolution of generative AI, and NVIDIA’s leadership in, as Huang described it, AI’s “new industrial revolution.”