Hudson River Trading Latest to Sign with Google Cloud

Following similar deals with Citadel Securities and Two Sigma, Google Cloud has unveiled a collaboration with Hudson River Trading (HRT) to help development of the firm’s automated trading models.

Under the terms of the deal, Google Cloud is providing HRT with access to its computing infrastructure, including AI chips such as NVIDIA GPUs, to run complex research workloads and trading simulations at scale. The firms add that HRT’s quant researchers will no longer be limited to on-premise assets and can now test new strategies in a shorter amount of time in a cost-effective manner, allowing them to better react to the market.

“HRT’s collaboration with Google Cloud’s scalable and reliable infrastructure is a perfect fit for our compute-intensive workloads,” says Gerard Bernabeu Altayo, compute lead, Hudson River Trading. “Google Cloud provides an efficient, flexible platform to rapidly iterate on ideas, with tooling and vast resources to enable a fast path from inception to scale-out production.”

Google Cloud’s Dynamic Workload Scheduler product and Spot Virtual Machines are also playing a crucial role in optimising HRT’s compute resources by enhancing access to GPUs, the firms say. This intelligently allocates AI chips based on real-time demand, ensuring efficient utilisation of compute capacity. Spot Preemptible allows HRT to take advantage of unused Google Cloud capacity at a significantly lower cost.

“Google Cloud is proud to partner with Hudson River Trading on their journey to redefine the frontiers of quantitative trading,” says Rohit Bhat, managing director, capital markets, hedge funds, and digital assets, Google Cloud. “By providing our computing and AI infrastructure, we are joining HRT in pushing the boundaries of what is possible in automated trading with speed, scale, and efficiency at the core.”