Jump Trading

Today, Jump Trading became one of the first financial services firms to deploy NVIDIA’s Vera Rubin NVL72 system — a rack-scale AI supercomputer built for frontier AI research. We’ve worked with NVIDIA for more than 15 years. In that time, the complexity of our research has grown dramatically. Markets are dynamic, adversarial, and constantly evolving. We run thousands of models across conventional and novel architectures, retraining continuously. Performance is determined by how fast we can experiment, test, and iterate. Our work goes beyond mainstream LLM inference. NVIDIA CUDA has given us the flexibility and programmability to explore ideas that would be difficult to replicate elsewhere. Vera Rubin NVL72 is the next step: greater compute density, stronger memory bandwidth, and significantly improved performance per watt. Which means more experiments, faster, at scale. We don’t treat infrastructure as a series of upgrades. We treat it as a long-term strategic platform. Each generation compounds. Jump is a deep learning research company in the business of predicting the future. We’re building an AI trading factory designed for curiosity, rigor, and hard problems across HPC, mathematics, and markets. We invest in what’s next. Then we build it. 👉 Learn more about our AI/ML work: https://lnkd.in/g9GPGiCE 👉 Read the full announcement: https://lnkd.in/g-E64z87

The next wave of AI breakthroughs won't come from scaling alone. They'll come from understanding intelligence itself.   We're partnering with UCL's Gatsby Computational Neuroscience Unit to fund 4 PhD scholarships starting in 2026.   The Gatsby Unit has spent decades asking foundational questions about learning, representation, and intelligent systems. The kind of questions that don't always have clean answers. The questions that tend to matter.                We're interested in how complex systems learn under uncertainty. Markets are one example. Brains are another. Both process incomplete information. Both adapt to changing environments. Both reward models that can separate signal from noise.   Our research and infrastructure are built around that reality.   This partnership builds on the Jump Trading Fellowships we established in 2025 and our broader support for research across mathematics, physics, AI, computer science, and the sciences.   👉 Discover how we're building the future of AI/ML at Jump, and who's building it with us: https://lnkd.in/g9GPGiCE   👉 Read about our partnership here: https://lnkd.in/ekcHZaNh