Prabhu Ramamoorthy

May 31, 2024 | blogs.nvidia.com | Prabhu Ramamoorthy

After the 2008 financial crisis and increased risk-management regulations that followed, Pierre Spatz anticipated banks would focus on reducing computing expenses. As head of quantitative research at Murex, a trading and risk management software company based in Paris, Spatz adopted NVIDIA’s CUDA and GPU-accelerated computing, aiming for top performance and energy efficiency. Always seeking the latest technologies, the company’s quants team has begun trials of the NVIDIA Grace Hopper Superchip.

Sep 28, 2023 | developer.nvidia.com | Prabhu Ramamoorthy

Generative AI is taking the world by storm, from large language models (LLMs) to generative pretrained transformer (GPT) models to diffusion models. NVIDIA is uniquely positioned to accelerate generative AI workloads, but also those for data processing, analytics, high-performance computing (HPC), quantitative financial applications, and more. NVIDIA offers a one-stop solution for diverse workload needs.

May 19, 2023 | developer.nvidia.com | mark bennett |Prabhu Ramamoorthy |Andrew Briand |Vinay Deshpande

In the high-frequency trading world, thousands of market participants interact daily. In fact, high-frequency trading accounts for more than half of the US equity trading volume, according to the paper High-Frequency Trading Synchronizes Prices in Financial Markets. Market makers are the big players on the sell side who provide liquidity in the market. Speculators are on the buy side, running experiments and researching processes they expect to profit from.