Saturday, March 11, 2017

How GPUs and Deep Learning Are Fueling the Financial Industry

Milliseconds matter in the financial industry. Lightning-quick insights, executed instantly, drive profits. The key is making smart decisions faster than the competition, and it all comes down to leveraging big data. Faster analytics offer a big advantage. With conventional computing pushed to its limits, the financial industry is moving toward GPUs. Banks and investment companies are turning to NVIDIA GPUs and NVIDIA DGX-1, the world’s first purpose-built system for deep learning and AI accelerated analytics, and Kinetica’s GPU-accelerated, in-memory, distributed database for truly real-time analytics demands, including fraud analysis, risk management and algorithmic trading.

For financial traders and portfolio managers, it comes down to making portfolio risk calculations. Five years ago, a trader had to extract data and transfer it to specialized systems to perform advanced analytics and modeling. Mathematically intensive risk calculations were typically performed overnight in batch, which made it difficult to respond to market changes in real time.
With the advancements in GPUs and deep learning, it’s now possible to perform data exploration, model development/scoring and model consumption on a single compute-heavy platform with Kinetica and NVIDIA GPUs.