Subject archive for "nvidia"

Speeding cars at night in Hong Kong (Photo by Jimmy Chan: https://www.pexels.com/photo/time-lapse-photography-of-road-near-buildings-2552595/)
NVIDIA

Crush Pandas Speed Barriers with NVIDIA GPUs on Domino

See how NVIDIA's RAPIDS v23.10 revolutionizes AI workloads with GPU-accelerated Pandas on Domino, offering massive speed boosts and data handling efficiency.

By Yuval Zukerman4 min read

Perspective

NVIDIA’s Mona Flores: How Medical AI and Federated Learning Power Innovation

What if machine learning and data scattered around the world held the keys to the cures for a variety of rare or new diseases? Until recently, it was often nearly impossible to use that data, due in part to the data privacy restrictions in place around the world. That’s starting to change, thanks to federated learning and the innovative work of doctors such as Mona Flores, head of medical AI at NVIDIA.

By Lisa Stapleton4 min read

Python

Snowflake and RAPIDS For On-Demand Computing by a Storm

With data being quoted as the oil of the 21st century and data science being labeled as the sexiest job of the century, we're seeing a sharp rise in data science and machine learning applications in every field. In IT, finance, and business, predictive analytics is disrupting every industry.

By Richard Ecker8 min read

Company Updates

Data Center-Ready MLOps: Domino now validated for NVIDIA AI Enterprise

Today, Domino Data Lab is announcing the validation of Domino’s enterprise MLOps platform integrated with NVIDIA AI Enterprise and VMware vSphere with Tanzu, helping enterprises worldwide manage data science and AI workloads using mainstream servers. Domino is the first MLOps software NVIDIA has validated with the NVIDIA AI Enterprise software suite to provide the highest performance and compatibility on NVIDIA-certified Systems from leading server providers.

By Thomas Robinson6 min read

Company Updates

Democratizing GPU Access for MLOps: Domino Expands Support to NVIDIA AI Enterprise

The trend from our customers is clear: GPU-based training is a competitive advantage for enterprises building increasingly sophisticated models. We see this in everything fromNLP for predictive supply chains to image processing for histopathology in clinical trials, andpredictive maintenance for energy infrastructure to automatic claims resolution in insurance.

By Thomas Robinson5 min read

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