Subject archive for "nvidia"
NVIDIA GTC 2024: We have the power, now we must tame it to build our AI-driven future
If there is one word to sum up this year’s NVIDIA GTC conference, it is “Power.” It's up to us to figure out how to use it.
By Kjell Carlsson2 min read
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
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
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
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
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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