London Medical Imaging & AI Centre Speeds Up Research with Run:AI
King’s College London
M Jorge Cardoso
Associate Professor

NVIDIA Run:ai accelerates AI and machine learning operations by addressing key infrastructure challenges through dynamic resource allocation, comprehensive AI life-cycle support, and strategic resource management. By pooling resources across environments and utilizing advanced orchestration, NVIDIA Run:ai significantly enhances GPU efficiency and workload capacity. With support for public clouds, private clouds, hybrid environments, or on-premises data centers, NVIDIA Run:ai provides unparalleled flexibility and adaptability.
Showing 7 NVIDIA Run:ai Customer Success Stories
King’s College London
M Jorge Cardoso
Associate Professor
Leading Global Bank
Multinational Company
NVIDIA
Salk Institute
Talmo Pereira
Fellow & Principal Investigator
Wayve
Siddharth Sharma
Sr. Research Engineer
Zebra Technologies
Andrea Mirabelle
Sr. Manager, Computer Vision
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