NVIDIA GPU Cloud Machine Images on Oracle Cloud Marketplace are now certified and supported with NVIDIA AI Enterprise, an end-to-end, secure, cloud native suite of AI software that enables organizations to solve new challenges while increasing operational efficiency. NVIDIA AI Enterprise accelerates the data science pipeline and streamlines the development and deployment of predictive artificial intelligence (AI) models to automate essential processes and gain rapid insights from data.
Organizations with a hybrid and multicloud strategy now have the flexibility to run NVIDIA AI Enterprise on Oracle Cloud Infrastructure (OCI)’s GPU-accelerated instances. Customers using NVIDIA AI Enterprise software on-premises or who have purchased a license through one of NVIDIA’s channel partners can now deploy in OCI with full support from NVIDIA on the following supported instances:
With NVIDIA AI Enterprise 3.0, customers get access to AI solution workflows that run as cloud native microservices. Enterprises can deploy these microservices on Kubernetes clusters, including Oracle Container Engine for Kubernetes (OKE). You can deploy these microservices as standalone containers or combined with other microservices to create enterprise-grade applications.
Key use cases enabled by new AI solution workflows exclusively supported in NVIDIA AI Enterprise 3.0 include contact-center intelligent virtual assistants, AI audio transcription, and AI digital fingerprinting for cybersecurity threat detection. To learn more, see the following resources:
For more information on Oracle Cloud Infrastructure’s capabilities to support artificial intelligence and machine learning workloads, visit our AI/ML innovation page or contact one of our AI/ML experts.
Akshai is a Director of Product Marketing for Oracle Cloud Infrastructure (OCI) focused on driving adoption of OCI’s services and solutions. He is a graduate of UC Berkeley and Georgia Tech. When not working, he enjoys keeping up with the latest in technology and business.
Charlie Huang is a senior product marketing manager in the Enterprise Computing Group at NVIDIA. Charlie is responsible for taking NVIDIA enterprise software and accelerated computing to market. He has vast experience in AI/ML, computer graphics, data center solutions, end user/client computing, and security. His roles have included product management and marketing, business development, sales engineering, and strategic alliances. Charlie holds a B.S. in electrical engineering and computer science from UC Berkeley, M.B.A. and M.S. in engineering management from Santa Clara University