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Advanced Storage Optimization Strategies for Dynamic Production AI Workloads (Presented by DDN)
In the rapidly evolving landscape of artificial intelligence and machine learning, the NVIDIA AI Enterprise Platform has emerged as a cornerstone for production-grade AI applications. However, the true potential of such a powerful platform can only be harnessed with robust and efficient end-to-end infrastructure. This session explores the unique challenges to storage posed by dynamic AI workloads, including the need for high-speed data access, scalability, and adaptability in ever-changing computational environments, and how to addresses these challenges head-on with architectures designed specifically for virtualized and cloud AI environments. You'll leave with a comprehensive understanding of how to relieve your organization of the burden of maintaining and securing the complex data infrastructure behind production AI, freeing you to focus on building out applications and harnessing game-changing insights.
活动: GTC 24
日期: March 2024
行业: 所有行业
级别: 初级技术
NVIDIA 技术: Cloud / Data Center GPU,Ethernet Networking,Grace CPU,Infiniband Networking