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Explore Bernie Wu, MemVerge | theCUBE + NYSE Wired: AI Data Pipeline Forum 2026 with 6,818 views, 113 likes, and 0 comments. Experience the impact of this video content that has captured audience attention.

In this interview from the AI Data Pipeline Forum 2026, Bernie Wu, senior advisor to the chief executive officer of MemVerge Inc., joins theCUBE's John Furrier to discuss how memory architecture is becoming the critical constraint shaping AI infrastructure. Wu explains how MemVerge's software ties emerging hardware innovations into AI inferencing workflows, building memory architectures that serve both GPU-native and human-native needs. He details how CXL memory is emerging as a new tier, sitting between system memory and SSD storage, extending a richer hierarchy at both ends as agentic AI drives longer data retention requirements. The conversation explores how GPU-driven workloads have reset traditional storage assumptions, shifting from random single-piece lookups to highly parallelized, batched access patterns. Wu unpacks KV caching, noting how reusing pre-computed embeddings keeps expensive GPUs fed and contrasts with traditional storage's focus on protecting every bit. He touches on fault tolerance and persistence becoming more important again as recompute at scale grows costlier, and highlights MemVerge's commitment to open, GPU-agnostic and storage-agnostic architectures, which is why OCP is a key event for the company. From the revival of hierarchical storage management to the rise of fine-grained, indexable big memory, Wu outlines why the infrastructure stack is being rebuilt from the ground up for the inferencing era. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - AI Memory Management and CXL Tiering 03:46 - Optimizing Storage Architecture for GPU Workloads 07:14 - Open, Fine-Grained Access to Big Memory 09:53 - Scaling AI Infrastructure Through Open Standards #theCUBE #AIDataPipelineForum #theCUBEresearch #MemVerge #AI #OpenCompute

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