Val Bercovici | Chief AI Officer
WEKA
Valentin (Val) Bercovici is the Chief AI Officer at WEKA. He has extensive experience in the data infrastructure industry, having previously been the Chief Technology Officer at NetApp/SolidFire, where he drove innovation in cloud storage and data management solutions. Val co-authored the Windows Shadowcopy snapshots and has made significant contributions to the storage standards community. As Co-chair of the Storage Networking Industry Association's (SNIA) Solid State Storage Initiative, Val helped to establish the first NAND Flash SSD storage standards. Additionally, Val served as the Chair of the SNIA Cloud Storage Initiative (CSI), where he led the development of the international S3 standard CDMI (ISO 17826). He was also a founding member of the Kubernetes Cloud Native Computing Foundation’s Governing Board, helping to shape the global direction of container orchestration. Val holds patents in AI agent smart contracts, streaming data integrity, and augmented reality (AR) for data center maintenance. His work continues to push the boundaries of what’s possible at the intersection of AI, cloud, and emerging technologies.
Appearances:
Future of Memory and Storage - Day 1 @ 16:30
Future AI Inference Architectures: Memory-Centric Systems and Emerging Data Center Paradigms
AI infrastructure is shifting from training-heavy, compute-bound systems to inference-dominated deployments constrained by memory bandwidth, capacity, data movement, and power. As model weights, embeddings, and KV caches expand, architectural innovation is moving beyond traditional GPU scaling toward wafer-scale systems, memory-first dataflow accelerators, chiplet-based inference ASICs, and inference-specialized designs.
Future of Memory and Storage - Day 3 @ 09:45
Panel Discussion - The Future of KV$
Transformer-based generative AI has turned the key/value (KV) cache into one of the largest and most performance-critical working sets in modern AI systems. As context windows grow and request concurrency rises, KVCache capacity and bandwidth increasingly determine latency, throughput, and total cost; often driving decisions around GPU/HBM sizing, host memory, and storage tiering. This session brings together system builders and memory/storage architects to examine KVCache management end to end: data layout and access patterns; paging, allocation, and eviction; compression and quantization; multi-GPU and multi-node sharing; tiering and offload to host DRAM and NVMe/SSD; and reliability, isolation, and security considerations in multi-tenant deployments. We will connect software techniques to emerging hardware directions (e.g., higher-bandwidth memory, pooling/tiering, and disaggregated memory/storage) and highlight where cross-layer co-design is needed. Attendees will leave with a practical taxonomy of KVCache techniques, guidance on when to use each approach, and a set of metrics and workload characteristics to evaluate solutions in production.
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