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SNIA Developer Conference September 15-17, 2025 | Santa Clara, CA

SMTS, Storage Solutions Architect

Micron Technology

Wes Vaske is a seasoned Storage Solutions Architect with over 15 years of experience in data center storage systems, currently focused on high-performance NVMe solutions optimized for AI workloads. At Micron Technology, Wes plays a pivotal role in shaping next-generation storage architectures that meet the demanding performance and efficiency needs of AI-driven data centers. He is a lead contributor to the MLPerf Storage Working Group, where he helps define industry benchmarks for AI storage performance. Wes has been instrumental in developing automation frameworks for workload execution and system observation, enabling reproducible and insightful performance analysis across diverse environments. Prior to his current role, Wes led the Data Center Workloads Engineering team for a decade, where he pioneered system observation, tracing, and analysis tools that have become foundational to Micron’s workload-first product development strategy. His earlier career includes performance engineering for Oracle RAC database systems at Dell Technologies. Wes holds a B.S. in Physics from Iowa State University and continues to drive innovation at the intersection of storage, AI, and systems performance.

Related Sessions

AI / ML

Discussion and Analysis of the MLPerf Storage Benchmark Suite and AI Storage Workloads

Storage for AI is rapidly changing: Checkpointing becomes more important as clusters scale to more accelerators, managing large KV-Caches from LLM queries shifts inference bottlenecks to storage, accessing relevant data via VectorDB similarity searches drives small IOs for nearly every query, and future applications may require wildly different storage architectures. The MLPerf Storage v2.0 Benchmark Results were just released and the v2.5 suite is under active development. In this session we go over the Checkpointing benchmark added to v2.0 and the KV Cache Management and VectorDB benchmarks planned for v2.5. We will analyze IO traces of the workloads to understand how these workloads translate from the application layer to storage and discuss how these workloads may drive future storage performance requirements.

Wesley Vaske
SMTS, Storage Solutions Architect
Micron Technology
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