Product/Technical Marketing Professional with experience in disruptive technology driven innovation. Key player in a technical marketing/product development team to meet customer and end user demands with strong customer orientation, strategic planning and leadership skills.
AI infrastructure buildouts face NAND and DRAM supply constraints and demand faster deployment. Storage decisions can no longer assume ideal component availability or long qualification timelines. This session focuses on practical drive characterization and selection strategies that work under real‑world constraints, emphasizing QLC SSDs, limited‑DRAM designs, and large‑scale deployments.
The discussion centers on workload‑aligned metrics—latency consistency, sustained throughput, write behavior, and endurance—rather than peak benchmarks. We also explore how these trade‑offs map to emerging AI system architectures, including NVIDIA‑declared ICMS, where storage behavior directly impacts system efficiency and cost.
The session covers techniques to accelerate drive qualification at scale, including OCP inspired workload tuning, simplified preconditioning, and faster qualification. These approaches reduce time‑to‑deployment while maintaining confidence in drive behavior across fleets.