Join us at #FMS2026 to see how we're building the storage foundation with our partner ecosystem to meet the demands of agentic AI. Catch us across multiple sessions: ➡️ Redefining Data Center Storage for the AI Era with Flash Memory and SSDs with KIOXIA and Jason Hardy ➡️ Memory Solutions to Scale AI Data Pipeline with ScaleFlux and Jason Hardy ➡️ Balancing Memory and Storage to Operate AI Factories and Agents at Scale with John F. Kim and Vikram Sharma Mailthody | NVIDIA Panel Session with Everpure, KIOXIA, and Micron Technology ➡️ Storage Ecosystem for Emerging AI Applications with CJ Newburn and Vikram Sharma Mailthody ➡️ Thermal Evolution for Next-Generation SSDs: From Air to Liquid Cooling and Enabling AI Inference at Scale with Solidigm and Jay Gite Explore the full agenda ➡️ https://bit.ly/4frGXM1
Interesting content. See you soon.
Jason, the lineup looks spot‑on for where the industry is heading. I’ve been wrestling with the latency gap between flash and emerging persistent‑memory tiers in a couple of AI‑driven edge deployments, and the “Balancing Memory and Storage” session should hit a lot of the same pain points we’re seeing on the ground. I’m especially curious about the liquid‑cooling angle you mentioned with Solidigm. In our last data‑center refresh we tried a hybrid air‑to‑liquid approach, but the control software felt like a black box. Do you think the newer thermal stacks will finally give us the predictability we need for continuous inference workloads? If you have a quick takeaway from the KIOXIA talk, I’d love to hear it—especially around how they’re handling endurance under the agentic‑AI workload patterns we’re starting to see in production.