Shownotes
AI workloads are pushing traditional IT infrastructure to its limits. In this episode, we break down how AI storage and servers must evolve to handle massive datasets, high-speed processing, and scalable performance. We’ll explore key challenges like latency, bandwidth, and the role of NVMe SSDs, high-capacity storage tiers, and GPU acceleration.
Join us as we discuss:
✅ Why AI needs specialized storage & compute solutions
✅ How to balance speed, scalability, and cost for AI workloads
✅ The role of hybrid and cloud storage in AI operations
✅ Real-world use cases of AI-driven data…
Website: share.transistor.fm
