Running AI workloads relies on both RAM and SSDs, which act as a real‑time computing workspace and a high‑speed data warehouse respectively. RAM capacity determines whether an AI model can be loaded smoothly and how fast it runs, while the SSD affects model startup time and the data feeding efficiency during training.
As traditional DDR architecture approaches its physical limits, MRDIMM, with its multiplexing architecture that doubles effective bandwidth, has emerged as a next-generation technical path for breaking through memory bottlenecks.
Yes, you can absolutely use SSDs for NAS storage. SSDs are widely adopted in modern NAS systems for better performance and stability. You can deploy SSDs as full storage drives, system disks, or cache drives to accelerate traditional HDD storage pools.
Modern enterprise SSDs typically have an annual failure rate between 0.3% and 0.6% in standard data center environments, with high‑end enterprise models achieving rated values as low as 0.1% to 0.2%. These drives are widely considered to be more reliable.
External SSDs work well for gaming and deliver a far better experience than external hard drives, though their real-world performance depends on your device’s interface and platform. For PCs and handheld gaming devices with USB 3.2 Gen 2 or faster ports, external SSDs produce no noticeable frame rate drops.
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