What makes Intel Optane stand out (2023)

Original Article ↗ Hacker News Discussion ↗

Technical strengths of Optane (3D XPoint)

  • Extremely low latency, especially for small, random and mixed read/write I/O.
  • Very high write endurance (DWPD / TBW) compared to TLC/QLC SSDs; some say orders of magnitude higher in practice.
  • Performance remains consistent: no need for TRIM/GC in the same way as NAND, no typical degradation over time.
  • Particularly strong in mixed workloads (50/50 read/write), where NAND’s write penalties dominate.

Real-world use cases and experiences

  • Praised as “ideal” for database logs, ZFS ZIL, swap, caches, and OS boot volumes.
  • Benchmarks in the thread show Optane NVMe (and especially PDIMMs) vastly outperforming high-end NAND SSDs on random and mixed I/O, while losing on pure sequential throughput.
  • Used successfully for dashcam recording, routers, media servers, and homelabs; users report excellent reliability over years.

Why it didn’t succeed (economic and strategic factors)

  • High $/GB versus rapidly improving TLC/QLC SSDs; many workloads were “good enough” on cheaper flash.
  • Market that truly needs extreme endurance and low latency is small and shrinking.
  • Some argue Optane didn’t win even on TBW-per-dollar; others strongly dispute this and claim it was far ahead.
  • Intel kept the tech proprietary, with limited partners and unclear pricing strategy.

Product design, ecosystem, and marketing problems

  • PDIMMs were awkward: mixed-speed memory tiers, tricky persistence semantics, and poor programming model.
  • NVMe Optane drives’ advantages were partially masked by OS/filesystems optimized for NAND assumptions.
  • Branding was confusing (“Optane memory” as cache, hybrid Optane+QLC devices, laptop configs advertised as “20GB memory”), causing misunderstanding and distrust.
  • Intel is described as having internal coordination issues and a pattern of killing promising projects just as ecosystems might form.

Technology limits and unclear points

  • Some discuss rumors that Optane couldn’t shrink or scale cost-effectively; others call this only “half-plausible.”
  • Power usage for writes and lack of clear shrink/3D roadmap may have hurt long-term viability.
  • No clear consensus on whether a focused, right-sized fab or AI-related use could have saved it.