What makes Intel Optane stand out (2023)

Original Article ↗ Hacker News Discussion ↗

Intel’s Optane (3D XPoint) memory offered near-RAM latency, extreme write endurance, and strong mixed read/write performance, making it uniquely attractive for databases, ZFS logs, swap, and other write-heavy workloads. Yet it failed commercially due to high cost per GB, limited ecosystem and software support, confusing product positioning (DIMMs vs NVMe, “memory” vs storage), and an apparent lack of a viable scaling roadmap. Commenters note that while mainstream TLC/QLC SSDs became “good enough” and far cheaper, nothing has truly replaced Optane’s combination of latency and durability for niche high-performance use cases.

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.