Every GPU That Mattered

Original Article ↗ Hacker News Discussion ↗

Nostalgia and Long‑Lived Hardware

  • Many reminisce about “dream machines” built around cards like the 8800 GT, 1080 Ti, 980 Ti, RX 580, and 5700 XT, often kept in service for 5–10 years.
  • Several still run older CPUs/GPUs (e.g., i7‑4790K, i5‑3570K, R9 Fury X, GTX 1070 Ti, RX 580, Vega 56) and feel performance is “good enough” for 1080p/1440p or specific games.
  • Some lament retiring once‑beloved cards (e.g., 1060 6 GB, Voodoo 2, TNT2) and recall specific games that defined an era (Thief, Unreal Tournament, Half‑Life 2, TF2).

GPU Progress, Value, and VRAM

  • Several argue GPU progress has slowed: roughly 2–3× over ~10 years at higher prices, vs orders‑of‑magnitude jumps in earlier decades.
  • Price and VRAM are recurring concerns. Some refuse to “upgrade” to modern cards with the same or only slightly more VRAM than decade‑old GPUs.
  • Others defend newer generations (e.g., 4000 series) for big ray‑tracing and path‑tracing gains, citing features like shader execution reordering.

Which GPUs “Mattered”

  • Many feel the list over‑represents incremental Nvidia gaming cards and under‑represents:
    • Early 3D accelerators and oddballs (Rendition Vérité, S3 ViRGE/Savage3D, Matrox G200/G400/Parhelia, ATI Rage, Diamond Monster Fusion, Voodoo 5, NV1).
    • Workstation/SGI hardware (IMPACT, RealityEngine, O2).
  • Some argue cards like the 8800 GT, RX 580, and 5700 XT deserve special credit for impact and longevity; others dispute the importance of many recent entries.

Datacenter, AI, and Terminology

  • Multiple comments note the absence of datacenter/AI GPUs (e.g., those used for AlexNet, GPT‑1/2) despite their huge real‑world impact.
  • Counterpoint: the visualization is implicitly about consumer/gaming cards, and gaming GPUs historically funded the R&D that led to AI accelerators.
  • There is debate over when “GPU” as a term began (Sony vs Nvidia marketing vs earlier 1960s hardware).

Ray Tracing, “Defining Games,” and Usefulness

  • Some criticize pairing certain GPUs with “defining games” that neither pushed hardware nor used the card’s key features (e.g., Diablo II, PUBG, Control on non‑RT AMD).
  • Opinions diverge on ray tracing: some see it as a major, transformative step; others view it as marginal eye‑candy compared to well‑done raster techniques.

Site Design, Curation, and Suspected Marketing

  • Several find the visualization attractive; others call the UI confusing (hidden horizontal scroll, era buttons behavior), though the author claims to have fixed issues after feedback.
  • Multiple commenters suspect the piece doubles as a marketing/demo page for a data‑viz/consulting company, possibly with Nvidia‑leaning branding; others think it’s just fan work.
  • Some believe parts of the content feel AI‑generated or “sloppy,” with factual nits and omissions supporting that view.