@meta
  v: 1
  route: /gpu/rtx-5090
  generated: 2026-06-10T09:30:58.672Z

@intent
  purpose:    Show what AI models fit on the RTX 5090.
  audience:   ai-engineer, self-hoster, homelab-buyer
  capability: inspect_specs, find_fitting_models, compare_to_other_gpus

@state
  slug: rtx-5090
  name: RTX 5090
  vram_gb: 32
  bandwidth_gbs: 1792
  fp16_tflops: 838
  budget_8k_gb: 25
  category: rtx-50
  summary: "32GB GDDR7. The new consumer ceiling: 70B at Q4 with comfortable context, 30B at FP16."
  top_fitting_models[5]: mixtral-8x7b, qwen-3-6-35b-a3b, yi-34b, qwen-2-5-32b, qwen-2-5-coder-32b

@actions
  - id: compare
    method: GET
    href: /gpu/arc-pro-b60
  - id: compare
    method: GET
    href: /gpu/rtx-3090
  - id: compare
    method: GET
    href: /gpu/rtx-3090-ti
  - id: compare
    method: GET
    href: /gpu/rtx-4090
  - id: view_calculator
    method: GET
    href: /#calculator
  - id: view_math
    method: GET
    href: /the-math

@context
  > 32GB GDDR7. The new consumer ceiling: 70B at Q4 with comfortable context, 30B at FP16.

@nav
  self:      /gpu/rtx-5090
  parents:   [/]
  peers:     [/gpu/arc-pro-b60, /gpu/rtx-3090, /gpu/rtx-3090-ti, /gpu/rtx-4090]
  drilldown: /the-math