@meta
  v: 1
  route: /gpu/rtx-4070-s
  generated: 2026-06-10T07:24:23.368Z

@intent
  purpose:    Show what AI models fit on the RTX 4070 Super.
  audience:   ai-engineer, self-hoster, homelab-buyer
  capability: inspect_specs, find_fitting_models, compare_to_other_gpus

@state
  slug: rtx-4070-s
  name: RTX 4070 Super
  vram_gb: 12
  bandwidth_gbs: 504
  fp16_tflops: 280
  budget_8k_gb: 8.3
  category: rtx-40
  summary: "Same VRAM as 4070, more compute. Throughput, not capacity."
  top_fitting_models[5]: starcoder2-15b, phi-4, qwen-3-5-9b, gemma-2-9b, llama-3-1-8b

@actions
  - id: compare
    method: GET
    href: /gpu/arc-b580
  - id: compare
    method: GET
    href: /gpu/rtx-3060
  - id: compare
    method: GET
    href: /gpu/rtx-3080-ti
  - id: compare
    method: GET
    href: /gpu/rtx-4070
  - id: view_calculator
    method: GET
    href: /#calculator
  - id: view_math
    method: GET
    href: /the-math

@context
  > Same VRAM as 4070, more compute. Throughput, not capacity.

@nav
  self:      /gpu/rtx-4070-s
  parents:   [/]
  peers:     [/gpu/arc-b580, /gpu/rtx-3060, /gpu/rtx-3080-ti, /gpu/rtx-4070]
  drilldown: /the-math