Latest / Big Iron Radio / Homelab Brief - Local Agents vs Cloud APIs: The Break-Even Math

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Homelab Brief - Local Agents vs Cloud APIs: The Break-Even Math · Big Iron Radio

• 0:02
  Welcome to the Homelab Brief from Big Iron.
• 0:06
  Today, the honest breakeven math on running an AI, agent locally versus calling a cloud API for a 24-7 job.
• 0:16
  Quick note, this is an AI voice drawn from a Big Iron guide.
• 0:20
  Links below.
• 0:22
  Start with the cost of owning a GPU because it has two parts.
• 0:26
  A fixed cost amortizing the card, roughly $8 to $25 a month, depending on what you bought.
• 0:32
  And a variable cost idle power draw, about $2 to $5 a month for a small card left loaded.
• 0:39
  Both of those run, whether or not the card is actually serving a single request.
• 0:45
  The cloud side is the opposite shape.
• 0:47
  A comparable small model runs about $0.14 to $0.30 per thousand typical requests, and it costs exactly nothing when idle.
• 0:56
  Linear with usage, zero floor.
• 0:59
  So put those together.
• 1:00
  At low to moderate Homelab volume tens to low thousands of requests a day on a card you bought just for this.
• 1:08
  The cloud API usually wins on pure economics.
• 1:12
  That idle draw and amortization are hard to beat when the card mostly sits there.
• 1:18
  Local wins decisively in two cases.
• 1:20
  One, the GPU is already running other Homelab workloads in Mitch, Frigate, Whisper, and the LLM job is just marginal utilization on hardware that's already spinning.
• 1:33
  Two, your volume is genuinely high and sustained, enough that the per-request cloud cost overtakes the fixed cost.
• 1:40
  And the honest footnote.
• 1:43
  Most Homelabbers who run local aren't doing it to save money they're doing it for privacy, control, and no rate limits.
• 1:51
  That's a fine reason.
• 1:53
  Just don't tell yourself it's cheaper when, for a dedicated card at low volume, it usually isn't.
• 1:59
  The full cost models in the show notes.
• 2:01
  That's your brief.