Models · Google · live prices

Gemma 2 27B: GPUs needed and cost to self-host

27.2B parameters. In FP8 that is about 33 GB with room for the KV cache.

Memory, FP8

33 GB

weights + ~20%

Cheapest per 1M output tokens

$0.09

1× A100 · on-demand · 60% utilization

Hosted API, sample list price

$0.80

per 1M output tokens

Cost per 1M output tokens, FP8

Prices observed 11m ago. Cheapest on-demand offer per GPU, whole instances, 60% average utilization.

  1. A10080 GB 1× on Vast.ai · on-demand · $0.34/hr · ~1,799 tok/s $0.09per 1M out
  2. H200141 GB 1× on Vast.ai · on-demand · $1.32/hr · ~4,235 tok/s $0.14per 1M out
  3. 509032 GB 2× on Vast.ai · on-demand · $0.92/hr · ~1,897 tok/s $0.22per 1M out
  4. 409024 GB 2× on Vast.ai · on-demand · $0.62/hr · ~1,067 tok/s $0.27per 1M out
  5. RTX PRO 600096 GB 1× on Vast.ai · on-demand · $1.00/hr · ~1,581 tok/s $0.29per 1M out
  6. H10080 GB 1× on RunPod · community · $1.99/hr · ~2,956 tok/s $0.31per 1M out
  7. B300288 GB 1× on RunPod · community · $6.94/hr · ~7,059 tok/s $0.46per 1M out

The tick marks the sample hosted-API price. Estimates: tokens/s from memory bandwidth with batched serving, not a benchmark. Idle hours still bill, so lower utilization means pricier tokens.

GPUs per replica by precision

One node, split 1, 2, 4 or 8 ways; 90% of VRAM usable.

GPUBF1665 GBFP833 GBINT416 GB
H10080 GB 1×1×1×
H200141 GB 1×1×1×
B300288 GB 1×1×1×
A10080 GB 1×1×1×
RTX PRO 600096 GB 1×1×1×
509032 GB 4×2×1×
409024 GB 4×2×1×

Run the numbers for your workload

Plan capacity for your traffic Token cost with spot and your utilization API vs your own GPUs at your volume