ai
llm
model
gpu
vram
memory
fit
fits
quantized
quantization
inference
graphics
card

Can this AI model run on my graphics card? Estimate model memory requirements and check whether a quantized LLM fits available GPU VRAM before loading or local inference.

GPU VRAM and model memory-fit calculator for AI agents. Estimate whether quantized LLM or transformer model weights plus runtime overhead fit in available GPU memory before downloading, loading, deploying, or selecting a model. Useful for model selection, local inference planning, VRAM capacity checks, quantization decisions, and GPU deployment preflight.

post/v1/model-memory-fit

Request

  • Base URL: https://api.salt19.com
  • URL: https://api.salt19.com/v1/model-memory-fit
  • Auth: none required

Headers

Idempotency-Keystring

Recommended for the strongest semantic at-most-once retry contract. Standard x402 clients may omit it; SALT19 derives a compatibility operation identity from the payment proof and canonical purchase on paid retry.

Request body

parameter_count_bnumber required
quantization_bitsnumber required
vram_gbnumber required
runtime_overhead_rationumber

Response

Successful paid result

Changes

No recorded changes to this operation across all 1 revision of this API.