Observed arrival · 2026-11-04
LLMVRAMCalc’s GPU sizing workbench
An interactive calculator estimates memory, throughput, and local or cloud GPU costs for open-weight language models.
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ƒJS
- For
- People sizing hardware for open-weight LLM inference and fine-tuning
- Worth noticing
- The workbench lists 76 models and 49 GPUs, with QLoRA, LoRA, and full-BF16 modes alongside inference sizing.
Field notes
The interface offers context presets from 4K through 256K and separates inference sizing from QLoRA, LoRA, and full-BF16 modes. Its model menu spans multiple named model families, while GPU auto-fit and a stream-simulation control provide additional ways to explore a configuration. The page labels its calculations as calibrated against Hugging Face config.json files and measured GGUF shards.
Observed signals
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Editorial observations of this landing page, not a rating.
○OpenPublic substance visible
$PaidCommerce or pricing visible
✦PrettyNotable craft visible
●ProPolished or operationally mature
◎NicheUnusually specific use
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