What is VRAM (Video RAM)?
Memory on a GPU used to store model weights, activations, and KV cache during LLM inference. VRAM is the primary constraint when running large language models locally.
Related Calculators
AI VRAM
Calculate the GPU VRAM required to run any LLM locally or on cloud GPU. Supports all quantization levels — FP32, FP16, INT8, INT4, and GGUF variants.
GPU Cloud Cost
Compare GPU cloud rental costs across RunPod, Lambda Labs, and Vast.ai. Calculate monthly spend for LLM inference, fine-tuning, and ML training workloads.
Llama 3 70B VRAM
Calculate the exact GPU VRAM needed to run Meta Llama 3 70B. At FP16 it needs 140 GB — but INT4 quantization brings it down to ~35 GB, fitting on a single A100 40 GB.
Related Comparisons
RunPod vs Lambda Labs
RunPod vs Lambda Labs for GPU cloud — compare A100/H100 on-demand pricing, availability, spot instances, and which is better for LLM inference and fine-tuning.
RunPod vs Vast.ai
RunPod vs Vast.ai — GPU rental marketplace comparison. Vast.ai offers lower spot prices but variable reliability; RunPod offers higher consistency. Which is right for your LLM workload?