⚡ Industrial AI Hardware Spec Tool
Ollama Local LLM VRAM & Speed Calculator
Estimate exact GPU memory requirements, KV cache allocation, quantization overhead, and expected tokens/second throughput across NVIDIA, AMD, and Apple Silicon hardware.
⚙️ Model & Quantization Spec
16k
GPU & Memory Subsystem
Total VRAM Required
41.8 GB
Weights + KV Cache
Expected Inference Speed
24 t/s
Single Batch Generation
GPU Fit Assessment
DUAL GPU
Requires 2x 24GB VRAM
📊 VRAM Allocation Breakdown Calculated Specs
Memory Component VRAM Overhead
Model Weights (Quantized) 39.4 GB
KV Cache (Context Storage) 1.4 GB
CUDA Context & Buffer Overhead 1.0 GB
Total Target VRAM Needed 41.8 GB
Ollama Run Command
ollama run llama3:70b-instruct-q4_K_M