Posts tagged with "GPU memory"

3 posts found

Mar 31, 2026 GPU memory memory wall VRAM requirements context length limits tensor parallelism

The Quadratic Memory Wall: A Precise Analysis of GPU Memory Requirements per Context Length

Total GPU memory = model weights + KV cache + activations + workspace. Here's the exact formula to compute maximum context length for any GPU configuration.

Mar 31, 2026 KV cache GPU memory VRAM LLM inference model optimization

The KV Cache: Why Your AI Needs So Much GPU Memory

During inference, the model stores Key and Value vectors for every token. This KV cache is often the biggest memory consumer. Here's the math behind it.

$Featured image for article: KV Cache Memory Math: Calculating Exactly How Much VRAM You Need$

Mar 31, 2026 KV cache VRAM calculation GPU memory GQA model deployment inference optimization

KV Cache Memory Math: Calculating Exactly How Much VRAM You Need

The exact formula for KV cache memory and worked examples for every major model architecture. Calculate your GPU requirements precisely.