Deploying Local LLMs: How to Choose with 384GB VRAM
Sentdex · x · 2026-07-03
Sentdex released a comprehensive guide on deploying local LLMs. The primary consideration is the maximum model size that fits—his maximum VRAM is 384GB, with additional space needed for context. The report outlines various model selection strategies based on different precision levels and inference speeds.
More from Infra
- WSJ: Nvidia is in talks to backstop about $250 billion of OpenAI's data center plan — KateClarkTweets · 2026-07-27
- YC talk on BCI x AI says infrastructure is what really determines speed — garrytan · 2026-07-27
- A 13B model ran on a no-GPU PC by paging weights from SSD via llama.cpp — ID_R_McGregor · 2026-07-27
- llama.cpp warns that GGUFs made before a recent change must be regenerated — EconomySerious · 2026-07-27
- RTX 5090 local tests show Qwen Q6 can drop to 15 tok/s at 80k context — LFAdvice7984 · 2026-07-27
- Surprising Ubuntu Setup: NVIDIA 5090 PC Becomes the Easiest AI Rig — _xjdr · 2026-07-27