MyPrivateClaw
NVIDIA GeForce RTX 4090 24GB — The benchmark king for consumer local inference — 24GB VRAM at ~1,008 GB/s
The RTX 4090 remains the most widely deployed consumer GPU for local LLM inference. Its 24GB GDDR6X on a 384 bit bus delivers 1,008 GB/s — enough to run 7…
Category
hardware
Why it matters
The RTX 4090 remains the most widely deployed consumer GPU for local LLM inference. Its 24GB GDDR6X on a 384 bit bus delivers 1,008 GB/s — enough to run 7B models at 100+ tokens/second and 34B quantized models comfortably. It handles Llama 3 70B at Q4 K M with partial CPU offload. Pricing has softened since the RTX 5000 series launch, making it better value than at release.
Best for
Users who need maximum VRAM for 34B+ models and want the best supported consumer GPU for llama.cpp