Local Ai
What options exist for running the largest local models at full precision?
Running a 70B parameter model in full 16-bit precision requires roughly 140GB of memory , which is beyond most consumer hardware. Professional-tier GPUs like the RTX PRO 6000 with 96GB GDDR7 enable fu
Running a 70B parameter model in full 16-bit precision requires roughly 140GB of memory , which is beyond most consumer hardware. Professional-tier GPUs like the RTX PRO 6000 with 96GB GDDR7 enable full-precision runs of large models , while Apple Silicon remains the best platform for local AI due to its unified memory architecture where the GPU and CPU share the same memory pool, eliminating the memory bottleneck . For consumer setups, GGUF Q4_K_M and Q5_K_M quantization methods now preserve 95-98% of full-precision model quality, allowing a 70B model to run comfortably in 40GB with minimal quality loss .
Source: r/StableDiffusion | 2026-06-06