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REDDIT · REDDIT// 20d agoINFRASTRUCTURE
GeForce RTX 5060 Ti faces 3090 wall
A Reddit user asks whether a 16GB GeForce RTX 5060 Ti could eventually run local LLMs as fast as a 24GB GeForce RTX 3090 if future runtimes and model formats get smarter. Blackwell does add FP4 support, but the 3090 still has a major edge in VRAM and memory bandwidth.
// ANALYSIS
Short version: the software stack will keep improving, but it won't make the memory bus disappear. FP4-aware kernels can narrow the gap, yet the 3090's wider memory system and extra VRAM still matter most for single-user local inference.
- –Blackwell really does add FP4 and FP6 tensor support, so the user's instinct about future optimization is directionally right.
- –GGUF or q4 alone does not guarantee FP4 execution; the runtime has to have a matching kernel path, and attention is only one piece of inference.
- –The GeForce RTX 3090's 24GB GDDR6X and 936 GB/sec bandwidth still buy more headroom for larger models, longer context, and fewer offloads.
- –Smaller quants and slimmer models make 16GB more viable, but context growth and MoE tradeoffs keep VRAM demand alive.
- –The GeForce RTX 5060 Ti wins on power, thermals, and buying-new peace of mind, which makes it a better efficiency buy even if it is not a 3090 replacement.
// TAGS
nvidia-geforce-rtx-5060-ti-16gbgpullminferenceself-hostedgeforce-rtx-3090
DISCOVERED
20d ago
2026-03-22
PUBLISHED
20d ago
2026-03-22
RELEVANCE
8/ 10
AUTHOR
Shifty_13