Depends on quant size etc... Qwen3.6 35B-A3B Q4_K_XL a multiple 5060ti + tensor split mode + MPT will hit ~100/TPS without problem, and I have personally hit ~190/tps on a single 5090 on a friends machine getting them setup up. If you use Q6_K etc... it slows down, what quant were you using?

Quantization + KV cache paging + speculative decoding (MPT or draft) is a fairly good mixture here.

Some examples as I don't have access to run tests on a 5060ti right now:

     https://njannasch.dev/blog/gemma-4-mtp-vs-qwen-speculative-decoding-5060ti/#vs-qwen-36-mtp

     https://www.reddit.com/r/LocalLLM/comments/1umw7vj/dual_5060_ti_16_gb_llm_inference_performance/

And here are some logs on unsloth/Qwen3.6-35B-A3B-GGUF:UD-Q4_K_XL with the 2x 1080ti + 1x titan from above:

     27.21.533.298 I slot print_timing: id  0 | task 7843 | n_decoded =   1780, tg =  62.15 t/s
     27.24.537.173 I slot print_timing: id  0 | task 7843 | n_decoded =   1965, tg =  62.10 t/s
     27.27.541.142 I slot print_timing: id  0 | task 7843 | n_decoded =   2152, tg =  62.11 t/s

Q4_K_XL is a slight, acceptable degradation IMHO for performance like that.