Is the Intel Arc Pro B70 slow for local LLMs? Plain decode, yeah. Turn speculative decoding on and it's a different card. People keep asking me this since I ordered four of them for my own agents. Fair question, the raw numbers are rough. One B70 running Qwen3.8 27B Q4_K_S in llama.cpp does 26.5 tok/s generating one token at a time. Two B70s on vLLM with no MTP did 26 tok/s on a 27B INT4. That's the number people screenshot and dunk on. One token at a time is memory bandwidth bound, and the card's matrix engines mostly sit idle. Checking 4 to 8 drafted tokens in one step costs barely more than checking one, if the kernels are written for it. Two receipts from this week. budiony's llama.cpp PR moved the B70's multi-token path onto the XMX engines. Same card, same 27B, MTP drafting on: Q4_K_S 38.7 to 51.0 tok/s Q2_K 30.2 to 63.9 tok/s A batch of 8 tokens on Q6_K went from 79 to 159. That PR is closed without a merge right now, so don't look for it in a release yet. @Daniel00Higgins shared a community run (credit JP-devv) of his Swift 27B on 2x B70, vLLM 0.30 XPU, TP2, MTP with 6 draft tokens: 120.5 tok/s single stream 328 tok/s across 4 streams 262K context, 1.28M token KV pool about 500W for the pair Same two cards, 26 tok/s without MTP and 120 with it. Caveat, that run was a code prompt at temperature 0, which is the best case for drafting. Prose at a higher temp accepts fewer drafts and lands lower. The B70 is a 32GB card with a lot of compute the software is only now learning to use. If you're judging it off a single-token llama-bench number you're judging the wrong thing. Price is moving too. @zbian73 watched an ASRock B70 go from $1,400 to $1,945 on Newegg in a few days. I haven't put numbers on my own four yet. When I do they go up here, MTP on and off.