inference/research
verifiedmedium · 0.80updated 2026-10-14

Intel Arc Pro B70 32GB, vLLM: Qwen3.5-27B single-request decode tok/s + 4-card aggregate (wendell measured)

13.4 tok/s single-request floor (dynamic FP8); 4x B70 TP=4 50-req ~370 t/s avg / 550 peak

Fields

id
benchmarks/comm-arc-pro-b70-vllm-qwen35-27b-decode
Metric
decode_tok_s
Value
13.4
Unit
tok/s single-request floor (dynamic FP8); 4x B70 TP=4 50-req ~370 t/s avg / 550 peak
Model
Qwen3.5-27B (dynamic FP8)
Methodology
THIRD-PARTY MEASURED (wendell / Level1Techs, vLLM, Qwen3.5-27B). Single-request floor ~13.4 t/s (dynamic FP8 quant - the native FP8 model crashed, the dynamic-quant BF16 path was needed); had to cap mem-util at 0.8 for stability. Multi-card: 4x B70 TP=4 at 50 concurrent requests = 370 t/s avg output / 550 t/s peak, TTFT ~11.5s; 8-req 2-card 97.8 t/s agg. Reference: 4x 3090 same test ~348 t/s.
Measured by
third_party
Reproducible
yes
notes
Cheapest NEW way to 32GB (~$949-1,000 Newegg, released Apr-2026) and the cheapest path to 128GB (4x ~ $3,800). BUT per-card decode is SLOWER than a used 3090 and the software is not plug-and-play - vLLM (Intel upstream) works but rough, llama.cpp via SYCL/Vulkan but mainline lags Intel's forks. Reasonable for batched/server-style workloads on a budget; NOT a 3090 replacement for single-user speed. 32GB GDDR6, 256-bit, ~576-608 GB/s, 230W blower.

Notes

Cheapest NEW way to 32GB (~$949-1,000 Newegg, released Apr-2026) and the cheapest path to 128GB (4x ~ $3,800). BUT per-card decode is SLOWER than a used 3090 and the software is not plug-and-play - vLLM (Intel upstream) works but rough, llama.cpp via SYCL/Vulkan but mainline lags Intel's forks. Reasonable for batched/server-style workloads on a budget; NOT a 3090 replacement for single-user speed. 32GB GDDR6, 256-bit, ~576-608 GB/s, 230W blower.

Cross-references