← All GPUs

Intel · Workstation · Xe2 (Battlemage BMG-G21)

Intel Arc Pro B60

Cooler varies by partner board. Native x8 link, so x8/x8 splits cost it nothing. Intel's LLM Scaler containers target multi-GPU vLLM on Linux.

VRAM

24 GB

GDDR6 ECC

Memory bandwidth

456 GB/s

FP16 compute

not published

Price

~$599

new, maker or suggested price

What fits at 4-bit

The 4-bit file plus 8,192 tokens of context and 1.5 GB of overhead, against the VRAM of 1 and 2 cards. Speeds are measured medians where someone has published a run at that card count; a blank speed means no run, not a slow one. Machine pages carry estimates for the gaps.

ModelNeeds1 card (24 GB)2 cards (48 GB)
Qwen3.5 4B4B · Q4_K_M4.3 GB37 tok/smedian of 2 runsfits
Llama 3.1 8B Instruct8B · Q4_K_M7.1 GBfitsfits
Qwen3 8B8.2B · Q4_K_M7.3 GBfitsfits
Gemma 4 E4B IT8B · Q4_K_M6.5 GBfitsfits
Granite 4.2 8B8.8B · Q4_K_M7.9 GBfitsfits
Qwen3.5 9B9B · Q4_K_M7.0 GB23 tok/smedian of 3 runsfits
Gemma 4 12B IT11.95B · Q4_K_M8.2 GBfitsfits
Ministral 3 14B Reasoning (2512)13.9B · Q4_K_M10.4 GBfitsfits
Phi-414.7B · Q4_K_M11.3 GBfitsfits
gpt-oss-20b21B, 3.6B active · MXFP4 (native)12.5 GBfitsfits
Devstral Small 2 24B (2512)24B · Q4_K_M16.1 GBfitsfits
Qwen3.6 27B27B · Q4_K_M17.7 GBfitsfits
Gemma 4 26B-A4B IT25.2B, 3.8B active · Q4_K_M17.4 GBfitsfits
Qwen3.8 27B27B · Q4_K_M18.2 GBfitsfits
Granite 4.2 30B29.3B · Q4_K_M20.3 GBfitsfits
Gemma 4 31B IT30.7B · Q4_K_M18.9 GBfitsfits
Qwen3 Coder 30B-A3B Instruct30.5B, 3.3B active · Q4_K_M19.5 GBfitsfits
Ornith 1.5 35B-A3B35B, 3B active · Q4_K_M21.9 GBfitsfits
Qwen3.6 35B-A3B35B, 3B active · Q4_K_M22.4 GBfitsfits
Nemotron 3.5 Lightning 30B-A3B30B, 3B active · Q4_K_M25.3 GBtoo largefits
Llama 3.3 70B Instruct70B · Q4_K_M43.6 GBtoo largefits
Qwen3 Coder Next80B, 3B active · Q4_K_M46.9 GBtoo largefits

Machines built on it

Measured speeds

One card

Single-user runs on 1 card
ModelQuantBackendGenerationPromptContextSource
Qwen3.5 4BQ4_0llama.cpp b8175 (Vulkan)43 tok/s812 tok/s2,048-token prompt0owner report2026-03
Qwen3.5 4BQ4_K_Mllama.cpp b8175 (Vulkan)31 tok/s821 tok/s2,048-token prompt0owner report2026-03
Qwen3.5 9BQ4_K_XL (UD)llama.cpp b8688 (SYCL)33 tok/s1,634 tok/s2,048-token prompt0owner report2026-04
Qwen3.5 9BQ4_K_XL (UD)llama.cpp b8175 (SYCL)23 tok/s329 tok/s2,048-token prompt0owner report2026-03
Qwen3.5 9BQ4_K_XL (UD)llama.cpp b8175 (Vulkan)18 tok/s560 tok/s2,048-token prompt0owner report2026-03
Qwen3.5 9BQ4_K_XL (UD)llama.cpp b8175 (SYCL)–317 tok/s16,384-token prompt0owner report2026-03
Qwen3.5 9BQ4_K_XL (UD)llama.cpp b8175 (Vulkan)–518 tok/s16,384-token prompt0owner report2026-03
Qwen3.5 9BQ4_K_XL (UD)llama.cpp b8688 (SYCL)–1,464 tok/s16,384-token prompt0owner report2026-04

Speculative decoding, several users, or long context

Kept apart because each measures a different workload from one person chatting near the start of a conversation.

Other runs on this card
ModelQuantBackendGenerationPromptContextMeasured onSource
gpt-oss-20bMXFP4vLLM (intel/vllm docker, >=0.10.2 XPU)75 requests at once1,211 tok/s–0Arc Pro B60vLLM project blog2025-11
gpt-oss-20bMXFP4vLLM (intel/vllm docker, >=0.10.2 XPU)38 requests at once819 tok/s–0Arc Pro B60vLLM project blog2025-11
gpt-oss-20bMXFP4vLLM (intel/vllm docker, >=0.10.2 XPU)15 requests at once417 tok/s–0Arc Pro B60vLLM project blog2025-11

Specifications

Memory
24 GB GDDR6 ECC
FP16 basis
Intel publishes 197 INT8 TOPS (XMX, dense); no FP16 figure.
Board power
200 W
PCIe
Gen 5 x8
NVLink
No
Software
oneAPI/SYCL, Vulkan
Released
2025
Availability
sold new
Price basis
Reported MSRP / US listing of $599 (Intel does not publish a price on its spec page).
Maker page
intel.com

Sources

  • intel.com: 24 GB GDDR6 192-bit, 456 GB/s, TBP 200 W (120-200 W), PCIe 5.0 x8, 197 INT8 TOPS, Q2'25
  • intel.com: Intel Arc Pro B-series quick reference (Mar 2026): B70/B65/B60/B50 memory, bandwidth, INT8 TOPS, board power
  • guru3d.com: $599 listing
  • vllm.ai: vLLM multi-GPU support on Arc Pro B-series
  • raw.githubusercontent.com: llama.cpp build docs: SYCL backend supports Intel Arc; HIP backend for ROCm GPUs; Vulkan backend