IN Intel Prosumer Discrete GPU

Intel Arc Pro B60

Runs downloadable LLMs up to ~32.5B at Q4, ~59-73.3 tok/s on an 8B model.

Intel Arc Pro B60
24GB
VRAM
456
GB/s bandwidth
32.5B
Max model (Q4)

What you can run

At 8k context, FP16 KV. Full-speed tok/s holds up to "max ctx"; beyond it the context spills to system RAM (CPU/PCIe offload) and drops to the degraded figure.

Model sizeFP16Q8Q4
3B 44.1-54.7 t/s
≤222k ctx · then ~3.9-4.8 (slow)
88.2-109.4 t/s
≤268k ctx · then ~7.7-9.6 (slow)
157.4-195.4 t/s
≤288k ctx · then ~13.8-17.1 (slow)
7-8B 16.5-20.5 t/s
≤35k ctx · then ~1.5-1.8 (slow)
33.1-41 t/s
≤96k ctx · then ~2.9-3.6 (slow)
59-73.3 t/s
≤123k ctx · then ~5.2-6.4 (slow)
13B won't run 20.3-25.3 t/s
≤46k ctx · then ~1.8-2.2 (slow)
36.3-45.1 t/s
≤81k ctx · then ~3.2-4 (slow)
32B won't run won't run 14.8-18.3 t/s
≤10k ctx · then ~1.3-1.6 (slow)
70B won't run won't run won't run
120B won't run won't run won't run
400B won't run won't run won't run

Estimate: tok/s ≈ bandwidth ÷ (params × bytes/param) × efficiency (Intel). Cyan = fits ~22.1 GB usable. Beyond "ctx", KV spills to system RAM (CPU/PCIe offload) (rough degraded speed shown).

What else you need for a full build

Minimum supporting components for a desktop built around the Intel Arc Pro B60. Guidance — exact needs depend on your case, other parts and how much you offload to system RAM.

System RAM
≥ 32 GB · 64 GB recommended
At least the 24 GB of VRAM; 2× lets you CPU-offload models larger than VRAM.
Motherboard
1× free PCIe x16 slot (4.0/5.0)
A full-length x16 electrical slot; PCIe 4.0 is ample, 5.0 future-proofs.
CPU
Any modern multi-core
The GPU runs inference; more cores and memory channels only matter when offloading to RAM.
Storage
≥ 1 TB NVMe SSD
Weights are large — a 70B model at Q4 is ~40 GB; budget for a few.

Run popular models on the Intel Arc Pro B60

Videos about the Intel Arc Pro B60

Should You Buy Intel ARC PRO B60 for Local AI? Llama?

8 Arc Pro B60 GPUs in one box. Battle Matrix lab build!

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About the Intel Arc Pro B60

Intel Arc Pro B60 is a discrete GPU from Intel, 2025. For local genAI the numbers that matter are its 24 GB (how big a model + context fits) and 456 GB/s bandwidth (generation speed).

Frequently asked questions

What size LLM can the Intel Arc Pro B60 run?

With ~22.1 GB usable it runs up to ~32.5B at Q4 (~9.5B at FP16) at 8k context. Bigger spills into system RAM (CPU/PCIe offload) and slows sharply.

How many tokens/sec does the Intel Arc Pro B60 generate?

Generation is bandwidth-bound. At 456 GB/s an 8B model at Q4 runs ~59-73.3 tok/s (estimate).

Why does long context slow it down?

The KV cache for the context must also fit fast memory; once weights+KV exceed 22.1 GB it spills to system RAM (CPU/PCIe offload) and throughput collapses. Each row shows the max usable context.

What else do I need to run the Intel Arc Pro B60?

Besides the card: at least 24GB of system RAM (2× the 24GB VRAM is ideal for CPU offload), a free PCIe x16 slot, any modern multi-core CPU, and a ≥1TB NVMe SSD for model weights.