How much VRAM does the Intel Arc Pro B50 16GB have?

The Intel Arc Pro B50 16GB has 16 GB of GDDR6 with 224 GB/s memory bandwidth.

What is the Intel Arc Pro B50 16GB best for?

With 16 GB of VRAM, the Intel Arc Pro B50 16GB handles smaller models (7B–14B) at Q4–Q5 quantization, ideal for entry-level local LLM experimentation and lightweight inference.

What LLMs can the Intel Arc Pro B50 16GB run locally?

The Intel Arc Pro B50 16GB can run 45 of the 94 open-weight models tracked by CanItRun natively in VRAM at 8k context. Top options include: Qwen 3.8 27B at Q3_K_M, Muse Glimmer 30B at Q3_K_M, Ornith 1.5 9B at Q8_0.

Can the Intel Arc Pro B50 16GB run Gemma 4 31B?

Yes. The Intel Arc Pro B50 16GB runs Gemma 4 31B natively in VRAM at Q2_K quantization, achieving approximately 11 tokens per second.

Can the Intel Arc Pro B50 16GB run Qwen 3.6 27B?

Yes. The Intel Arc Pro B50 16GB runs Qwen 3.6 27B natively in VRAM at Q3_K_M quantization, achieving approximately 10.8 tokens per second.

Can the Intel Arc Pro B50 16GB run Qwen3 8B?

Yes. The Intel Arc Pro B50 16GB runs Qwen3 8B natively in VRAM at Q8_0 quantization, achieving approximately 15 tokens per second.

Intel Arc Pro B50 16GB

The Intel Arc Pro B50 16GB has 16 GB VRAM and 224 GB/s memory bandwidth. It can run 45 of our 94 tracked models natively in VRAM at 8k context.

With 16 GB GDDR6, the Intel Arc Pro B50 16GB is a workstation-tier GPU that can run 45 models natively. It handles smaller models (7B–14B) at Q4–Q5 quantization.

The Intel Arc Pro B50 launched September 3, 2025 as the entry card in Intel's Battlemage Pro lineup: a compact, dual-slot workstation GPU with 16GB of ECC GDDR6 on a 128-bit bus (224 GB/s), 16 Xe cores, and a 70W board power target low enough to draw power entirely from the PCIe slot, no external connector needed, for small-form-factor builds. Intel had targeted $299 at its Computex 2025 announcement, but memory pricing and tariff costs pushed the actual launch price to $349. That 16GB framebuffer fits models up to about 4B parameters at full BF16 precision and 8-9B dense models at near-lossless Q8, with the Vulkan backend giving usable LLM inference speeds on both Linux and Windows.

Intel Arc Pro B50 16GB: the entry card in Intel's Battlemage Pro workstation lineup, sitting below the 24GB Arc Pro B60 and 32GB Arc Pro B70. Announced at Computex 2025 with a $299 target, it shipped September 3, 2025 at $349 after memory pricing and tariff costs pushed the price up. It pairs 16GB of ECC GDDR6 on a 128-bit bus (224 GB/s) with 16 Xe cores and 128 XMX engines. A 70W board power target lets it draw entirely from the PCIe slot, no external power connector needed, in a compact dual-slot card built for small-form-factor workstations.

45 of this site's 94 tracked models fit natively in VRAM at 8k context. Among current-generation small models, Gemma 4 E4B is the largest to run at full BF16 precision (10.09 GB, 16.2 tok/s), and Qwen3 8B is the largest to reach near-lossless Q8 (10.88 GB, 15 tok/s). At the top end, Qwen 3.8 27B, Qwen 3.6 27B, and UI-Mate 27B all land at Q3_K_M (15.15 GB, 10.8 tok/s), right up against this card's 15.2 GB usable ceiling.

Shares its software stack with the rest of the Battlemage Pro lineup: llama.cpp's Vulkan backend works out of the box on Linux and Windows, with a SYCL backend available via the oneAPI toolkit. ISV-certified for professional workloads. Its 224 GB/s of bandwidth trails not just the B60 and B70 but Intel's own older consumer Arc A770 16GB (560 GB/s) and NVIDIA's RTX 4060 Ti 16GB (288 GB/s), so per-token throughput on identical models lags every one of those cards even where all of them fit a model in VRAM.

Vendor	Intel
Architecture	Xe2-HPG (Battlemage)
VRAM	16 GB
Memory type	GDDR6
Memory bandwidth	224 GB/s
Compute backend	VULKAN
Tier	Workstation
Released	2025
Models (native)	45 / 94
Models (offload)	12 / 94

Software: Vulkan backend works in llama.cpp; SYCL backend available with oneAPI toolkit. Primarily a workstation/professional card.

The same 16GB as two older, cheaper cards, at the bottom of the bandwidth ladder

Plotting this card against the rest of Intel's Battlemage Pro family and its closest 16GB capacity peers, one from Intel's own consumer lineup and one from NVIDIA, shows how little of this card's workstation positioning buys in raw memory throughput:

VRAM and memory bandwidth, from each card's real spec sheet. A card further right holds bigger models; a card further up decodes them faster once they fit.

This card (this page) shares its exact 16GB capacity with Intel's own three-year-older consumer Arc A770 and NVIDIA's RTX 4060 Ti 16GB, but trails both on bandwidth: 224 GB/s here versus 288 GB/s on the RTX 4060 Ti (28.6% more) and 560 GB/s on the Arc A770 (2.5x more). Moving up within its own family costs real bandwidth too: the 24GB Arc Pro B60 reaches 380 GB/s (69.6% more) and the 32GB Arc Pro B70 reaches 608 GB/s (2.7x more), both well ahead of this card. The 16GB tier is a bandwidth valley on this chart, not a floor: two older, cheaper cards both outrun it.

Identical VRAM, identical model support, less than half the speed

Qwen3 8B is one of the newer 8B dense models this card runs entirely in VRAM. All three of these 16GB cards fit the exact same 45 of this site's 94 tracked models natively, since VRAM capacity, not bandwidth, decides what fits. Running that model at Q8_0 on each shows what the remaining difference, bandwidth, actually costs:

Intel Arc Pro B50 16GB (this page)

15 tok/s

NVIDIA RTX 4060 Ti 16GB

19.3 tok/s

Intel Arc A770 16GB

37.5 tok/s

This card decodes Qwen3 8B at Q8_0 at 15 tok/s. NVIDIA's RTX 4060 Ti 16GB, with the same capacity and the same 45-of-94 native-fit set, reaches 19.3 tok/s (28.7% faster). Intel's own three-year-older consumer Arc A770 goes further still: 37.5 tok/s, 2.5x this card's speed, purely from its 560 GB/s versus this card's 224 GB/s. None of that changes which models fit: all three cards hit the identical 16GB ceiling. What this card buys instead of speed is ECC memory and ISV workstation certification.

Popular models for this GPU

Qwen 3.5 35B-A3B (MoE)Ornith 1.5 35B-A3B (MoE)Nemotron 3 Nano 30B Gemma 4 31B Qwen3 30B-A3B (MoE)

Models this GPU runs natively in VRAM (45)

Show 40 more

Models that fit with CPU offload (12)

These use system RAM for layers that don't fit in VRAM, so expect much slower inference.

Too large for this GPU (37)

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Browse all guides →Browse all models →Browse all GPUs →

Frequently asked questions

How much VRAM does the Intel Arc Pro B50 16GB have?: The Intel Arc Pro B50 16GB has 16 GB of GDDR6 with 224 GB/s memory bandwidth.
What is the Intel Arc Pro B50 16GB best for?: With 16 GB of VRAM, the Intel Arc Pro B50 16GB handles smaller models (7B–14B) at Q4–Q5 quantization, ideal for entry-level local LLM experimentation and lightweight inference.
What LLMs can the Intel Arc Pro B50 16GB run locally?: The Intel Arc Pro B50 16GB can run 45 of the 94 open-weight models tracked by CanItRun natively in VRAM at 8k context. Top options include: Qwen 3.8 27B at Q3_K_M, Muse Glimmer 30B at Q3_K_M, Ornith 1.5 9B at Q8_0.
Can the Intel Arc Pro B50 16GB run Gemma 4 31B?: Yes. The Intel Arc Pro B50 16GB runs Gemma 4 31B natively in VRAM at Q2_K quantization, achieving approximately 11 tokens per second.
Can the Intel Arc Pro B50 16GB run Qwen 3.6 27B?: Yes. The Intel Arc Pro B50 16GB runs Qwen 3.6 27B natively in VRAM at Q3_K_M quantization, achieving approximately 10.8 tokens per second.
Can the Intel Arc Pro B50 16GB run Qwen3 8B?: Yes. The Intel Arc Pro B50 16GB runs Qwen3 8B natively in VRAM at Q8_0 quantization, achieving approximately 15 tokens per second.