Arc Pro B50 vs Arc Pro B60
The Arc Pro B60 has more VRAM (24GB vs 16GB), making it better suited for large models and memory-intensive workloads. Memory bandwidth runs 104% ahead (456 GB/s versus 224 GB/s), which feeds straight through into quicker inference. The Arc Pro B50 is $195 EUR cheaper than the Arc Pro B60.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Comparable or lower specs
Arc Pro B50 vs Arc Pro B60: In-Depth Breakdown
VRAM: Arc Pro B50 vs Arc Pro B60
The Arc Pro B60 carries 24GB of VRAM versus 16GB on the Arc Pro B50. VRAM capacity is the primary constraint for running AI models without quantization — a 70B-parameter model in FP16 requires roughly 140GB, and even smaller models benefit from extra headroom. The 8GB advantage here means the Arc Pro B60 can run larger models natively and handle bigger batch sizes in production.
Inference Speed: Memory Bandwidth
The rate data moves to the compute units — memory bandwidth — is what caps autoregressive inference speed (token generation in LLMs). Here the Arc Pro B60 reaches 456 GB/s against 224 GB/s for the Arc Pro B50, a 104% advantage. Once a model is resident in VRAM, token throughput tracks this figure closely, so the Arc Pro B60 generates tokens proportionally faster on bandwidth-bound workloads.
AI Training & Compute
For model training, scientific simulation, and rendering, FP32 throughput is the key metric. The Arc Pro B60 delivers 12.29 TFLOPS against 10.65 TFLOPS for the Arc Pro B50 — a 15% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Arc Pro B60.
Price & Value
Pricing starts at $539 EUR for the Arc Pro B50, a $195 EUR saving over the Arc Pro B60's $734 EUR. Teams working within a tighter budget may find that saving worth more than the spec gap, particularly if the smaller card already covers their typical workload.
Which should you buy: Arc Pro B50 or Arc Pro B60?
Choose the Arc Pro B60 for maximum capacity — it leads on VRAM, bandwidth, and compute, making it the better fit for large models and training jobs. The Arc Pro B50 is the more budget-friendly option ($195 EUR less) — a solid choice if your models fit within its 16GB and inference volume is moderate.
Frequently Asked Questions
Can the Arc Pro B50 or Arc Pro B60 run large language models?
Which is faster for LLM inference, the Arc Pro B50 or the Arc Pro B60?
Which is better for AI training?
Which should you buy: Arc Pro B50 or Arc Pro B60?
Technical Specifications Comparison
Architecture & Cores
| Specification | Arc Pro B50 | Arc Pro B60 |
|---|---|---|
| Architecture | Xe2-HPG | Xe2-HPG |
| CUDA Cores (Shading Units / Shading Units) | 2,048 | 2,560✓ |
Memory
| Specification | Arc Pro B50 | Arc Pro B60 |
|---|---|---|
| VRAM Capacity | 16 GB | 24 GB✓ |
| Memory Type | GDDR6 | GDDR6 |
| Memory Bus | 128-bit | 192-bit✓ |
| Bandwidth | 224 GB/s | 456 GB/s✓ |
Connectivity & Power
| Specification | Arc Pro B50 | Arc Pro B60 |
|---|---|---|
| Interface | PCIe 5.0 x8 | PCIe 5.0 x8 |
| TDP | 70 W✓ | 200 W |
| Released | Sep 2025 | Jan 2025 |
Workstation
| Specification | Arc Pro B50 | Arc Pro B60 |
|---|---|---|
| FP32 (TFLOPS) | 10.65 TFLOPS | 12.29 TFLOPS✓ |
| ECC | Yes | Yes |
| NVLink | No | No |
| Form factor | low-profile | dual-slot |