Arc Pro B50 vs Arc Pro B70
With 32GB on board versus 16GB for the Arc Pro B50, the Arc Pro B70 carries more headroom for large models and memory-hungry workloads. Its memory bandwidth is 171% higher (608 GB/s vs 224 GB/s), translating directly to faster inference throughput. Price-wise, the Arc Pro B50 undercuts the Arc Pro B70 by $991 EUR.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Comparable or lower specs
Arc Pro B50 vs Arc Pro B70: In-Depth Breakdown
VRAM: Arc Pro B50 vs Arc Pro B70
With 32GB of VRAM against the Arc Pro B50's 16GB, the Arc Pro B70 has a 16GB edge. VRAM is what determines whether a model fits without quantization at all — a 70B-parameter model in FP16 needs around 140GB, and smaller models still benefit from spare capacity. That extra headroom lets the Arc Pro B70 load bigger models and run larger production batch sizes.
Inference Speed: Memory Bandwidth
Memory bandwidth determines how quickly data is fed to the compute units — it's the main bottleneck for autoregressive inference (token generation in LLMs). The Arc Pro B70 delivers 608 GB/s versus 224 GB/s on the Arc Pro B50, a 171% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Arc Pro B70 will produce tokens proportionally faster in bandwidth-bound workloads.
AI Training & Compute
FP32 throughput is the metric that matters most for training, scientific simulation, and rendering work. The Arc Pro B70 posts 22.9 TFLOPS versus 10.65 TFLOPS on the Arc Pro B50, a 115% compute lead. Expect training jobs and heavy matrix math to finish proportionally sooner on the Arc Pro B70.
Price & Value
The Arc Pro B50 lists from $509 EUR, $991 EUR less than the Arc Pro B70 at $1,500 EUR. For budget-constrained teams, the savings may outweigh the spec gap — especially if the smaller card covers your typical workload.
Which should you buy: Arc Pro B50 or Arc Pro B70?
Go with the Arc Pro B70 if you need maximum capacity: it's ahead on VRAM, bandwidth, and compute, so it's the stronger fit for large models and training jobs. The Arc Pro B50 is the cheaper pick ($991 EUR less) — worth it if your models already fit within its 16GB and you're not running heavy inference volume.
Frequently Asked Questions
Can the Arc Pro B50 or Arc Pro B70 run large language models?
Which is faster for LLM inference, the Arc Pro B50 or the Arc Pro B70?
Which is better for AI training?
Which should you buy: Arc Pro B50 or Arc Pro B70?
Technical Specifications Comparison
Architecture & Cores
| Specification | Arc Pro B50 | Arc Pro B70 |
|---|---|---|
| Architecture | Xe2-HPG | Xe2-HPG |
| CUDA Cores (Shading Units / Shading Units) | 2,048 | 4,096✓ |
Memory
| Specification | Arc Pro B50 | Arc Pro B70 |
|---|---|---|
| VRAM Capacity | 16 GB | 32 GB✓ |
| Memory Type | GDDR6 | GDDR6 |
| Memory Bus | 128-bit | 256-bit✓ |
| Bandwidth | 224 GB/s | 608 GB/s✓ |
Connectivity & Power
| Specification | Arc Pro B50 | Arc Pro B70 |
|---|---|---|
| Interface | PCIe 5.0 x8 | PCIe 5.0 x16 |
| TDP | 70 W✓ | 230 W |
| Released | Sep 2025 | Mar 2026 |
Workstation
| Specification | Arc Pro B50 | Arc Pro B70 |
|---|---|---|
| FP32 (TFLOPS) | 10.65 TFLOPS | 22.9 TFLOPS✓ |
| ECC | Yes | Yes |
| NVLink | No | No |
| Form factor | low-profile | dual-slot |