GPU Comparison
Select up to 2 GPUs to analyze their pricing, performance, and specifications side-by-side.
The Arc Pro B60 has more VRAM (24GB vs 4GB), making it better suited for large models and memory-intensive workloads.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Comparable or lower specs
Comparable or lower specs
Arc Pro B60 vs RTX A400: In-Depth Breakdown
VRAM: Arc Pro B60 vs RTX A400
The Arc Pro B60 carries 24GB of VRAM versus 4GB on the RTX A400. 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 20GB advantage here means the Arc Pro B60 can run larger models natively and handle bigger batch sizes in production.
Which should you buy: Arc Pro B60 or RTX A400?
The Arc Pro B60 is the stronger choice for large-model workloads where VRAM is the bottleneck. The RTX A400 is more economical, and sufficient if your models fit within its 4GB.
Frequently Asked Questions
Can the Arc Pro B60 or RTX A400 run large language models?
Technical Specifications Comparison
Architecture & Cores
| Specification | Arc Pro B60 | RTX A400 |
|---|---|---|
| Architecture | Xe2-HPG | Ada Lovelace |
| CUDA Cores (Shading Units / CUDA Cores) | — | 768 |
Memory
| Specification | Arc Pro B60 | RTX A400 |
|---|---|---|
| VRAM Capacity | 24 GB✓ | 4 GB |
| Memory Type | GDDR6 | GDDR6 |
| Memory Bus | — | 64-bit |
| Bandwidth | — | 128 GB/s |
Connectivity & Power
| Specification | Arc Pro B60 | RTX A400 |
|---|---|---|
| Interface | PCIe 4.0 x16 | PCIe 4.0 x16 |
| TDP | 75 W | 50 W✓ |
| Released | Jan 2025 | Aug 2023 |
Workstation
| Specification | Arc Pro B60 | RTX A400 |
|---|---|---|
| FP32 (TFLOPS) | — | 3 TFLOPS |
| ECC | Yes | Yes |
| NVLink | No | No |
| Form factor | dual-slot | low-profile |