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 8GB), 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 A1000: In-Depth Breakdown
VRAM: Arc Pro B60 vs RTX A1000
The Arc Pro B60 carries 24GB of VRAM versus 8GB on the RTX A1000. 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 16GB 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 A1000?
The Arc Pro B60 is the stronger choice for large-model workloads where VRAM is the bottleneck. The RTX A1000 is more economical, and sufficient if your models fit within its 8GB.
Frequently Asked Questions
Can the Arc Pro B60 or RTX A1000 run large language models?
Technical Specifications Comparison
Architecture & Cores
| Specification | Arc Pro B60 | RTX A1000 |
|---|---|---|
| Architecture | Xe2-HPG | Ada Lovelace |
| CUDA Cores (Shading Units / CUDA Cores) | — | 1,280 |
Memory
| Specification | Arc Pro B60 | RTX A1000 |
|---|---|---|
| VRAM Capacity | 24 GB✓ | 8 GB |
| Memory Type | GDDR6 | GDDR6 |
| Memory Bus | — | 128-bit |
| Bandwidth | — | 224 GB/s |
Connectivity & Power
| Specification | Arc Pro B60 | RTX A1000 |
|---|---|---|
| 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 A1000 |
|---|---|---|
| FP32 (TFLOPS) | — | 6 TFLOPS |
| ECC | Yes | Yes |
| NVLink | No | No |
| Form factor | dual-slot | low-profile |