GPU Comparison
Select up to 2 GPUs to analyze their pricing, performance, and specifications side-by-side.
The RTX PRO 6000 Blackwell has more VRAM (96GB vs 16GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 700% higher (1792 GB/s vs 224 GB/s), translating directly to faster inference throughput. The Arc Pro B50 is $10,944 GBP cheaper than the RTX PRO 6000 Blackwell.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Comparable or lower specs
Arc Pro B50 vs RTX PRO 6000 Blackwell: In-Depth Breakdown
VRAM: Arc Pro B50 vs RTX PRO 6000 Blackwell
The RTX PRO 6000 Blackwell carries 96GB 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 80GB advantage here means the RTX PRO 6000 Blackwell can run larger models natively and handle bigger batch sizes in production.
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 RTX PRO 6000 Blackwell delivers 1792 GB/s versus 224 GB/s on the Arc Pro B50, a 700% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the RTX PRO 6000 Blackwell will produce tokens proportionally faster in bandwidth-bound workloads.
AI Training & Compute
For model training, scientific simulation, and rendering, FP32 throughput is the key metric. The RTX PRO 6000 Blackwell delivers 125 TFLOPS against 10.65 TFLOPS for the Arc Pro B50 — a 1074% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the RTX PRO 6000 Blackwell.
Price & Value
The Arc Pro B50 lists from $506 GBP, $10,944 GBP less than the RTX PRO 6000 Blackwell at $11,450 GBP. 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 RTX PRO 6000 Blackwell?
Choose the RTX PRO 6000 Blackwell 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 ($10,944 GBP 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 RTX PRO 6000 Blackwell run large language models?
Which is faster for LLM inference, the Arc Pro B50 or the RTX PRO 6000 Blackwell?
Which is better for AI training?
Technical Specifications Comparison
Architecture & Cores
| Specification | Arc Pro B50 | RTX PRO 6000 Blackwell |
|---|---|---|
| Architecture | Xe2-HPG | Blackwell |
| CUDA Cores (Shading Units / CUDA Cores) | 2,048 | 24,064✓ |
Memory
| Specification | Arc Pro B50 | RTX PRO 6000 Blackwell |
|---|---|---|
| VRAM Capacity | 16 GB | 96 GB✓ |
| Memory Type | GDDR6 | GDDR7 |
| Memory Bus | 128-bit | 512-bit✓ |
| Bandwidth | 224 GB/s | 1,792 GB/s✓ |
Connectivity & Power
| Specification | Arc Pro B50 | RTX PRO 6000 Blackwell |
|---|---|---|
| Interface | PCIe 5.0 x8 | PCIe 5.0 x16 |
| TDP | 70 W✓ | 600 W |
| Released | Sep 2025 | Mar 2025 |
Workstation
| Specification | Arc Pro B50 | RTX PRO 6000 Blackwell |
|---|---|---|
| FP32 (TFLOPS) | 10.65 TFLOPS | 125 TFLOPS✓ |
| ECC | Yes | Yes |
| NVLink | No | No |
| Form factor | low-profile | dual-slot |