Skip to content

GPU Comparison

Select up to 2 GPUs to analyze their pricing, performance, and specifications side-by-side.

Workstation Verdict

The RTX PRO 6000 Blackwell has more VRAM (96GB vs 32GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 195% higher (1792 GB/s vs 608 GB/s), translating directly to faster inference throughput. The Arc Pro B70 is $10,830 USD cheaper than the RTX PRO 6000 Blackwell.

Maximum Capacity Reached. Remove a model to add another. (2/2)

Skip to Spec Sheets ↓

Arc Pro B70 vs RTX PRO 6000 Blackwell: In-Depth Breakdown

VRAM: Arc Pro B70 vs RTX PRO 6000 Blackwell

The RTX PRO 6000 Blackwell carries 96GB of VRAM versus 32GB on the Arc Pro B70. 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 64GB 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 608 GB/s on the Arc Pro B70, a 195% 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 22.9 TFLOPS for the Arc Pro B70 — a 446% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the RTX PRO 6000 Blackwell.

Price & Value

The Arc Pro B70 lists from $1,000 USD, $10,830 USD less than the RTX PRO 6000 Blackwell at $11,830 USD. 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 B70 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 B70 is the more budget-friendly option ($10,830 USD less) — a solid choice if your models fit within its 32GB and inference volume is moderate.

Frequently Asked Questions

Can the Arc Pro B70 or RTX PRO 6000 Blackwell run large language models?

Both can, but the RTX PRO 6000 Blackwell (96GB) handles larger models without quantization. The Arc Pro B70 (32GB) works well for smaller or heavily quantized models.

Which is faster for LLM inference, the Arc Pro B70 or the RTX PRO 6000 Blackwell?

The RTX PRO 6000 Blackwell is faster for token generation — its 1792 GB/s memory bandwidth vs 608 GB/s on the Arc Pro B70 is the primary driver of inference throughput in autoregressive models.

Which is better for AI training?

The RTX PRO 6000 Blackwell has the advantage at 125 TFLOPS vs 22.9 TFLOPS, making training runs proportionally faster than on the Arc Pro B70.

Technical Specifications Comparison

Architecture & Cores

SpecificationArc Pro B70RTX PRO 6000 Blackwell
ArchitectureXe2-HPGBlackwell
CUDA Cores (Shading Units / CUDA Cores)4,09624,064✓

Memory

SpecificationArc Pro B70RTX PRO 6000 Blackwell
VRAM Capacity32 GB96 GB✓
Memory TypeGDDR6GDDR7
Memory Bus256-bit512-bit✓
Bandwidth608 GB/s1,792 GB/s✓

Connectivity & Power

SpecificationArc Pro B70RTX PRO 6000 Blackwell
InterfacePCIe 5.0 x16PCIe 5.0 x16
TDP230 W✓600 W
ReleasedMar 2026Mar 2025

Workstation

SpecificationArc Pro B70RTX PRO 6000 Blackwell
FP32 (TFLOPS)22.9 TFLOPS125 TFLOPS✓
ECCYesYes
NVLinkNoNo
Form factordual-slotdual-slot
Back to Top ↑