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Arc Pro B70 vs Radeon AI PRO R9700

Workstation Verdict

The Radeon AI PRO R9700 is $43 EUR cheaper than the Arc Pro B70.

Arc Pro B70 vs Radeon AI PRO R9700: In-Depth Breakdown

Inference Speed: Memory Bandwidth

The rate data moves to the compute units — memory bandwidth — is what caps autoregressive inference speed (token generation in LLMs). Here the Radeon AI PRO R9700 reaches 645 GB/s against 608 GB/s for the Arc Pro B70, a 6% advantage. Once a model is resident in VRAM, token throughput tracks this figure closely, so the Radeon AI PRO R9700 generates tokens proportionally faster on bandwidth-bound workloads.

AI Training & Compute

For model training, scientific simulation, and rendering, FP32 throughput is the key metric. The Radeon AI PRO R9700 delivers 48.8 TFLOPS against 22.9 TFLOPS for the Arc Pro B70 — a 113% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Radeon AI PRO R9700.

Price & Value

Pricing starts at $1,538 EUR for the Radeon AI PRO R9700, a $43 EUR saving over the Arc Pro B70's $1,581 EUR. Teams working within a tighter budget may find that saving worth more than the spec gap, particularly if the smaller card already covers their typical workload.

Which should you buy: Arc Pro B70 or Radeon AI PRO R9700?

Both cards serve similar workloads. Base your decision on whichever spec matters most: VRAM for model capacity, memory bandwidth for inference speed, and FP32 compute for training throughput.

Frequently Asked Questions

Can the Arc Pro B70 or Radeon AI PRO R9700 run large language models?

Yes, both can — each carries 32GB of VRAM, so they support a comparable range of models. From there, memory bandwidth and compute throughput are what separate their performance.

Which is faster for LLM inference, the Arc Pro B70 or the Radeon AI PRO R9700?

The Radeon AI PRO R9700 is faster for token generation — its 645 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 Radeon AI PRO R9700 leads at 48.8 TFLOPS versus 22.9 TFLOPS, so training runs finish proportionally sooner than on the Arc Pro B70.

Which should you buy: Arc Pro B70 or Radeon AI PRO R9700?

Both cards serve similar workloads. Base your decision on whichever spec matters most: VRAM for model capacity, memory bandwidth for inference speed, and FP32 compute for training throughput.

Technical Specifications Comparison

Architecture & Cores

Architecture & Cores specifications comparison between Arc Pro B70 and Radeon AI PRO R9700
SpecificationArc Pro B70Radeon AI PRO R9700
ArchitectureXe2-HPGRDNA 4
Process NodeTSMC N4
CUDA Cores (Shading Units / Stream Processors)4,0964,096
Ray Tracing Cores64
Tensor / AI Cores128

Clock Speeds

Clock Speeds specifications comparison between Arc Pro B70 and Radeon AI PRO R9700
SpecificationArc Pro B70Radeon AI PRO R9700
Base Clock1,660 MHz
Boost Clock2,920 MHz

Memory

Memory specifications comparison between Arc Pro B70 and Radeon AI PRO R9700
SpecificationArc Pro B70Radeon AI PRO R9700
VRAM Capacity32 GB32 GB
Memory TypeGDDR6GDDR6
Memory Bus256-bit256-bit
Memory Speed20 Gbps
Bandwidth608 GB/s644.6 GB/s

Connectivity & Power

Connectivity & Power specifications comparison between Arc Pro B70 and Radeon AI PRO R9700
SpecificationArc Pro B70Radeon AI PRO R9700
InterfacePCIe 5.0 x16PCIe 5.0 x16
TDP230 W300 W
Power Connectors1x 16-pin
ReleasedMar 2026Oct 2025

Workstation

Workstation specifications comparison between Arc Pro B70 and Radeon AI PRO R9700
SpecificationArc Pro B70Radeon AI PRO R9700
FP32 (TFLOPS)22.9 TFLOPS48.8 TFLOPS
ECCYesYes
NVLinkNoNo
Form factordual-slotdual-slot