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GPU Comparison

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

Workstation Verdict

Its memory bandwidth is 100% higher (448 GB/s vs 224 GB/s), translating directly to faster inference throughput. The Radeon PRO W5700 is $220 USD cheaper than the Radeon PRO W6600.

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

VS
AMD
Radeon PRO W5700
Price
$257 USD
VRAM
8 GB GDDR6
Mem. Speed
448 GB/s
FP32 Compute
8.5 TFLOPS
Key Specs Advantage
+100% Bandwidth (448 GB/s vs 224 GB/s)
+100% Memory Bus (256-bit vs 128-bit)
+13% Stream Processors (2,304 vs 2,048)

Radeon PRO W5700 vs Radeon PRO W6600: In-Depth Breakdown

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 Radeon PRO W5700 delivers 448 GB/s versus 224 GB/s on the Radeon PRO W6600, a 100% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Radeon PRO W5700 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 Radeon PRO W6600 delivers 10.4 TFLOPS against 8.5 TFLOPS for the Radeon PRO W5700 — a 22% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Radeon PRO W6600.

Price & Value

The Radeon PRO W5700 lists from $257 USD, $220 USD less than the Radeon PRO W6600 at $477 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: Radeon PRO W5700 or Radeon PRO W6600?

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 Radeon PRO W5700 or Radeon PRO W6600 run large language models?

Yes — with 8GB of VRAM each, both support a similar range of models. Memory bandwidth and compute throughput then differentiate their performance.

Which is faster for LLM inference, the Radeon PRO W5700 or the Radeon PRO W6600?

The Radeon PRO W5700 is faster for token generation — its 448 GB/s memory bandwidth vs 224 GB/s on the Radeon PRO W6600 is the primary driver of inference throughput in autoregressive models.

Which is better for AI training?

The Radeon PRO W6600 has the advantage at 10.4 TFLOPS vs 8.5 TFLOPS, making training runs proportionally faster than on the Radeon PRO W5700.

Technical Specifications Comparison

Architecture & Cores

SpecificationRadeon PRO W5700Radeon PRO W6600
ArchitectureRDNA 1RDNA 2
CUDA Cores (Stream Processors / Stream Processors)2,3042,048

Memory

SpecificationRadeon PRO W5700Radeon PRO W6600
VRAM Capacity8 GB8 GB
Memory TypeGDDR6GDDR6
Memory Bus256-bit128-bit
Bandwidth448 GB/s224 GB/s

Connectivity & Power

SpecificationRadeon PRO W5700Radeon PRO W6600
InterfacePCIe 4.0 x16PCIe 4.0 x8
TDP130 W100 W
ReleasedDec 2019Jun 2021

Workstation

SpecificationRadeon PRO W5700Radeon PRO W6600
FP32 (TFLOPS)8.5 TFLOPS10.4 TFLOPS
ECCYesYes
NVLinkNoNo
Form factordual-slotdual-slot