GPU Comparison

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

Workstation Verdict

Its memory bandwidth is 50% higher (288 GB/s vs 192 GB/s), translating directly to faster inference throughput.

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

VS
Price
Awaiting Data
VRAM
8 GB GDDR6
Mem. Speed
192 GB/s
FP32 Compute
14.5 TFLOPS
Key Specs Advantage

Comparable or lower specs

AMD
Radeon PRO W7600
Price
£2,412
VRAM
8 GB GDDR6
Mem. Speed
288 GB/s
FP32 Compute
21.5 TFLOPS
Key Specs Advantage
+50% Bandwidth (288 GB/s vs 192 GB/s)
+48% FP32 (TFLOPS) (21.5 TFLOPS vs 14.5 TFLOPS)
+33% Stream Processors (2,048 vs 1,536)

Radeon PRO W7500 vs Radeon PRO W7600: 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 W7600 delivers 288 GB/s versus 192 GB/s on the Radeon PRO W7500, a 50% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Radeon PRO W7600 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 W7600 delivers 21.5 TFLOPS against 14.5 TFLOPS for the Radeon PRO W7500 — a 48% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Radeon PRO W7600.

Which should you buy: Radeon PRO W7500 or Radeon PRO W7600?

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 W7500 or Radeon PRO W7600 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 W7500 or the Radeon PRO W7600?

The Radeon PRO W7600 is faster for token generation — its 288 GB/s memory bandwidth vs 192 GB/s on the Radeon PRO W7500 is the primary driver of inference throughput in autoregressive models.

Which is better for AI training?

The Radeon PRO W7600 has the advantage at 21.5 TFLOPS vs 14.5 TFLOPS, making training runs proportionally faster than on the Radeon PRO W7500.

Technical Specifications Comparison

Architecture & Cores

SpecificationRadeon PRO W7500Radeon PRO W7600
ArchitectureRDNA 3RDNA 3
CUDA Cores (Stream Processors / Stream Processors)1,5362,048

Memory

SpecificationRadeon PRO W7500Radeon PRO W7600
VRAM Capacity8 GB8 GB
Memory TypeGDDR6GDDR6
Memory Bus128-bit128-bit
Bandwidth192 GB/s288 GB/s

Connectivity & Power

SpecificationRadeon PRO W7500Radeon PRO W7600
InterfacePCIe 4.0 x8PCIe 4.0 x16
TDP70 W130 W
ReleasedApr 2023Apr 2023

Workstation

SpecificationRadeon PRO W7500Radeon PRO W7600
FP32 (TFLOPS)14.5 TFLOPS21.5 TFLOPS
ECCYesYes
NVLinkNoNo
Form factorlow-profiledual-slot