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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 86% higher (416 GB/s vs 224 GB/s), translating directly to faster inference throughput. The Radeon PRO W5500 is $15,485 JPY cheaper than the Quadro RTX 4000.

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

VS
NVIDIA
Quadro RTX 4000
Price
¥69,435
VRAM
8 GB GDDR6
Mem. Speed
416 GB/s
FP32 Compute
7.1 TFLOPS
Key Specs Advantage
+100% Memory Bus (256-bit vs 128-bit)
+86% Bandwidth (416 GB/s vs 224 GB/s)
+64% CUDA Cores (2,304 vs 1,408)

Quadro RTX 4000 vs Radeon PRO W5500: 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 Quadro RTX 4000 delivers 416 GB/s versus 224 GB/s on the Radeon PRO W5500, a 86% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Quadro RTX 4000 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 Quadro RTX 4000 delivers 7.1 TFLOPS against 5 TFLOPS for the Radeon PRO W5500 — a 42% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Quadro RTX 4000.

Price & Value

The Radeon PRO W5500 lists from $53,950 JPY, $15,485 JPY less than the Quadro RTX 4000 at $69,435 JPY. For budget-constrained teams, the savings may outweigh the spec gap — especially if the smaller card covers your typical workload.

Which should you buy: Quadro RTX 4000 or Radeon PRO W5500?

Choose the Quadro RTX 4000 for maximum capacity — it leads on VRAM, bandwidth, and compute, making it the better fit for large models and training jobs. The Radeon PRO W5500 is the more budget-friendly option ($15,485 JPY less) — a solid choice if your models fit within its 8GB and inference volume is moderate.

Frequently Asked Questions

Can the Quadro RTX 4000 or Radeon PRO W5500 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 Quadro RTX 4000 or the Radeon PRO W5500?

The Quadro RTX 4000 is faster for token generation — its 416 GB/s memory bandwidth vs 224 GB/s on the Radeon PRO W5500 is the primary driver of inference throughput in autoregressive models.

Which is better for AI training?

The Quadro RTX 4000 has the advantage at 7.1 TFLOPS vs 5 TFLOPS, making training runs proportionally faster than on the Radeon PRO W5500.

Technical Specifications Comparison

Architecture & Cores

SpecificationQuadro RTX 4000Radeon PRO W5500
ArchitectureTuringRDNA 1
CUDA Cores (CUDA Cores / Stream Processors)2,3041,408

Memory

SpecificationQuadro RTX 4000Radeon PRO W5500
VRAM Capacity8 GB8 GB
Memory TypeGDDR6GDDR6
Memory Bus256-bit128-bit
Bandwidth416 GB/s224 GB/s

Connectivity & Power

SpecificationQuadro RTX 4000Radeon PRO W5500
InterfacePCIe 3.0 x16PCIe 4.0 x8
TDP160 W75 W
ReleasedOct 2018Nov 2019

Workstation

SpecificationQuadro RTX 4000Radeon PRO W5500
FP32 (TFLOPS)7.1 TFLOPS5 TFLOPS
ECCYesYes
NVLinkNoNo
Form factorsingle-slotdual-slot