Skip to content

Quadro RTX 4000 vs Radeon PRO W5500

Workstation Verdict

Memory bandwidth runs 86% ahead (416 GB/s versus 224 GB/s), which feeds straight through into quicker inference.

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

VS
NVIDIA
Quadro RTX 4000
Price
€309✓
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)
€309PNY VCQRTX4000-SB Quadro RTX 4000 Graphics Card 8GB GDDR6 7680 x 4320 Pixels PCI Express x16 3.0
Used - No Listing
AMD Radeon
PRO W5500
Price
Reference GPU
VRAM
8 GB GDDR6✓
Mem. Speed
224 GB/s
FP32 Compute
5 TFLOPS
Key Specs Advantage

Comparable or lower specs

Reference GPUNo Listing Available
Skip to Spec Sheets ↓

Quadro RTX 4000 vs Radeon PRO W5500: 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 Quadro RTX 4000 reaches 416 GB/s against 224 GB/s for the Radeon PRO W5500, a 86% advantage. Once a model is resident in VRAM, token throughput tracks this figure closely, so the Quadro RTX 4000 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 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.

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

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 Quadro RTX 4000 or Radeon PRO W5500 run large language models?

Yes, both can — each carries 8GB 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 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 leads at 7.1 TFLOPS versus 5 TFLOPS, so training runs finish proportionally sooner than on the Radeon PRO W5500.

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

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 Quadro RTX 4000 and Radeon PRO W5500
SpecificationQuadro RTX 4000Radeon PRO W5500
ArchitectureTuringRDNA 1
CUDA Cores (CUDA Cores / Stream Processors)2,304✓1,408

Memory

Memory specifications comparison between Quadro RTX 4000 and Radeon PRO W5500
SpecificationQuadro RTX 4000Radeon PRO W5500
VRAM Capacity8 GB8 GB
Memory TypeGDDR6GDDR6
Memory Bus256-bit✓128-bit
Bandwidth416 GB/s✓224 GB/s

Connectivity & Power

Connectivity & Power specifications comparison between Quadro RTX 4000 and Radeon PRO W5500
SpecificationQuadro RTX 4000Radeon PRO W5500
InterfacePCIe 3.0 x16PCIe 4.0 x8
TDP160 W75 W✓
ReleasedOct 2018Nov 2019

Workstation

Workstation specifications comparison between Quadro RTX 4000 and Radeon PRO W5500
SpecificationQuadro RTX 4000Radeon PRO W5500
FP32 (TFLOPS)7.1 TFLOPS✓5 TFLOPS
ECCYesYes
NVLinkNoNo
Form factorsingle-slotdual-slot