Skip to content

GPU Comparison

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

Workstation Verdict

The Quadro RTX 5000 has more VRAM (16GB vs 8GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 100% higher (448 GB/s vs 224 GB/s), translating directly to faster inference throughput.

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

VS
NVIDIA
Quadro RTX 5000
Price
£677
VRAM
16 GB GDDR6
Mem. Speed
448 GB/s
FP32 Compute
11.2 TFLOPS
Key Specs Advantage
+124% FP32 (TFLOPS) (11.2 TFLOPS vs 5 TFLOPS)
+118% CUDA Cores (3,072 vs 1,408)
+100% Bandwidth (448 GB/s vs 224 GB/s)
Price
Awaiting Data
VRAM
8 GB GDDR6
Mem. Speed
224 GB/s
FP32 Compute
5 TFLOPS
Key Specs Advantage

Comparable or lower specs

Quadro RTX 5000 vs Radeon PRO W5500: In-Depth Breakdown

VRAM: Quadro RTX 5000 vs Radeon PRO W5500

The Quadro RTX 5000 carries 16GB of VRAM versus 8GB on the Radeon PRO W5500. VRAM capacity is the primary constraint for running AI models without quantization — a 70B-parameter model in FP16 requires roughly 140GB, and even smaller models benefit from extra headroom. The 8GB advantage here means the Quadro RTX 5000 can run larger models natively and handle bigger batch sizes in production.

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 5000 delivers 448 GB/s versus 224 GB/s on the Radeon PRO W5500, a 100% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Quadro RTX 5000 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 5000 delivers 11.2 TFLOPS against 5 TFLOPS for the Radeon PRO W5500 — a 124% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Quadro RTX 5000.

Which should you buy: Quadro RTX 5000 or Radeon PRO W5500?

The Quadro RTX 5000 is the stronger choice for large-model workloads where VRAM is the bottleneck. The Radeon PRO W5500 is more economical, and sufficient if your models fit within its 8GB.

Frequently Asked Questions

Can the Quadro RTX 5000 or Radeon PRO W5500 run large language models?

Both can, but the Quadro RTX 5000 (16GB) handles larger models without quantization. The Radeon PRO W5500 (8GB) works well for smaller or heavily quantized models.

Which is faster for LLM inference, the Quadro RTX 5000 or the Radeon PRO W5500?

The Quadro RTX 5000 is faster for token generation — its 448 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 5000 has the advantage at 11.2 TFLOPS vs 5 TFLOPS, making training runs proportionally faster than on the Radeon PRO W5500.

Technical Specifications Comparison

Architecture & Cores

SpecificationQuadro RTX 5000Radeon PRO W5500
ArchitectureTuringRDNA 1
CUDA Cores (CUDA Cores / Stream Processors)3,0721,408

Memory

SpecificationQuadro RTX 5000Radeon PRO W5500
VRAM Capacity16 GB8 GB
Memory TypeGDDR6GDDR6
Memory Bus256-bit128-bit
Bandwidth448 GB/s224 GB/s

Connectivity & Power

SpecificationQuadro RTX 5000Radeon PRO W5500
InterfacePCIe 3.0 x16PCIe 4.0 x8
TDP230 W75 W
ReleasedOct 2018Nov 2019

Workstation

SpecificationQuadro RTX 5000Radeon PRO W5500
FP32 (TFLOPS)11.2 TFLOPS5 TFLOPS
ECCYesYes
NVLinkNoNo
Form factordual-slotdual-slot