GPU Comparison

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

Workstation Verdict

The Radeon PRO W5500 has more VRAM (8GB vs 6GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 50% higher (336 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 3000
Price
€56✓
VRAM
6 GB GDDR6
Mem. Speed
336 GB/s✓
FP32 Compute
5.3 TFLOPS✓
Key Specs Advantage
+50% Bandwidth (336 GB/s vs 224 GB/s)
+50% Memory Bus (192-bit vs 128-bit)
+36% CUDA Cores (1,920 vs 1,408)
AMD
Radeon PRO W5500
Price
Awaiting Data
VRAM
8 GB GDDR6✓
Mem. Speed
224 GB/s
FP32 Compute
5 TFLOPS
Key Specs Advantage

Comparable or lower specs

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Quadro RTX 3000 vs Radeon PRO W5500: In-Depth Breakdown

VRAM: Quadro RTX 3000 vs Radeon PRO W5500

The Radeon PRO W5500 carries 8GB of VRAM versus 6GB on the Quadro RTX 3000. 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 2GB advantage here means the Radeon PRO W5500 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 3000 delivers 336 GB/s versus 224 GB/s on the Radeon PRO W5500, a 50% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Quadro RTX 3000 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 3000 delivers 5.3 TFLOPS against 5 TFLOPS for the Radeon PRO W5500 — a 6% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Quadro RTX 3000.

Which should you buy: Quadro RTX 3000 or Radeon PRO W5500?

These cards suit different priorities. Choose the Radeon PRO W5500 if fitting larger models in VRAM is your constraint. Choose the Quadro RTX 3000 if your models already fit and you want faster inference throughput from its higher memory bandwidth.

Frequently Asked Questions

Can the Quadro RTX 3000 or Radeon PRO W5500 run large language models?

Both can, but the Radeon PRO W5500 (8GB) handles larger models without quantization. The Quadro RTX 3000 (6GB) works well for smaller or heavily quantized models.

Which is faster for LLM inference, the Quadro RTX 3000 or the Radeon PRO W5500?

The Quadro RTX 3000 is faster for token generation — its 336 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 3000 has the advantage at 5.3 TFLOPS vs 5 TFLOPS, making training runs proportionally faster than on the Radeon PRO W5500.

Technical Specifications Comparison

Architecture & Cores

SpecificationQuadro RTX 3000Radeon PRO W5500
ArchitectureTuringRDNA 1
CUDA Cores (CUDA Cores / Stream Processors)1,920✓1,408

Memory

SpecificationQuadro RTX 3000Radeon PRO W5500
VRAM Capacity6 GB8 GB✓
Memory TypeGDDR6GDDR6
Memory Bus192-bit✓128-bit
Bandwidth336 GB/s✓224 GB/s

Connectivity & Power

SpecificationQuadro RTX 3000Radeon PRO W5500
InterfacePCIe 3.0 x16PCIe 4.0 x8
TDP160 W75 W✓
ReleasedApr 2019Nov 2019

Workstation

SpecificationQuadro RTX 3000Radeon PRO W5500
FP32 (TFLOPS)5.3 TFLOPS✓5 TFLOPS
ECCYesYes
NVLinkNoNo
Form factorsingle-slotdual-slot
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