Skip to content

Quadro GV100 vs Radeon PRO W5500

Workstation Verdict

With 32GB on board versus 8GB for the Radeon PRO W5500, the Quadro GV100 carries more headroom for large models and memory-hungry workloads. Its memory bandwidth is 288% higher (870 GB/s vs 224 GB/s), translating directly to faster inference throughput.

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

VS
Price
Reference GPU
VRAM
32 GB HBM2
Mem. Speed
870 GB/s
FP32 Compute
14.8 TFLOPS
Key Specs Advantage
+3100% Memory Bus (4096-bit vs 128-bit)
+288% Bandwidth (870 GB/s vs 224 GB/s)
+264% CUDA Cores (5,120 vs 1,408)
AMD Radeon
PRO W5500
Price
$381 CAD
VRAM
8 GB GDDR6
Mem. Speed
224 GB/s
FP32 Compute
5 TFLOPS
Key Specs Advantage

Comparable or lower specs

Quadro GV100 vs Radeon PRO W5500: In-Depth Breakdown

VRAM: Quadro GV100 vs Radeon PRO W5500

With 32GB of VRAM against the Radeon PRO W5500's 8GB, the Quadro GV100 has a 24GB edge. VRAM is what determines whether a model fits without quantization at all — a 70B-parameter model in FP16 needs around 140GB, and smaller models still benefit from spare capacity. That extra headroom lets the Quadro GV100 load bigger models and run larger production batch sizes.

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 GV100 delivers 870 GB/s versus 224 GB/s on the Radeon PRO W5500, a 288% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Quadro GV100 will produce tokens proportionally faster in bandwidth-bound workloads.

AI Training & Compute

FP32 throughput is the metric that matters most for training, scientific simulation, and rendering work. The Quadro GV100 posts 14.8 TFLOPS versus 5 TFLOPS on the Radeon PRO W5500, a 196% compute lead. Expect training jobs and heavy matrix math to finish proportionally sooner on the Quadro GV100.

Which should you buy: Quadro GV100 or Radeon PRO W5500?

For large-model workloads bottlenecked on VRAM, the Quadro GV100 is the better pick. The Radeon PRO W5500 costs less and holds up fine if your models fit inside its 8GB.

Frequently Asked Questions

Can the Quadro GV100 or Radeon PRO W5500 run large language models?

Both can, but the Quadro GV100 (32GB) 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 GV100 or the Radeon PRO W5500?

The Quadro GV100 generates tokens faster: its 870 GB/s of memory bandwidth against 224 GB/s on the Radeon PRO W5500 is the main factor behind inference throughput in autoregressive models.

Which is better for AI training?

The Quadro GV100 has the advantage at 14.8 TFLOPS vs 5 TFLOPS, making training runs proportionally faster than on the Radeon PRO W5500.

Which should you buy: Quadro GV100 or Radeon PRO W5500?

For large-model workloads bottlenecked on VRAM, the Quadro GV100 is the better pick. The Radeon PRO W5500 costs less and holds up fine if your models fit inside its 8GB.

Technical Specifications Comparison

Architecture & Cores

Architecture & Cores specifications comparison between Quadro GV100 and Radeon PRO W5500
SpecificationQuadro GV100Radeon PRO W5500
ArchitectureVoltaRDNA 1
CUDA Cores (CUDA Cores / Stream Processors)5,1201,408

Memory

Memory specifications comparison between Quadro GV100 and Radeon PRO W5500
SpecificationQuadro GV100Radeon PRO W5500
VRAM Capacity32 GB8 GB
Memory TypeHBM2GDDR6
Memory Bus4096-bit128-bit
Bandwidth870 GB/s224 GB/s

Connectivity & Power

Connectivity & Power specifications comparison between Quadro GV100 and Radeon PRO W5500
SpecificationQuadro GV100Radeon PRO W5500
InterfacePCIe 3.0 x16PCIe 4.0 x8
TDP250 W75 W
ReleasedMar 2018Nov 2019

Workstation

Workstation specifications comparison between Quadro GV100 and Radeon PRO W5500
SpecificationQuadro GV100Radeon PRO W5500
FP32 (TFLOPS)14.8 TFLOPS5 TFLOPS
ECCYesYes
NVLinkYesNo
Form factordual-slotdual-slot