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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. The Radeon PRO W5700 is $573 CAD cheaper than the Quadro RTX 5000.

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

VS
Price
$999 CAD
VRAM
16 GB GDDR6
Mem. Speed
448 GB/s
FP32 Compute
11.2 TFLOPS
Key Specs Advantage
+33% CUDA Cores (3,072 vs 2,304)
+32% FP32 (TFLOPS) (11.2 TFLOPS vs 8.5 TFLOPS)
AMD
Radeon PRO W5700
Price
$426 CAD
VRAM
8 GB GDDR6
Mem. Speed
448 GB/s
FP32 Compute
8.5 TFLOPS
Key Specs Advantage

Comparable or lower specs

Quadro RTX 5000 vs Radeon PRO W5700: In-Depth Breakdown

VRAM: Quadro RTX 5000 vs Radeon PRO W5700

The Quadro RTX 5000 carries 16GB of VRAM versus 8GB on the Radeon PRO W5700. 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.

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 8.5 TFLOPS for the Radeon PRO W5700 — a 32% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Quadro RTX 5000.

Price & Value

The Radeon PRO W5700 lists from $426 CAD, $573 CAD less than the Quadro RTX 5000 at $999 CAD. 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 5000 or Radeon PRO W5700?

Choose the Quadro RTX 5000 for maximum capacity — it leads on VRAM, bandwidth, and compute, making it the better fit for large models and training jobs. The Radeon PRO W5700 is the more budget-friendly option ($573 CAD less) — a solid choice if your models fit within its 8GB and inference volume is moderate.

Frequently Asked Questions

Can the Quadro RTX 5000 or Radeon PRO W5700 run large language models?

Both can, but the Quadro RTX 5000 (16GB) handles larger models without quantization. The Radeon PRO W5700 (8GB) works well for smaller or heavily quantized models.

Which is better for AI training?

The Quadro RTX 5000 has the advantage at 11.2 TFLOPS vs 8.5 TFLOPS, making training runs proportionally faster than on the Radeon PRO W5700.

Technical Specifications Comparison

Architecture & Cores

SpecificationQuadro RTX 5000Radeon PRO W5700
ArchitectureTuringRDNA 1
CUDA Cores (CUDA Cores / Stream Processors)3,0722,304

Memory

SpecificationQuadro RTX 5000Radeon PRO W5700
VRAM Capacity16 GB8 GB
Memory TypeGDDR6GDDR6
Memory Bus256-bit256-bit
Bandwidth448 GB/s448 GB/s

Connectivity & Power

SpecificationQuadro RTX 5000Radeon PRO W5700
InterfacePCIe 3.0 x16PCIe 4.0 x16
TDP230 W130 W
ReleasedOct 2018Dec 2019

Workstation

SpecificationQuadro RTX 5000Radeon PRO W5700
FP32 (TFLOPS)11.2 TFLOPS8.5 TFLOPS
ECCYesYes
NVLinkNoNo
Form factordual-slotdual-slot