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 4000 is $27 CAD cheaper than the Radeon PRO W5700.

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

VS
NVIDIA
Quadro RTX 4000
Price
$399 CAD
VRAM
8 GB GDDR6
Mem. Speed
416 GB/s
FP32 Compute
7.1 TFLOPS
Key Specs Advantage

Comparable or lower specs

Price
$426 CAD
VRAM
8 GB GDDR6
Mem. Speed
448 GB/s
FP32 Compute
8.5 TFLOPS
Key Specs Advantage
+20% FP32 (TFLOPS) (8.5 TFLOPS vs 7.1 TFLOPS)
+8% Bandwidth (448 GB/s vs 416 GB/s)

Quadro RTX 4000 vs Radeon PRO W5700: In-Depth Breakdown

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 Radeon PRO W5700 delivers 448 GB/s versus 416 GB/s on the Quadro RTX 4000, a 8% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Radeon PRO W5700 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 Radeon PRO W5700 delivers 8.5 TFLOPS against 7.1 TFLOPS for the Quadro RTX 4000 — a 20% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Radeon PRO W5700.

Price & Value

The Quadro RTX 4000 lists from $399 CAD, $27 CAD less than the Radeon PRO W5700 at $426 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 4000 or Radeon PRO W5700?

Choose the Radeon PRO W5700 for maximum capacity — it leads on VRAM, bandwidth, and compute, making it the better fit for large models and training jobs. The Quadro RTX 4000 is the more budget-friendly option ($27 CAD less) — a solid choice if your models fit within its 8GB and inference volume is moderate.

Frequently Asked Questions

Can the Quadro RTX 4000 or Radeon PRO W5700 run large language models?

Yes — with 8GB of VRAM each, both support a similar range of models. Memory bandwidth and compute throughput then differentiate their performance.

Which is faster for LLM inference, the Quadro RTX 4000 or the Radeon PRO W5700?

The Radeon PRO W5700 is faster for token generation — its 448 GB/s memory bandwidth vs 416 GB/s on the Quadro RTX 4000 is the primary driver of inference throughput in autoregressive models.

Which is better for AI training?

The Radeon PRO W5700 has the advantage at 8.5 TFLOPS vs 7.1 TFLOPS, making training runs proportionally faster than on the Quadro RTX 4000.

Technical Specifications Comparison

Architecture & Cores

SpecificationQuadro RTX 4000Radeon PRO W5700
ArchitectureTuringRDNA 1
CUDA Cores (CUDA Cores / Stream Processors)2,3042,304

Memory

SpecificationQuadro RTX 4000Radeon PRO W5700
VRAM Capacity8 GB8 GB
Memory TypeGDDR6GDDR6
Memory Bus256-bit256-bit
Bandwidth416 GB/s448 GB/s

Connectivity & Power

SpecificationQuadro RTX 4000Radeon PRO W5700
InterfacePCIe 3.0 x16PCIe 4.0 x16
TDP160 W130 W
ReleasedOct 2018Dec 2019

Workstation

SpecificationQuadro RTX 4000Radeon PRO W5700
FP32 (TFLOPS)7.1 TFLOPS8.5 TFLOPS
ECCYesYes
NVLinkNoNo
Form factorsingle-slotdual-slot