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Quadro RTX 4000 vs Radeon PRO W5700

Workstation Verdict

These are both workstation-class cards; the spec breakdown below will tell you which fits your workload better.

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

VS
NVIDIA
Quadro RTX 4000
Price
£295✓
VRAM
8 GB GDDR6✓
Mem. Speed
416 GB/s
FP32 Compute
7.1 TFLOPS
Key Specs Advantage

Comparable or lower specs

£295PNY NVIDIA Quadro RTX 4000 - The World’S First Ray Tracing GPU
Used - No Listing
AMD Radeon
PRO W5700
Price
Reference GPU
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)
Reference GPUNo Listing Available
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Quadro RTX 4000 vs Radeon PRO W5700: In-Depth Breakdown

Inference Speed: Memory Bandwidth

The rate data moves to the compute units — memory bandwidth — is what caps autoregressive inference speed (token generation in LLMs). Here the Radeon PRO W5700 reaches 448 GB/s against 416 GB/s for the Quadro RTX 4000, a 8% advantage. Once a model is resident in VRAM, token throughput tracks this figure closely, so the Radeon PRO W5700 generates tokens proportionally faster on 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.

Which should you buy: Quadro RTX 4000 or Radeon PRO W5700?

Both cards serve similar workloads. Base your decision on whichever spec matters most: VRAM for model capacity, memory bandwidth for inference speed, and FP32 compute for training throughput.

Frequently Asked Questions

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

Yes, both can — each carries 8GB of VRAM, so they support a comparable range of models. From there, memory bandwidth and compute throughput are what separate 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 leads at 8.5 TFLOPS versus 7.1 TFLOPS, so training runs finish proportionally sooner than on the Quadro RTX 4000.

Which should you buy: Quadro RTX 4000 or Radeon PRO W5700?

Both cards serve similar workloads. Base your decision on whichever spec matters most: VRAM for model capacity, memory bandwidth for inference speed, and FP32 compute for training throughput.

Technical Specifications Comparison

Architecture & Cores

Architecture & Cores specifications comparison between Quadro RTX 4000 and Radeon PRO W5700
SpecificationQuadro RTX 4000Radeon PRO W5700
ArchitectureTuringRDNA 1
CUDA Cores (CUDA Cores / Stream Processors)2,3042,304

Memory

Memory specifications comparison between Quadro RTX 4000 and Radeon PRO W5700
SpecificationQuadro RTX 4000Radeon PRO W5700
VRAM Capacity8 GB8 GB
Memory TypeGDDR6GDDR6
Memory Bus256-bit256-bit
Bandwidth416 GB/s448 GB/s✓

Connectivity & Power

Connectivity & Power specifications comparison between Quadro RTX 4000 and Radeon PRO W5700
SpecificationQuadro RTX 4000Radeon PRO W5700
InterfacePCIe 3.0 x16PCIe 4.0 x16
TDP160 W130 W✓
ReleasedOct 2018Dec 2019

Workstation

Workstation specifications comparison between Quadro RTX 4000 and Radeon PRO W5700
SpecificationQuadro RTX 4000Radeon PRO W5700
FP32 (TFLOPS)7.1 TFLOPS8.5 TFLOPS✓
ECCYesYes
NVLinkNoNo
Form factorsingle-slotdual-slot