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Quadro RTX 4000 vs Radeon PRO W5700

Workstation Verdict

The Quadro RTX 4000 is $6,867 INR cheaper than the Radeon PRO W5700.

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

VS
Price
₹42,182
VRAM
8 GB GDDR6
Mem. Speed
416 GB/s
FP32 Compute
7.1 TFLOPS
Key Specs Advantage

Comparable or lower specs

AMD Radeon
PRO W5700
Price
₹49,049
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

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.

Price & Value

Pricing starts at $42,182 INR for the Quadro RTX 4000, a $6,867 INR saving over the Radeon PRO W5700's $49,049 INR. Teams working within a tighter budget may find that saving worth more than the spec gap, particularly if the smaller card already covers their 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 ($6,867 INR 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, 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?

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 ($6,867 INR less) — a solid choice if your models fit within its 8GB and inference volume is moderate.

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