GPU Comparison

Select up to 2 GPUs to analyze their pricing, performance, and specifications side-by-side.

Workstation Verdict

The Radeon PRO W5700 has more VRAM (8GB vs 6GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 33% higher (448 GB/s vs 336 GB/s), translating directly to faster inference throughput. The Radeon PRO W5700 is $2,330 AED cheaper than the Quadro RTX 3000.

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Quadro RTX 3000 vs Radeon PRO W5700: In-Depth Breakdown

VRAM: Quadro RTX 3000 vs Radeon PRO W5700

The Radeon PRO W5700 carries 8GB of VRAM versus 6GB on the Quadro RTX 3000. 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 2GB advantage here means the Radeon PRO W5700 can run larger models natively and handle bigger batch sizes in production.

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 336 GB/s on the Quadro RTX 3000, a 33% 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 5.3 TFLOPS for the Quadro RTX 3000 — a 60% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Radeon PRO W5700.

Price & Value

The Radeon PRO W5700 lists from $1,169 AED, $2,330 AED less than the Quadro RTX 3000 at $3,499 AED. 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 3000 or Radeon PRO W5700?

The Radeon PRO W5700 is the stronger choice for large-model workloads where VRAM is the bottleneck. The Quadro RTX 3000 is more economical at $2,330 AED less, and sufficient if your models fit within its 6GB.

Frequently Asked Questions

Can the Quadro RTX 3000 or Radeon PRO W5700 run large language models?

Both can, but the Radeon PRO W5700 (8GB) handles larger models without quantization. The Quadro RTX 3000 (6GB) works well for smaller or heavily quantized models.

Which is faster for LLM inference, the Quadro RTX 3000 or the Radeon PRO W5700?

The Radeon PRO W5700 is faster for token generation — its 448 GB/s memory bandwidth vs 336 GB/s on the Quadro RTX 3000 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 5.3 TFLOPS, making training runs proportionally faster than on the Quadro RTX 3000.

Technical Specifications Comparison

Architecture & Cores

SpecificationQuadro RTX 3000Radeon PRO W5700
ArchitectureTuringRDNA 1
CUDA Cores (CUDA Cores / Stream Processors)1,9202,304✓

Memory

SpecificationQuadro RTX 3000Radeon PRO W5700
VRAM Capacity6 GB8 GB✓
Memory TypeGDDR6GDDR6
Memory Bus192-bit256-bit✓
Bandwidth336 GB/s448 GB/s✓

Connectivity & Power

SpecificationQuadro RTX 3000Radeon PRO W5700
InterfacePCIe 3.0 x16PCIe 4.0 x16
TDP160 W130 W✓
ReleasedApr 2019Dec 2019

Workstation

SpecificationQuadro RTX 3000Radeon PRO W5700
FP32 (TFLOPS)5.3 TFLOPS8.5 TFLOPS✓
ECCYesYes
NVLinkNoNo
Form factorsingle-slotdual-slot
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