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Quadro RTX 5000 vs Radeon PRO W5700

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 $3,928 SEK cheaper than the Quadro RTX 5000.

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

VS
NVIDIA
Quadro RTX 5000
Price
SEK 9,575
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)
Price
SEK 5,647
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 $5,647 SEK, $3,928 SEK less than the Quadro RTX 5000 at $9,575 SEK. 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 ($3,928 SEK 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.

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 ($3,928 SEK 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 5000 and Radeon PRO W5700
SpecificationQuadro RTX 5000Radeon PRO W5700
ArchitectureTuringRDNA 1
CUDA Cores (CUDA Cores / Stream Processors)3,0722,304

Memory

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

Connectivity & Power

Connectivity & Power specifications comparison between Quadro RTX 5000 and Radeon PRO W5700
SpecificationQuadro RTX 5000Radeon PRO W5700
InterfacePCIe 3.0 x16PCIe 4.0 x16
TDP230 W130 W
ReleasedOct 2018Dec 2019

Workstation

Workstation specifications comparison between Quadro RTX 5000 and Radeon PRO W5700
SpecificationQuadro RTX 5000Radeon PRO W5700
FP32 (TFLOPS)11.2 TFLOPS8.5 TFLOPS
ECCYesYes
NVLinkNoNo
Form factordual-slotdual-slot