Quadro RTX 3000 vs Radeon PRO W5700
With 8GB on board versus 6GB for the Quadro RTX 3000, the Radeon PRO W5700 carries more headroom for large models and memory-hungry workloads. Its memory bandwidth is 33% higher (448 GB/s vs 336 GB/s), translating directly to faster inference throughput. Price-wise, the Radeon PRO W5700 undercuts the Quadro RTX 3000 by $2,729 AED.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Comparable or lower specs
Quadro RTX 3000 vs Radeon PRO W5700: In-Depth Breakdown
VRAM: Quadro RTX 3000 vs Radeon PRO W5700
With 8GB of VRAM against the Quadro RTX 3000's 6GB, the Radeon PRO W5700 has a 2GB edge. VRAM is what determines whether a model fits without quantization at all — a 70B-parameter model in FP16 needs around 140GB, and smaller models still benefit from spare capacity. That extra headroom lets the Radeon PRO W5700 load bigger models and run larger production batch sizes.
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
FP32 throughput is the metric that matters most for training, scientific simulation, and rendering work. The Radeon PRO W5700 posts 8.5 TFLOPS versus 5.3 TFLOPS on the Quadro RTX 3000, a 60% compute lead. Expect training jobs and heavy matrix math to finish proportionally sooner on the Radeon PRO W5700.
Price & Value
The Radeon PRO W5700 lists from $770 AED, $2,729 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?
For large-model workloads bottlenecked on VRAM, the Radeon PRO W5700 is the better pick. The Quadro RTX 3000 costs less ($2,729 AED cheaper) and holds up fine if your models fit inside its 6GB.
Frequently Asked Questions
Can the Quadro RTX 3000 or Radeon PRO W5700 run large language models?
Which is faster for LLM inference, the Quadro RTX 3000 or the Radeon PRO W5700?
Which is better for AI training?
Which should you buy: Quadro RTX 3000 or Radeon PRO W5700?
Technical Specifications Comparison
Architecture & Cores
| Specification | Quadro RTX 3000 | Radeon PRO W5700 |
|---|---|---|
| Architecture | Turing | RDNA 1 |
| CUDA Cores (CUDA Cores / Stream Processors) | 1,920 | 2,304✓ |
Memory
| Specification | Quadro RTX 3000 | Radeon PRO W5700 |
|---|---|---|
| VRAM Capacity | 6 GB | 8 GB✓ |
| Memory Type | GDDR6 | GDDR6 |
| Memory Bus | 192-bit | 256-bit✓ |
| Bandwidth | 336 GB/s | 448 GB/s✓ |
Connectivity & Power
| Specification | Quadro RTX 3000 | Radeon PRO W5700 |
|---|---|---|
| Interface | PCIe 3.0 x16 | PCIe 4.0 x16 |
| TDP | 160 W | 130 W✓ |
| Released | Apr 2019 | Dec 2019 |
Workstation
| Specification | Quadro RTX 3000 | Radeon PRO W5700 |
|---|---|---|
| FP32 (TFLOPS) | 5.3 TFLOPS | 8.5 TFLOPS✓ |
| ECC | Yes | Yes |
| NVLink | No | No |
| Form factor | single-slot | dual-slot |