GPU Comparison
Select up to 2 GPUs to analyze their pricing, performance, and specifications side-by-side.
The Quadro RTX 8000 has more VRAM (48GB vs 8GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 39% higher (624 GB/s vs 448 GB/s), translating directly to faster inference throughput. The Radeon PRO W5700 is $11,209 AED cheaper than the Quadro RTX 8000.
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Comparable or lower specs
Quadro RTX 8000 vs Radeon PRO W5700: In-Depth Breakdown
VRAM: Quadro RTX 8000 vs Radeon PRO W5700
The Quadro RTX 8000 carries 48GB 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 40GB advantage here means the Quadro RTX 8000 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 Quadro RTX 8000 delivers 624 GB/s versus 448 GB/s on the Radeon PRO W5700, a 39% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Quadro RTX 8000 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 Quadro RTX 8000 delivers 14.9 TFLOPS against 8.5 TFLOPS for the Radeon PRO W5700 — a 75% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Quadro RTX 8000.
Price & Value
The Radeon PRO W5700 lists from $1,169 AED, $11,209 AED less than the Quadro RTX 8000 at $12,379 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 8000 or Radeon PRO W5700?
Choose the Quadro RTX 8000 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 ($11,209 AED less) — a solid choice if your models fit within its 8GB and inference volume is moderate.
Frequently Asked Questions
Can the Quadro RTX 8000 or Radeon PRO W5700 run large language models?
Which is faster for LLM inference, the Quadro RTX 8000 or the Radeon PRO W5700?
Which is better for AI training?
Technical Specifications Comparison
Architecture & Cores
| Specification | Quadro RTX 8000 | Radeon PRO W5700 |
|---|---|---|
| Architecture | Turing | RDNA 1 |
| CUDA Cores (CUDA Cores / Stream Processors) | 4,608✓ | 2,304 |
Memory
| Specification | Quadro RTX 8000 | Radeon PRO W5700 |
|---|---|---|
| VRAM Capacity | 48 GB✓ | 8 GB |
| Memory Type | GDDR6 | GDDR6 |
| Memory Bus | 384-bit✓ | 256-bit |
| Bandwidth | 624 GB/s✓ | 448 GB/s |
Connectivity & Power
| Specification | Quadro RTX 8000 | Radeon PRO W5700 |
|---|---|---|
| Interface | PCIe 3.0 x16 | PCIe 4.0 x16 |
| TDP | 295 W | 130 W✓ |
| Released | Oct 2018 | Dec 2019 |
Workstation
| Specification | Quadro RTX 8000 | Radeon PRO W5700 |
|---|---|---|
| FP32 (TFLOPS) | 14.9 TFLOPS✓ | 8.5 TFLOPS |
| ECC | Yes | Yes |
| NVLink | Yes✓ | No |
| Form factor | dual-slot | dual-slot |