Quadro RTX 8000 vs Radeon PRO W5700
The Quadro RTX 8000 has more VRAM (48GB vs 8GB), making it better suited for large models and memory-intensive workloads. Memory bandwidth runs 39% ahead (624 GB/s versus 448 GB/s), which feeds straight through into quicker inference. The Radeon PRO W5700 is $2,300 USD cheaper than the Quadro RTX 8000.
Maximum Capacity Reached. Remove a model to add another. (2/2)
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
The rate data moves to the compute units — memory bandwidth — is what caps autoregressive inference speed (token generation in LLMs). Here the Quadro RTX 8000 reaches 624 GB/s against 448 GB/s for the Radeon PRO W5700, a 39% advantage. Once a model is resident in VRAM, token throughput tracks this figure closely, so the Quadro RTX 8000 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 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
Pricing starts at $170 USD for the Radeon PRO W5700, a $2,300 USD saving over the Quadro RTX 8000's $2,470 USD. 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 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 ($2,300 USD 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?
Which should you buy: Quadro RTX 8000 or Radeon PRO W5700?
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 |