Quadro RTX 6000 vs Radeon PRO W5700
The Quadro RTX 6000 has more VRAM (24GB 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 $960 USD cheaper than the Quadro RTX 6000.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Comparable or lower specs
Quadro RTX 6000 vs Radeon PRO W5700: In-Depth Breakdown
VRAM: Quadro RTX 6000 vs Radeon PRO W5700
The Quadro RTX 6000 carries 24GB 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 16GB advantage here means the Quadro RTX 6000 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 6000 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 6000 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 6000 delivers 16.3 TFLOPS against 8.5 TFLOPS for the Radeon PRO W5700 — a 92% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Quadro RTX 6000.
Price & Value
Pricing starts at $170 USD for the Radeon PRO W5700, a $960 USD saving over the Quadro RTX 6000's $1,130 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 6000 or Radeon PRO W5700?
Choose the Quadro RTX 6000 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 ($960 USD less) — a solid choice if your models fit within its 8GB and inference volume is moderate.
Frequently Asked Questions
Can the Quadro RTX 6000 or Radeon PRO W5700 run large language models?
Which is faster for LLM inference, the Quadro RTX 6000 or the Radeon PRO W5700?
Which is better for AI training?
Which should you buy: Quadro RTX 6000 or Radeon PRO W5700?
Technical Specifications Comparison
Architecture & Cores
| Specification | Quadro RTX 6000 | Radeon PRO W5700 |
|---|---|---|
| Architecture | Turing | RDNA 1 |
| CUDA Cores (CUDA Cores / Stream Processors) | 4,608✓ | 2,304 |
Memory
| Specification | Quadro RTX 6000 | Radeon PRO W5700 |
|---|---|---|
| VRAM Capacity | 24 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 6000 | 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 6000 | Radeon PRO W5700 |
|---|---|---|
| FP32 (TFLOPS) | 16.3 TFLOPS✓ | 8.5 TFLOPS |
| ECC | Yes | Yes |
| NVLink | Yes✓ | No |
| Form factor | dual-slot | dual-slot |