GPU Comparison
Select up to 2 GPUs to analyze their pricing, performance, and specifications side-by-side.
The Quadro GV100 has more VRAM (32GB vs 8GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 94% higher (870 GB/s vs 448 GB/s), translating directly to faster inference throughput. The Radeon PRO W5700 is $2,570 USD cheaper than the Quadro GV100.
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Comparable or lower specs
Quadro GV100 vs Radeon PRO W5700: In-Depth Breakdown
VRAM: Quadro GV100 vs Radeon PRO W5700
The Quadro GV100 carries 32GB 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 24GB advantage here means the Quadro GV100 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 GV100 delivers 870 GB/s versus 448 GB/s on the Radeon PRO W5700, a 94% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Quadro GV100 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 GV100 delivers 14.8 TFLOPS against 8.5 TFLOPS for the Radeon PRO W5700 — a 74% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Quadro GV100.
Price & Value
The Radeon PRO W5700 lists from $257 USD, $2,570 USD less than the Quadro GV100 at $2,827 USD. 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 GV100 or Radeon PRO W5700?
Choose the Quadro GV100 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 ($2,570 USD less) — a solid choice if your models fit within its 8GB and inference volume is moderate.
Frequently Asked Questions
Can the Quadro GV100 or Radeon PRO W5700 run large language models?
Which is faster for LLM inference, the Quadro GV100 or the Radeon PRO W5700?
Which is better for AI training?
Technical Specifications Comparison
Architecture & Cores
| Specification | Quadro GV100 | Radeon PRO W5700 |
|---|---|---|
| Architecture | Volta | RDNA 1 |
| CUDA Cores (CUDA Cores / Stream Processors) | 5,120✓ | 2,304 |
Memory
| Specification | Quadro GV100 | Radeon PRO W5700 |
|---|---|---|
| VRAM Capacity | 32 GB✓ | 8 GB |
| Memory Type | HBM2 | GDDR6 |
| Memory Bus | 4096-bit✓ | 256-bit |
| Bandwidth | 870 GB/s✓ | 448 GB/s |
Connectivity & Power
| Specification | Quadro GV100 | Radeon PRO W5700 |
|---|---|---|
| Interface | PCIe 3.0 x16 | PCIe 4.0 x16 |
| TDP | 250 W | 130 W✓ |
| Released | Mar 2018 | Dec 2019 |
Workstation
| Specification | Quadro GV100 | Radeon PRO W5700 |
|---|---|---|
| FP32 (TFLOPS) | 14.8 TFLOPS✓ | 8.5 TFLOPS |
| ECC | Yes | Yes |
| NVLink | Yes✓ | No |
| Form factor | dual-slot | dual-slot |