Quadro GV100 vs Quadro RTX 6000
The Quadro GV100 has more VRAM (32GB vs 24GB), making it better suited for large models and memory-intensive workloads. Memory bandwidth runs 39% ahead (870 GB/s versus 624 GB/s), which feeds straight through into quicker inference. The Quadro RTX 6000 is $5,826 EUR cheaper than the Quadro GV100.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Quadro GV100 vs Quadro RTX 6000: In-Depth Breakdown
VRAM: Quadro GV100 vs Quadro RTX 6000
The Quadro GV100 carries 32GB of VRAM versus 24GB on the Quadro RTX 6000. 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 8GB advantage here means the Quadro GV100 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 GV100 reaches 870 GB/s against 624 GB/s for the Quadro RTX 6000, a 39% advantage. Once a model is resident in VRAM, token throughput tracks this figure closely, so the Quadro GV100 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 14.8 TFLOPS for the Quadro GV100 — a 10% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Quadro RTX 6000.
Price & Value
Pricing starts at $5,198 EUR for the Quadro RTX 6000, a $5,826 EUR saving over the Quadro GV100's $11,024 EUR. 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 GV100 or Quadro RTX 6000?
The Quadro GV100 is the stronger choice for large-model workloads where VRAM is the bottleneck. The Quadro RTX 6000 is more economical at $5,826 EUR less, and sufficient if your models fit within its 24GB.
Frequently Asked Questions
Can the Quadro GV100 or Quadro RTX 6000 run large language models?
Which is faster for LLM inference, the Quadro GV100 or the Quadro RTX 6000?
Which is better for AI training?
Which should you buy: Quadro GV100 or Quadro RTX 6000?
Technical Specifications Comparison
Architecture & Cores
| Specification | Quadro GV100 | Quadro RTX 6000 |
|---|---|---|
| Architecture | Volta | Turing |
| CUDA Cores (CUDA Cores / CUDA Cores) | 5,120✓ | 4,608 |
Memory
| Specification | Quadro GV100 | Quadro RTX 6000 |
|---|---|---|
| VRAM Capacity | 32 GB✓ | 24 GB |
| Memory Type | HBM2 | GDDR6 |
| Memory Bus | 4096-bit✓ | 384-bit |
| Bandwidth | 870 GB/s✓ | 624 GB/s |
Connectivity & Power
| Specification | Quadro GV100 | Quadro RTX 6000 |
|---|---|---|
| Interface | PCIe 3.0 x16 | PCIe 3.0 x16 |
| TDP | 250 W✓ | 295 W |
| Released | Mar 2018 | Oct 2018 |
Workstation
| Specification | Quadro GV100 | Quadro RTX 6000 |
|---|---|---|
| FP32 (TFLOPS) | 14.8 TFLOPS | 16.3 TFLOPS✓ |
| ECC | Yes | Yes |
| NVLink | Yes | Yes |
| Form factor | dual-slot | dual-slot |