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 24GB), making it better suited for large models and memory-intensive workloads. The Quadro RTX 6000 is $2,635 EUR cheaper than the Quadro RTX 8000.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Quadro RTX 6000 vs Quadro RTX 8000: In-Depth Breakdown
VRAM: Quadro RTX 6000 vs Quadro RTX 8000
The Quadro RTX 8000 carries 48GB 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 24GB advantage here means the Quadro RTX 8000 can run larger models natively and handle bigger batch sizes in production.
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 14.9 TFLOPS for the Quadro RTX 8000 — a 9% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Quadro RTX 6000.
Price & Value
The Quadro RTX 6000 lists from $1,750 EUR, $2,635 EUR less than the Quadro RTX 8000 at $4,385 EUR. 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 6000 or Quadro RTX 8000?
The Quadro RTX 8000 is the stronger choice for large-model workloads where VRAM is the bottleneck. The Quadro RTX 6000 is more economical at $2,635 EUR less, and sufficient if your models fit within its 24GB.