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 16GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 39% higher (624 GB/s vs 448 GB/s), translating directly to faster inference throughput. The Quadro RTX 5000 is $3,643 EUR cheaper than the Quadro RTX 8000.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Quadro RTX 5000 vs Quadro RTX 8000: In-Depth Breakdown
VRAM: Quadro RTX 5000 vs Quadro RTX 8000
The Quadro RTX 8000 carries 48GB of VRAM versus 16GB on the Quadro RTX 5000. 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 32GB advantage here means the Quadro RTX 8000 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 RTX 8000 delivers 624 GB/s versus 448 GB/s on the Quadro RTX 5000, a 39% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Quadro RTX 8000 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 RTX 8000 delivers 14.9 TFLOPS against 11.2 TFLOPS for the Quadro RTX 5000 — a 33% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Quadro RTX 8000.
Price & Value
The Quadro RTX 5000 lists from $742 EUR, $3,643 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 5000 or Quadro RTX 8000?
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 Quadro RTX 5000 is the more budget-friendly option ($3,643 EUR less) — a solid choice if your models fit within its 16GB and inference volume is moderate.