Quadro RTX 5000 vs Quadro RTX 8000
The Quadro RTX 8000 has more VRAM (48GB vs 16GB), 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.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Comparable or lower specs
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
The rate data moves to the compute units — memory bandwidth — is what caps autoregressive inference speed (token generation in LLMs). Here the Quadro RTX 8000 reaches 624 GB/s against 448 GB/s for the Quadro RTX 5000, a 39% advantage. Once a model is resident in VRAM, token throughput tracks this figure closely, so the Quadro RTX 8000 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 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.
Which should you buy: Quadro RTX 5000 or Quadro RTX 8000?
The Quadro RTX 8000 is the stronger choice for large-model workloads where VRAM is the bottleneck. The Quadro RTX 5000 is more economical, and sufficient if your models fit within its 16GB.
Frequently Asked Questions
Can the Quadro RTX 5000 or Quadro RTX 8000 run large language models?
Which is faster for LLM inference, the Quadro RTX 5000 or the Quadro RTX 8000?
Which is better for AI training?
Which should you buy: Quadro RTX 5000 or Quadro RTX 8000?
Technical Specifications Comparison
Architecture & Cores
| Specification | Quadro RTX 5000 | Quadro RTX 8000 |
|---|---|---|
| Architecture | Turing | Turing |
| CUDA Cores (CUDA Cores / CUDA Cores) | 3,072 | 4,608✓ |
Memory
| Specification | Quadro RTX 5000 | Quadro RTX 8000 |
|---|---|---|
| VRAM Capacity | 16 GB | 48 GB✓ |
| Memory Type | GDDR6 | GDDR6 |
| Memory Bus | 256-bit | 384-bit✓ |
| Bandwidth | 448 GB/s | 624 GB/s✓ |
Connectivity & Power
| Specification | Quadro RTX 5000 | Quadro RTX 8000 |
|---|---|---|
| Interface | PCIe 3.0 x16 | PCIe 3.0 x16 |
| TDP | 230 W✓ | 295 W |
| Released | Oct 2018 | Oct 2018 |
Workstation
| Specification | Quadro RTX 5000 | Quadro RTX 8000 |
|---|---|---|
| FP32 (TFLOPS) | 11.2 TFLOPS | 14.9 TFLOPS✓ |
| ECC | Yes | Yes |
| NVLink | No | Yes✓ |
| Form factor | dual-slot | dual-slot |