Quadro RTX 4000 vs Quadro RTX 8000
With 48GB on board versus 8GB for the Quadro RTX 4000, the Quadro RTX 8000 carries more headroom for large models and memory-hungry workloads. Its memory bandwidth is 50% higher (624 GB/s vs 416 GB/s), translating directly to faster inference throughput. Price-wise, the Quadro RTX 4000 undercuts the Quadro RTX 8000 by $3,901 EUR.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Comparable or lower specs
Quadro RTX 4000 vs Quadro RTX 8000: In-Depth Breakdown
VRAM: Quadro RTX 4000 vs Quadro RTX 8000
With 48GB of VRAM against the Quadro RTX 4000's 8GB, the Quadro RTX 8000 has a 40GB edge. VRAM is what determines whether a model fits without quantization at all — a 70B-parameter model in FP16 needs around 140GB, and smaller models still benefit from spare capacity. That extra headroom lets the Quadro RTX 8000 load bigger models and run larger production batch sizes.
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 416 GB/s on the Quadro RTX 4000, a 50% 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
FP32 throughput is the metric that matters most for training, scientific simulation, and rendering work. The Quadro RTX 8000 posts 14.9 TFLOPS versus 7.1 TFLOPS on the Quadro RTX 4000, a 110% compute lead. Expect training jobs and heavy matrix math to finish proportionally sooner on the Quadro RTX 8000.
Price & Value
The Quadro RTX 4000 lists from $309 EUR, $3,901 EUR less than the Quadro RTX 8000 at $4,210 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 4000 or Quadro RTX 8000?
Go with the Quadro RTX 8000 if you need maximum capacity: it's ahead on VRAM, bandwidth, and compute, so it's the stronger fit for large models and training jobs. The Quadro RTX 4000 is the cheaper pick ($3,901 EUR less) — worth it if your models already fit within its 8GB and you're not running heavy inference volume.
Frequently Asked Questions
Can the Quadro RTX 4000 or Quadro RTX 8000 run large language models?
Which is faster for LLM inference, the Quadro RTX 4000 or the Quadro RTX 8000?
Which is better for AI training?
Which should you buy: Quadro RTX 4000 or Quadro RTX 8000?
Technical Specifications Comparison
Architecture & Cores
| Specification | Quadro RTX 4000 | Quadro RTX 8000 |
|---|---|---|
| Architecture | Turing | Turing |
| CUDA Cores (CUDA Cores / CUDA Cores) | 2,304 | 4,608✓ |
Memory
| Specification | Quadro RTX 4000 | Quadro RTX 8000 |
|---|---|---|
| VRAM Capacity | 8 GB | 48 GB✓ |
| Memory Type | GDDR6 | GDDR6 |
| Memory Bus | 256-bit | 384-bit✓ |
| Bandwidth | 416 GB/s | 624 GB/s✓ |
Connectivity & Power
| Specification | Quadro RTX 4000 | Quadro RTX 8000 |
|---|---|---|
| Interface | PCIe 3.0 x16 | PCIe 3.0 x16 |
| TDP | 160 W✓ | 295 W |
| Released | Oct 2018 | Oct 2018 |
Workstation
| Specification | Quadro RTX 4000 | Quadro RTX 8000 |
|---|---|---|
| FP32 (TFLOPS) | 7.1 TFLOPS | 14.9 TFLOPS✓ |
| ECC | Yes | Yes |
| NVLink | No | Yes✓ |
| Form factor | single-slot | dual-slot |