Quadro RTX 4000 vs Quadro RTX 5000
The Quadro RTX 5000 has more VRAM (16GB vs 8GB), making it better suited for large models and memory-intensive workloads. The Quadro RTX 4000 is $7,416 SEK cheaper than the Quadro RTX 5000.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Comparable or lower specs
Quadro RTX 4000 vs Quadro RTX 5000: In-Depth Breakdown
VRAM: Quadro RTX 4000 vs Quadro RTX 5000
The Quadro RTX 5000 carries 16GB of VRAM versus 8GB on the Quadro RTX 4000. 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 RTX 5000 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 5000 reaches 448 GB/s against 416 GB/s for the Quadro RTX 4000, a 8% advantage. Once a model is resident in VRAM, token throughput tracks this figure closely, so the Quadro RTX 5000 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 5000 delivers 11.2 TFLOPS against 7.1 TFLOPS for the Quadro RTX 4000 — a 58% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Quadro RTX 5000.
Price & Value
Pricing starts at $5,600 SEK for the Quadro RTX 4000, a $7,416 SEK saving over the Quadro RTX 5000's $13,016 SEK. 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 RTX 4000 or Quadro RTX 5000?
Choose the Quadro RTX 5000 for maximum capacity — it leads on VRAM, bandwidth, and compute, making it the better fit for large models and training jobs. The Quadro RTX 4000 is the more budget-friendly option ($7,416 SEK less) — a solid choice if your models fit within its 8GB and inference volume is moderate.
Frequently Asked Questions
Can the Quadro RTX 4000 or Quadro RTX 5000 run large language models?
Which is faster for LLM inference, the Quadro RTX 4000 or the Quadro RTX 5000?
Which is better for AI training?
Which should you buy: Quadro RTX 4000 or Quadro RTX 5000?
Technical Specifications Comparison
Architecture & Cores
| Specification | Quadro RTX 4000 | Quadro RTX 5000 |
|---|---|---|
| Architecture | Turing | Turing |
| CUDA Cores (CUDA Cores / CUDA Cores) | 2,304 | 3,072✓ |
Memory
| Specification | Quadro RTX 4000 | Quadro RTX 5000 |
|---|---|---|
| VRAM Capacity | 8 GB | 16 GB✓ |
| Memory Type | GDDR6 | GDDR6 |
| Memory Bus | 256-bit | 256-bit |
| Bandwidth | 416 GB/s | 448 GB/s✓ |
Connectivity & Power
| Specification | Quadro RTX 4000 | Quadro RTX 5000 |
|---|---|---|
| Interface | PCIe 3.0 x16 | PCIe 3.0 x16 |
| TDP | 160 W✓ | 230 W |
| Released | Oct 2018 | Oct 2018 |
Workstation
| Specification | Quadro RTX 4000 | Quadro RTX 5000 |
|---|---|---|
| FP32 (TFLOPS) | 7.1 TFLOPS | 11.2 TFLOPS✓ |
| ECC | Yes | Yes |
| NVLink | No | No |
| Form factor | single-slot | dual-slot |