Quadro RTX 4000 vs RTX 5000 Ada Generation
With 32GB on board versus 8GB for the Quadro RTX 4000, the RTX 5000 Ada Generation carries more headroom for large models and memory-hungry workloads. Its memory bandwidth is 38% higher (576 GB/s vs 416 GB/s), translating directly to faster inference throughput. Price-wise, the Quadro RTX 4000 undercuts the RTX 5000 Ada Generation by $4,260 USD.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Comparable or lower specs
Quadro RTX 4000 vs RTX 5000 Ada Generation: In-Depth Breakdown
VRAM: Quadro RTX 4000 vs RTX 5000 Ada Generation
With 32GB of VRAM against the Quadro RTX 4000's 8GB, the RTX 5000 Ada Generation has a 24GB 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 RTX 5000 Ada Generation 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 RTX 5000 Ada Generation delivers 576 GB/s versus 416 GB/s on the Quadro RTX 4000, a 38% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the RTX 5000 Ada Generation 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 RTX 5000 Ada Generation posts 65.3 TFLOPS versus 7.1 TFLOPS on the Quadro RTX 4000, a 820% compute lead. Expect training jobs and heavy matrix math to finish proportionally sooner on the RTX 5000 Ada Generation.
Price & Value
The Quadro RTX 4000 lists from $240 USD, $4,260 USD less than the RTX 5000 Ada Generation at $4,500 USD. 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 RTX 5000 Ada Generation?
Go with the RTX 5000 Ada Generation 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 ($4,260 USD 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 RTX 5000 Ada Generation run large language models?
Which is faster for LLM inference, the Quadro RTX 4000 or the RTX 5000 Ada Generation?
Which is better for AI training?
Which should you buy: Quadro RTX 4000 or RTX 5000 Ada Generation?
Technical Specifications Comparison
Architecture & Cores
| Specification | Quadro RTX 4000 | RTX 5000 Ada Generation |
|---|---|---|
| Architecture | Turing | Ada Lovelace |
| CUDA Cores (CUDA Cores / CUDA Cores) | 2,304 | 12,800✓ |
Memory
| Specification | Quadro RTX 4000 | RTX 5000 Ada Generation |
|---|---|---|
| VRAM Capacity | 8 GB | 32 GB✓ |
| Memory Type | GDDR6 | GDDR6 |
| Memory Bus | 256-bit | 256-bit |
| Bandwidth | 416 GB/s | 576 GB/s✓ |
Connectivity & Power
| Specification | Quadro RTX 4000 | RTX 5000 Ada Generation |
|---|---|---|
| Interface | PCIe 3.0 x16 | PCIe 4.0 x16 |
| TDP | 160 W✓ | 250 W |
| Released | Oct 2018 | — |
Workstation
| Specification | Quadro RTX 4000 | RTX 5000 Ada Generation |
|---|---|---|
| FP32 (TFLOPS) | 7.1 TFLOPS | 65.3 TFLOPS✓ |
| ECC | Yes | Yes |
| NVLink | No | No |
| Form factor | single-slot | dual-slot |