Quadro RTX 3000 vs Quadro RTX 4000
The Quadro RTX 4000 has more VRAM (8GB vs 6GB), making it better suited for large models and memory-intensive workloads. Memory bandwidth runs 24% ahead (416 GB/s versus 336 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 3000 vs Quadro RTX 4000: In-Depth Breakdown
VRAM: Quadro RTX 3000 vs Quadro RTX 4000
The Quadro RTX 4000 carries 8GB of VRAM versus 6GB on the Quadro RTX 3000. 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 2GB advantage here means the Quadro RTX 4000 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 4000 reaches 416 GB/s against 336 GB/s for the Quadro RTX 3000, a 24% advantage. Once a model is resident in VRAM, token throughput tracks this figure closely, so the Quadro RTX 4000 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 4000 delivers 7.1 TFLOPS against 5.3 TFLOPS for the Quadro RTX 3000 — a 34% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Quadro RTX 4000.
Which should you buy: Quadro RTX 3000 or Quadro RTX 4000?
The Quadro RTX 4000 is the stronger choice for large-model workloads where VRAM is the bottleneck. The Quadro RTX 3000 is more economical, and sufficient if your models fit within its 6GB.
Frequently Asked Questions
Can the Quadro RTX 3000 or Quadro RTX 4000 run large language models?
Which is faster for LLM inference, the Quadro RTX 3000 or the Quadro RTX 4000?
Which is better for AI training?
Which should you buy: Quadro RTX 3000 or Quadro RTX 4000?
Technical Specifications Comparison
Architecture & Cores
| Specification | Quadro RTX 3000 | Quadro RTX 4000 |
|---|---|---|
| Architecture | Turing | Turing |
| CUDA Cores (CUDA Cores / CUDA Cores) | 1,920 | 2,304✓ |
Memory
| Specification | Quadro RTX 3000 | Quadro RTX 4000 |
|---|---|---|
| VRAM Capacity | 6 GB | 8 GB✓ |
| Memory Type | GDDR6 | GDDR6 |
| Memory Bus | 192-bit | 256-bit✓ |
| Bandwidth | 336 GB/s | 416 GB/s✓ |
Connectivity & Power
| Specification | Quadro RTX 3000 | Quadro RTX 4000 |
|---|---|---|
| Interface | PCIe 3.0 x16 | PCIe 3.0 x16 |
| TDP | 160 W | 160 W |
| Released | Apr 2019 | Oct 2018 |
Workstation
| Specification | Quadro RTX 3000 | Quadro RTX 4000 |
|---|---|---|
| FP32 (TFLOPS) | 5.3 TFLOPS | 7.1 TFLOPS✓ |
| ECC | Yes | Yes |
| NVLink | No | No |
| Form factor | single-slot | single-slot |