GPU Comparison
Select up to 2 GPUs to analyze their pricing, performance, and specifications side-by-side.
The Quadro RTX 8000 has more VRAM (48GB vs 8GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 50% higher (624 GB/s vs 416 GB/s), translating directly to faster inference throughput. The Quadro RTX 4000 is $10,489 AED cheaper than the Quadro RTX 8000.
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
The Quadro RTX 8000 carries 48GB 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 40GB advantage here means the Quadro RTX 8000 can run larger models natively and handle bigger batch sizes in production.
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
For model training, scientific simulation, and rendering, FP32 throughput is the key metric. The Quadro RTX 8000 delivers 14.9 TFLOPS against 7.1 TFLOPS for the Quadro RTX 4000 — a 110% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Quadro RTX 8000.
Price & Value
The Quadro RTX 4000 lists from $1,890 AED, $10,489 AED less than the Quadro RTX 8000 at $12,379 AED. 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?
Choose the Quadro RTX 8000 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 ($10,489 AED 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 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?
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 |