Specifications Compared
| Spec | QUADRO-RTX-8000 | RTX-4090 |
|---|---|---|
| TDP | 260W | 450W |
| VRAM | 48 GB | 24 GB |
| CUDA Cores | 4,608 | 16,384 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | PCIe 4.0 |
| Tensor Cores | 576 | 512 |
| FP16 Performance | 16.3 TFLOPS | 165 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 82.6 TFLOPS |
| Memory Bandwidth | 672 GB/s | 1,008 GB/s |
Performance Analysis
The RTX 4090 dominates in compute with 165 TFLOPS FP16 and 82.6 TFLOPS FP32, compared to the Quadro RTX 8000's 16.3 TFLOPS in both, enabling 10 times faster AI model training and up to 50 times quicker inference via FP8 at 660 TFLOPS. This performance delta translates to training a large language model in hours on the 4090 versus days on the Quadro, as higher throughput processes more operations per second. For inference, FP16 and FP8 advantages reduce latency in serving predictions. Memory bandwidth plays a key role: 1008 GB/s on the RTX 4090 supports batch sizes up to 50 percent larger than the Quadro's 672 GB/s, minimizing data bottlenecks and improving throughput in memory-bound tasks like diffusion models. However, the Quadro's 48 GB VRAM handles models exceeding 24 GB without splitting, unlike the RTX 4090.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.39/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Orlando, Florida | $0.48/GPU/hr | Available | ||
 Vast.ai | 4×NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 96 vCPU 472GB RAM 3034GB Storage | Sweden | $0.53/GPU/hr $2.13/hr total (4×) | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 128 vCPU 252GB RAM 4997GB Storage | Iceland | $0.67/GPU/hr $2.67/hr total (4×) | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 80 vCPU 157GB RAM 856GB Storage | United Kingdom | $0.67/GPU/hr $2.67/hr total (4×) | Available |
When to Choose the Quadro RTX 8000
The Quadro RTX 8000 suits workloads demanding over 24 GB VRAM, such as scientific simulations or legacy professional applications certified for Turing architecture. Its 48 GB GDDR6 capacity accommodates massive datasets without multi-GPU setups, and NVLink interconnect enables efficient scaling across nodes. Lower TDP at 260W fits power-constrained environments better than the RTX 4090's 450W.
When to Choose the RTX 4090
The RTX 4090 is ideal for modern AI and machine learning tasks leveraging its 165 TFLOPS FP16 and 660 TFLOPS FP8, drastically cutting training and inference times. Availability from $0.16 per hour across 93 cloud offers makes it cost-effective for high-throughput needs. Superior 1008 GB/s bandwidth handles large batches efficiently in PCIe 4.0 setups.
Use Cases
The RTX 4090's 165 TFLOPS FP16 and 82.6 TFLOPS FP32 enable training completion over 10 times faster than the Quadro RTX 8000's 16.3 TFLOPS. Higher 1008 GB/s bandwidth supports larger batches.
RTX 4090's FP8 at 660 TFLOPS and FP16 at 165 TFLOPS minimize latency for serving predictions, far exceeding Quadro RTX 8000's 16.3 TFLOPS FP16. Cloud pricing from $0.16 per hour adds accessibility.
Superior FP32 performance of 82.6 TFLOPS on RTX 4090 accelerates fine-tuning iterations compared to 16.3 TFLOPS on Quadro RTX 8000. 1008 GB/s bandwidth aids efficient data handling.
RTX 4090's 165 TFLOPS FP16 generates images much faster than Quadro RTX 8000's 16.3 TFLOPS, with 1008 GB/s bandwidth enabling high-resolution batches.
Quadro RTX 8000's 48 GB VRAM handles large simulations exceeding 24 GB, unlike RTX 4090. NVLink supports multi-GPU scaling for complex computations.
Frequently Asked Questions
Which GPU has more VRAM?▾
The Quadro RTX 8000 provides 48 GB GDDR6 VRAM, double the RTX 4090's 24 GB GDDR6X. This makes the Quadro better for memory-intensive tasks over 24 GB. RTX 4090 compensates with faster 1008 GB/s bandwidth.
Which is faster for AI training?▾
RTX 4090 leads with 165 TFLOPS FP16 and 82.6 TFLOPS FP32 versus Quadro RTX 8000's 16.3 TFLOPS in both. Training times reduce by over 10 times on the 4090. Bandwidth at 1008 GB/s further boosts efficiency.
What is the power consumption difference?▾
Quadro RTX 8000 has a 260W TDP, lower than RTX 4090's 450W. This suits power-limited setups. Higher TDP on 4090 enables its 165 TFLOPS FP16 performance.
Does the Quadro RTX 8000 support NVLink?▾
Yes, Quadro RTX 8000 uses NVLink for multi-GPU connectivity, unlike RTX 4090's PCIe 4.0. NVLink aids scaling for 48 GB VRAM workloads. RTX 4090 excels in single-GPU tasks at 660 TFLOPS FP8.
What are the cloud pricing options?▾
RTX 4090 offers from $0.16 per hour, averaging $0.48 per hour across 93 live deals. Quadro RTX 8000 has no live offers currently. This makes 4090 more accessible for rentals.
Which architecture is newer?▾
RTX 4090 uses Ada Lovelace from 2022, versus Quadro RTX 8000's Turing from 2018. Ada provides FP8 at 660 TFLOPS absent in Turing. Performance gap shows in 165 TFLOPS FP16 versus 16.3 TFLOPS.
Which is cheaper to rent, the Quadro RTX 8000 or the RTX 4090?▾
Cloud rental prices for both the Quadro RTX 8000 and RTX 4090 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the Quadro RTX 8000 have compared to the RTX 4090?▾
The Quadro RTX 8000 has 48 GB of GDDR6 memory. The RTX 4090 has 24 GB of GDDR6X memory.
Can I find Quadro RTX 8000 and RTX 4090 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the Quadro RTX 8000 and the RTX 4090?▾
The Quadro RTX 8000 uses the Turing architecture (2018) while the RTX 4090 uses Ada Lovelace (2022). The RTX 4090 delivers 10.1x the FP16 throughput and 1.5x the memory bandwidth of the Quadro RTX 8000.