Specifications Compared
| Spec | QUADRO-RTX-8000 | RTX-5070 |
|---|---|---|
| TDP | 260W | 250W |
| VRAM | 48 GB | 12 GB |
| CUDA Cores | 4,608 | 6,144 |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Turing | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 576 | 192 |
| FP16 Performance | 16.3 TFLOPS | 40.6 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 40.6 TFLOPS |
| Memory Bandwidth | 672 GB/s | 448 GB/s |
Performance Analysis
The RTX 5070's 40.6 TFLOPS in FP16 and FP32 dwarfs the Quadro RTX 8000's 16.3 TFLOPS: this gap accelerates neural network training and inference by reducing matrix computation times significantly. For training, higher FP32 throughput speeds gradient updates; in inference, FP16 boosts enable quicker predictions per watt.
Memory specs diverge sharply. The Quadro RTX 8000's 48 GB VRAM supports massive models or large batch sizes without offloading to system RAM, ideal for LLMs exceeding 12 GB. Its 672 GB/s bandwidth sustains high data throughput for such loads, whereas the RTX 5070's 448 GB/s and 12 GB limit batch sizes, potentially slowing memory-intensive workloads.
Power efficiency tilts slightly to the RTX 5070 at 250W TDP versus 260W: this allows denser cloud deployments. Newer Blackwell architecture in the RTX 5070 likely includes optimizations absent in 2018 Turing, enhancing real-world AI efficiency beyond raw specs.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
No live offers available at this time.
When to Choose the Quadro RTX 8000
Select the Quadro RTX 8000 for memory-intensive professional workloads. Its 48 GB GDDR6 VRAM handles large-scale simulations or LLMs that exceed the RTX 5070's 12 GB capacity, preventing out-of-memory errors. NVLink interconnect facilitates multi-GPU scaling with 672 GB/s bandwidth per card for distributed training.
When to Choose the RTX 5070
The RTX 5070 suits compute-heavy tasks prioritizing speed and cost. With 40.6 TFLOPS FP16 and FP32, it outperforms the Quadro RTX 8000's 16.3 TFLOPS in inference and fine-tuning, halving times for many models. Cloud pricing from $0.08 per hour average $0.21 per hour across six providers makes it accessible, aided by 250W TDP.
Use Cases
Quadro RTX 8000's 48 GB VRAM accommodates large models and batch sizes exceeding RTX 5070's 12 GB limit. NVLink supports multi-GPU scaling.
RTX 5070's 40.6 TFLOPS FP16 outperforms Quadro RTX 8000's 16.3 TFLOPS for faster serving. Lower pricing at $0.08 per hour aids deployment.
RTX 5070's higher 40.6 TFLOPS accelerates parameter updates versus 16.3 TFLOPS. 12 GB VRAM suffices for most fine-tuning datasets.
Blackwell architecture and 40.6 TFLOPS optimize generative tasks over Turing's 16.3 TFLOPS. Cost-effective at average $0.21 per hour.
48 GB VRAM and 672 GB/s bandwidth handle large datasets in simulations, surpassing RTX 5070's 12 GB and 448 GB/s.
Frequently Asked Questions
What is the VRAM capacity of Quadro RTX 8000 versus RTX 5070?▾
The Quadro RTX 8000 offers 48 GB GDDR6 VRAM. The RTX 5070 provides 12 GB GDDR7. This makes the Quadro better for memory-heavy tasks.
Which GPU has higher compute performance?▾
RTX 5070 achieves 40.6 TFLOPS in FP16 and FP32. Quadro RTX 8000 delivers 16.3 TFLOPS per precision. The RTX 5070 doubles performance.
What are the memory bandwidth specs?▾
Quadro RTX 8000 has 672 GB/s bandwidth. RTX 5070 offers 448 GB/s. Higher bandwidth aids larger batch processing on the Quadro.
How do TDPs compare?▾
Quadro RTX 8000 consumes 260W TDP. RTX 5070 uses 250W. The slight edge in efficiency favors denser RTX 5070 deployments.
What is the cloud pricing for RTX 5070?▾
RTX 5070 starts at $0.08 per hour, averaging $0.21 per hour across six live offers. No live pricing exists for Quadro RTX 8000.
Which architectures do they use?▾
Quadro RTX 8000 employs Turing from 2018. RTX 5070 uses Blackwell from 2025. Newer architecture brings AI optimizations to RTX 5070.
Which is cheaper to rent, the Quadro RTX 8000 or the RTX 5070?▾
Cloud rental prices for both the Quadro RTX 8000 and RTX 5070 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 5070?▾
The Quadro RTX 8000 has 48 GB of GDDR6 memory. The RTX 5070 has 12 GB of GDDR7 memory.
Can I find Quadro RTX 8000 and RTX 5070 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 5070?▾
The Quadro RTX 8000 uses the Turing architecture (2018) while the RTX 5070 uses Blackwell (2025). The RTX 5070 delivers 2.5x the FP16 throughput and 1.5x the memory bandwidth of the Quadro RTX 8000.