Specifications Compared
| Spec | QUADRO-RTX-8000 | RTX-4070 |
|---|---|---|
| TDP | 260W | 200W |
| VRAM | 48 GB | 12 GB |
| CUDA Cores | 4,608 | 5,888 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 576 | 184 |
| FP16 Performance | 16.3 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 672 GB/s | 504 GB/s |
Performance Analysis
The RTX 4070 Ti holds a clear compute advantage: 29.1 TFLOPS FP16 and FP32 versus 16.3 TFLOPS on the Quadro RTX 8000, enabling up to 78 percent faster matrix operations critical for deep learning training and inference. This FP16 and FP32 parity within each GPU simplifies scaling, but the RTX 4070 Ti's Ada tensor cores accelerate modern AI pipelines more effectively. Memory differences impact real-world use profoundly: the Quadro RTX 8000's 48 GB VRAM supports batch sizes exceeding what 12 GB allows, preventing out-of-memory errors in large-model training. Its 672 GB/s bandwidth surpasses the RTX 4070 Ti's 504 GB/s, sustaining higher data throughput for memory-bound inference. Power draw reveals further trade-offs, with the RTX 4070 Ti at 200W TDP versus 260W, yielding better density in cloud racks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the Quadro RTX 8000
The Quadro RTX 8000 suits workloads demanding vast memory capacity. Its 48 GB GDDR6 VRAM excels in scientific simulations or CAD rendering where datasets exceed 12 GB, avoiding performance penalties from system RAM fallback. NVLink interconnect enables efficient multi-GPU configurations for scaled professional visualization, unavailable on the RTX 4070 Ti.
When to Choose the RTX 4070 Ti
The RTX 4070 Ti fits budget-conscious AI and gaming cloud deployments. Higher 29.1 TFLOPS performance drives quicker LLM inference and Stable Diffusion generation compared to 16.3 TFLOPS, complemented by 200W TDP for lower operational costs. Live pricing from $0.08 per hour across 5 offers makes it accessible where the Quadro RTX 8000 lacks availability.
Use Cases
The Quadro RTX 8000's 48 GB VRAM accommodates larger models and batch sizes than the RTX 4070 Ti's 12 GB, reducing training iterations despite lower 16.3 TFLOPS.
RTX 4070 Ti's 29.1 TFLOPS FP16 outperforms the Quadro RTX 8000's 16.3 TFLOPS for high-throughput serving, with 504 GB/s bandwidth sufficient for typical requests.
The RTX 4070 Ti's higher 29.1 TFLOPS and Ada architecture speed fine-tuning cycles over the Quadro RTX 8000, while 12 GB VRAM handles most adapters.
RTX 4070 Ti leverages 29.1 TFLOPS and newer tensor cores for faster image generation than the Quadro RTX 8000's 16.3 TFLOPS on Turing.
Quadro RTX 8000's 48 GB VRAM and 672 GB/s bandwidth process extensive datasets in simulations, surpassing RTX 4070 Ti limits at 12 GB.
Frequently Asked Questions
Which GPU has more VRAM: Quadro RTX 8000 or RTX 4070 Ti?▾
The Quadro RTX 8000 provides 48 GB GDDR6 VRAM, far exceeding the RTX 4070 Ti's 12 GB GDDR6X. This makes the Quadro superior for memory-heavy tasks like large-scale simulations.
What are the FP32 performance differences?▾
The RTX 4070 Ti delivers 29.1 TFLOPS FP32, nearly double the Quadro RTX 8000's 16.3 TFLOPS. This advantage accelerates compute-intensive AI workloads on the newer GPU.
Which has higher memory bandwidth?▾
Quadro RTX 8000 achieves 672 GB/s, topping the RTX 4070 Ti's 504 GB/s. Higher bandwidth aids data transfer in bandwidth-limited applications.
What is the TDP comparison?▾
RTX 4070 Ti consumes 200W TDP, lower than the Quadro RTX 8000's 260W. This supports denser cloud deployments with reduced power costs.
Does either support NVLink?▾
The Quadro RTX 8000 includes NVLink for multi-GPU connectivity, while the RTX 4070 Ti does not. NVLink benefits professional scaling setups.
What are the cloud pricing details?▾
RTX 4070 Ti offers start from $0.08 per hour, averaging $0.22 per hour across 5 providers. Quadro RTX 8000 has no live cloud offers.
Which is cheaper to rent, the Quadro RTX 8000 or the RTX 4070?▾
Cloud rental prices for both the Quadro RTX 8000 and RTX 4070 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 4070?▾
The Quadro RTX 8000 has 48 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find Quadro RTX 8000 and RTX 4070 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 4070?▾
The Quadro RTX 8000 uses the Turing architecture (2018) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 1.8x the FP16 throughput and 1.3x the memory bandwidth of the Quadro RTX 8000.