Specifications Compared
| Spec | QUADRO-RTX-6000 | RTX-4070 |
|---|---|---|
| TDP | 260W | 200W |
| VRAM | 24 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 demonstrates a clear compute advantage: its 29.1 TFLOPS in FP16 and FP32 exceeds the Quadro RTX 6000's 16.3 TFLOPS by 78 percent, accelerating deep learning training and inference significantly. This FP16 and FP32 parity in both GPUs highlights tensor core efficiency, but Ada Lovelace architecture optimizes modern frameworks better for mixed-precision operations common in transformer models. Training large neural networks benefits from the RTX 4070's higher throughput, reducing epoch times proportionally. The Quadro RTX 6000's 24 GB VRAM dwarfs the RTX 4070's 12 GB, enabling larger batch sizes without splitting across GPUs: for models approaching 12 GB, the older card avoids out-of-memory errors. Memory bandwidth tells a similar story: 672 GB/s on the Quadro RTX 6000 supports 33 percent faster data movement than 504 GB/s, minimizing stalls in bandwidth-limited inference or scientific simulations. Lower TDP on the RTX 4070 at 200W versus 260W implies better density in cloud racks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070
| 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 6000
The Quadro RTX 6000 suits workloads requiring substantial VRAM: its 24 GB capacity handles large language models or high-resolution simulations that exceed the RTX 4070's 12 GB limit. NVLink interconnect allows seamless multi-GPU configurations for scaled training, unavailable on the competitor.
When to Choose the RTX 4070
The RTX 4070 dominates cost-sensitive, compute-bound tasks: 29.1 TFLOPS outperforms 16.3 TFLOPS, and cloud pricing starts at $0.07 per hour with an average of $0.19 per hour across nine offers. Lower 200W TDP enhances efficiency in prolonged inference or fine-tuning sessions.
Use Cases
24 GB VRAM supports larger models and batch sizes than 12 GB on the RTX 4070. 672 GB/s bandwidth reduces memory bottlenecks during extensive training runs.
29.1 TFLOPS FP16 performance accelerates serving requests 78 percent faster than 16.3 TFLOPS. Low $0.07 per hour cost suits high-volume deployments.
Higher 29.1 TFLOPS speeds up iterations on datasets. Efficient 200W TDP lowers operational expenses compared to 260W.
Ada Lovelace architecture with 29.1 TFLOPS excels in generative tasks. 12 GB VRAM suffices for most image generation pipelines at lower cost.
24 GB VRAM fits complex simulations exceeding 12 GB. NVLink enables multi-GPU parallelism for large-scale computations.
Frequently Asked Questions
Which GPU has more VRAM?▾
The Quadro RTX 6000 provides 24 GB GDDR6, twice the RTX 4070's 12 GB GDDR6X. This capacity benefits memory-intensive AI models. Bandwidth reaches 672 GB/s on the Quadro versus 504 GB/s.
What is the performance difference in TFLOPS?▾
RTX 4070 achieves 29.1 TFLOPS in FP16 and FP32, surpassing Quadro RTX 6000's 16.3 TFLOPS by 78 percent. This boosts training and inference speeds. Ada Lovelace optimizations amplify real-world gains.
Which has lower power consumption?▾
RTX 4070 draws 200W TDP, below Quadro RTX 6000's 260W. Lower power aids cloud scalability and reduces costs. Efficiency pairs with 29.1 TFLOPS performance.
Is the Quadro RTX 6000 available in the cloud?▾
No live offers exist for Quadro RTX 6000 currently. RTX 4070 has nine providers from $0.07 per hour, averaging $0.19 per hour. Availability favors the newer GPU.
Does either support NVLink?▾
Quadro RTX 6000 includes NVLink for multi-GPU links. RTX 4070 lacks this interconnect. NVLink suits professional scaling needs.
Which architecture is newer?▾
RTX 4070 uses 2023 Ada Lovelace architecture, versus 2018 Turing in Quadro RTX 6000. Newer design yields 29.1 TFLOPS and better software support. Turing remains viable for VRAM-heavy tasks.
Which is cheaper to rent, the Quadro RTX 6000 or the RTX 4070?▾
Cloud rental prices for both the Quadro RTX 6000 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 6000 have compared to the RTX 4070?▾
The Quadro RTX 6000 has 24 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find Quadro RTX 6000 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 6000 and the RTX 4070?▾
The Quadro RTX 6000 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 6000.