Specifications Compared
| Spec | QUADRO-RTX-4000 | RTX-5070 |
|---|---|---|
| TDP | 160W | 250W |
| VRAM | 8 GB | 12 GB |
| CUDA Cores | 2,304 | 6,144 |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Turing | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 288 | 192 |
| FP16 Performance | 7.1 TFLOPS | 40.6 TFLOPS |
| FP32 Performance | 7.1 TFLOPS | 40.6 TFLOPS |
| Memory Bandwidth | 416 GB/s | 448 GB/s |
Performance Analysis
Compute performance sets the RTX 5070 apart decisively: its 40.6 TFLOPS in FP16 and FP32 provides roughly 5.7 times the throughput of the Quadro RTX 4000's 7.1 TFLOPS, accelerating neural network training and inference significantly. In training scenarios, this enables processing larger datasets faster; for inference, it reduces latency in real-time applications. The identical FP16 and FP32 rates on both GPUs indicate balanced half-precision and single-precision capabilities, but the RTX 5070's scale dominates. Memory advantages further the gap: 12 GB GDDR7 versus 8 GB GDDR6 supports bigger batch sizes in model training, minimizing out-of-memory errors for large language models. Bandwidth edges at 448 GB/s over 416 GB/s enhance data transfer rates, improving efficiency in memory-bound tasks like Stable Diffusion. The RTX 5070's 250W TDP reflects its higher demands compared to 160W, yet both fit PCIe form factors.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro RTX 4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.56/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.56/GPU/hr $1.12/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.56/GPU/hr $1.12/hr total (2×) | Available |
When to Choose the Quadro RTX 4000
The Quadro RTX 4000 fits scenarios demanding professional certification and low power draw at 160W TDP, such as legacy CAD software or light visualization where 8 GB VRAM and 416 GB/s bandwidth suffice. Its stability in enterprise environments justifies the $0.56 per hour average cost for brief, non-intensive cloud sessions.
When to Choose the RTX 5070
The RTX 5070 outperforms in demanding AI and compute tasks, with 40.6 TFLOPS enabling rapid LLM training and 12 GB VRAM handling complex models at $0.08 per hour starting price. Users prioritizing speed and value select it for inference, fine-tuning, or scientific simulations over the Quadro RTX 4000's dated specs.
Use Cases
The RTX 5070's 40.6 TFLOPS and 12 GB GDDR7 VRAM manage large-scale training batches effectively, far surpassing the Quadro RTX 4000's 7.1 TFLOPS and 8 GB GDDR6.
With 40.6 TFLOPS FP16 performance, the RTX 5070 processes inferences 5.7 times faster than the Quadro RTX 4000's 7.1 TFLOPS, ideal for high-throughput serving.
RTX 5070's higher 448 GB/s bandwidth and 12 GB VRAM support efficient fine-tuning of mid-sized models, outperforming the Quadro RTX 4000's 416 GB/s and 8 GB limits.
The RTX 5070 accelerates image generation via 40.6 TFLOPS compute, handling larger resolutions better than the Quadro RTX 4000's 7.1 TFLOPS.
Light simulations fit the Quadro RTX 4000's 160W TDP and $0.56 per hour cost; intensive ones leverage RTX 5070's 40.6 TFLOPS at $0.21 average.
Frequently Asked Questions
How much faster is the RTX 5070 than the Quadro RTX 4000?▾
The RTX 5070 achieves 40.6 TFLOPS in FP16 and FP32, approximately 5.7 times the Quadro RTX 4000's 7.1 TFLOPS. This boosts training and inference speeds significantly. Memory bandwidth also improves slightly at 448 GB/s versus 416 GB/s.
What is the VRAM difference between Quadro RTX 4000 and RTX 5070?▾
The RTX 5070 provides 12 GB GDDR7 VRAM, exceeding the Quadro RTX 4000's 8 GB GDDR6. This allows larger models and batch sizes in AI tasks. Bandwidth supports this at 448 GB/s compared to 416 GB/s.
Which GPU has lower cloud pricing?▾
The RTX 5070 offers pricing from $0.08 per hour, averaging $0.21 across 6 offers, versus the Quadro RTX 4000's $0.56 average across 5 offers. This makes RTX 5070 more economical for extended use.
What are the TDP ratings for these GPUs?▾
The Quadro RTX 4000 consumes 160W TDP, lower than the RTX 5070's 250W. Both use PCIe form factors. Lower TDP suits power-sensitive environments.
Is the RTX 5070 better for AI workloads?▾
Yes, the RTX 5070's Blackwell architecture, 40.6 TFLOPS, and 12 GB VRAM excel in AI compared to Turing-based Quadro RTX 4000's 7.1 TFLOPS and 8 GB. It handles modern LLM tasks efficiently.
When was each GPU released?▾
The Quadro RTX 4000 launched in 2018 with Turing architecture. The RTX 5070 uses 2025 Blackwell architecture. This 7-year gap explains performance disparities.
Which is cheaper to rent, the Quadro RTX 4000 or the RTX 5070?▾
Cloud rental prices for both the Quadro RTX 4000 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 4000 have compared to the RTX 5070?▾
The Quadro RTX 4000 has 8 GB of GDDR6 memory. The RTX 5070 has 12 GB of GDDR7 memory.
Can I find Quadro RTX 4000 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 4000 and the RTX 5070?▾
The Quadro RTX 4000 uses the Turing architecture (2018) while the RTX 5070 uses Blackwell (2025). The RTX 5070 delivers 5.7x the FP16 throughput and 1.1x the memory bandwidth of the Quadro RTX 4000.