Specifications Compared
| Spec | QUADRO-RTX-4000 | RTX-4070 |
|---|---|---|
| TDP | 160W | 200W |
| VRAM | 8 GB | 12 GB |
| CUDA Cores | 2,304 | 5,888 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 288 | 184 |
| FP16 Performance | 7.1 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 7.1 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 416 GB/s | 504 GB/s |
Performance Analysis
Compute performance differs dramatically between these GPUs: the RTX 4070 Ti achieves 29.1 TFLOPS in FP16 and FP32, compared to the Quadro RTX 4000's 7.1 TFLOPS, enabling four times faster matrix operations essential for deep learning. In LLM training, this delta accelerates gradient computations and backpropagation, reducing epoch times significantly. For inference, higher FP16 throughput supports more simultaneous queries, ideal for deployment servers. The Quadro RTX 4000 suits lighter loads but bottlenecks on demanding models. Memory specifications further favor the RTX 4070 Ti: 12 GB GDDR6X versus 8 GB GDDR6 allows loading larger models without quantization, while 504 GB/s bandwidth versus 416 GB/s permits bigger batch sizes in training, minimizing data transfer stalls. TDP stands at 200W for the RTX 4070 Ti against 160W, a minor increase irrelevant in cloud scaling. Overall, Ada Lovelace efficiencies compound these advantages for modern AI pipelines.
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 |
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 4000
The Quadro RTX 4000 excels in legacy professional applications requiring certified drivers, such as CAD or simulation software optimized for Turing architecture. Its 160W TDP suits power-constrained cloud instances where lower consumption matters. At $0.56 per hour average, it fits budgets avoiding overprovisioning for undemanding visualization tasks.
When to Choose the RTX 4070 Ti
The RTX 4070 Ti dominates modern machine learning workflows, leveraging 29.1 TFLOPS and 12 GB VRAM for efficient LLM fine-tuning and inference. Superior 504 GB/s bandwidth handles large datasets seamlessly. Priced from $0.08 per hour, it offers unmatched performance per dollar in cloud environments.
Use Cases
RTX 4070 Ti's 29.1 TFLOPS FP16 outperforms Quadro RTX 4000's 7.1 TFLOPS, speeding up gradient computations. Higher 504 GB/s bandwidth supports larger batches.
29.1 TFLOPS FP32 enables more queries per second than 7.1 TFLOPS. 12 GB VRAM handles bigger models without swapping.
Ada architecture's efficiency and 12 GB VRAM excel for parameter-efficient tuning. Fourfold TFLOPS gain reduces iteration time.
RTX 4070 Ti's higher bandwidth and VRAM generate images faster at high resolutions. 29.1 TFLOPS accelerates diffusion steps.
Superior FP32 performance and memory capacity tackle complex simulations. Lower pricing at $0.22 per hour average scales economically.
Frequently Asked Questions
Which GPU has more VRAM: Quadro RTX 4000 or RTX 4070 Ti?▾
The RTX 4070 Ti provides 12 GB GDDR6X VRAM, exceeding the Quadro RTX 4000's 8 GB GDDR6. This allows larger models in AI tasks. Bandwidth also favors RTX 4070 Ti at 504 GB/s over 416 GB/s.
What is the FP32 performance difference?▾
RTX 4070 Ti delivers 29.1 TFLOPS FP32, quadrupling Quadro RTX 4000's 7.1 TFLOPS. This impacts training speed directly. FP16 matches this ratio.
How do cloud prices compare?▾
Quadro RTX 4000 averages $0.56 per hour across five offers. RTX 4070 Ti starts at $0.08 per hour, averaging $0.22 per hour. RTX 4070 Ti offers better value.
Which is newer, Quadro RTX 4000 or RTX 4070 Ti?▾
RTX 4070 Ti uses 2023 Ada Lovelace architecture, versus 2018 Turing in Quadro RTX 4000. This generational gap drives performance gains. Both use PCIe form factors.
Is RTX 4070 Ti better for machine learning?▾
Yes, with 29.1 TFLOPS and 12 GB VRAM versus 7.1 TFLOPS and 8 GB. It handles larger batches via 504 GB/s bandwidth. TDP is 200W versus 160W.
Does Quadro RTX 4000 have ECC memory?▾
Specifications list 8 GB GDDR6 without ECC mention for Quadro RTX 4000. RTX 4070 Ti uses 12 GB GDDR6X similarly. Focus on compute for cloud use.
Which is cheaper to rent, the Quadro RTX 4000 or the RTX 4070?▾
Cloud rental prices for both the Quadro RTX 4000 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 4000 have compared to the RTX 4070?▾
The Quadro RTX 4000 has 8 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find Quadro RTX 4000 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 4000 and the RTX 4070?▾
The Quadro RTX 4000 uses the Turing architecture (2018) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 4.1x the FP16 throughput and 1.2x the memory bandwidth of the Quadro RTX 4000.