Specifications Compared
| Spec | RTX-4070 | RTX-5000-ADA |
|---|---|---|
| TDP | 200W | 250W |
| VRAM | 12 GB | 32 GB |
| CUDA Cores | 5,888 | 12,800 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 184 | 400 |
| FP16 Performance | 29.1 TFLOPS | 65.3 TFLOPS |
| FP32 Performance | 29.1 TFLOPS | 65.3 TFLOPS |
| INT8 Performance | 466 TOPS | 1,044 TOPS |
| Memory Bandwidth | 504 GB/s | 576 GB/s |
Performance Analysis
Compute capabilities set the RTX 5000 Ada apart: its 65.3 TFLOPS in FP16 and FP32 outperforms the RTX 4070 Ti's 40.1 TFLOPS by 63 percent, speeding neural network training and precision computations. FP16 parity with FP32 on both GPUs supports efficient half-precision AI pipelines, but the RTX 5000 Ada's lead translates to 63 percent faster iterations in model training. Memory profiles impact real-world deployment profoundly: 32 GB VRAM on RTX 5000 Ada accommodates full-precision large language models, while 12 GB on RTX 4070 Ti necessitates quantization or smaller batches. Bandwidth of 576 GB/s on RTX 5000 Ada exceeds 504 GB/s on RTX 4070 Ti, enabling larger batch sizes in inference without transfer bottlenecks, as seen in diffusion models. TDP stands at 285 W for RTX 4070 Ti and 250 W for RTX 5000 Ada, with cloud pricing favoring the former at average $0.22 per hour.
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 |
RTX 5000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.55/GPU/hr | Available | ||
RunPod | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 10 vCPU 83GB RAM | 🌍global | $0.83/GPU/hr |
When to Choose the RTX 4070 Ti
The RTX 4070 Ti proves ideal for budget-limited projects where 12 GB GDDR6X VRAM suffices. Stable Diffusion generation or fine-tuning models under 7 billion parameters leverage its 40.1 TFLOPS performance at starting rates of $0.08 per hour. Lower average pricing of $0.22 per hour across five offers maximizes hours rented for iterative experimentation.
When to Choose the RTX 5000 Ada Generation
The RTX 5000 Ada fits demanding professional workflows needing 32 GB GDDR6 VRAM. Large LLM training or scientific simulations utilize 65.3 TFLOPS and 576 GB/s bandwidth for extensive datasets and batches. Its workstation-grade features justify $0.25 per hour starting costs in production environments.
Use Cases
RTX 5000 Ada's 32 GB VRAM and 65.3 TFLOPS handle large models and batches better than RTX 4070 Ti's 12 GB limit.
32 GB VRAM supports unquantized large LLMs; 576 GB/s bandwidth ensures high throughput over RTX 4070 Ti's 504 GB/s.
Most fine-tuning fits 12 GB VRAM; RTX 4070 Ti's $0.08/hr pricing and 40.1 TFLOPS offer cost efficiency.
Generation tasks rarely exceed 12 GB; 40.1 TFLOPS at average $0.22/hr beats RTX 5000 Ada's higher cost.
32 GB VRAM and 65.3 TFLOPS manage complex simulations; 576 GB/s bandwidth avoids memory constraints.
Frequently Asked Questions
Which GPU has more VRAM, RTX 4070 Ti or RTX 5000 Ada?▾
The RTX 5000 Ada Generation provides 32 GB GDDR6 VRAM, more than double the RTX 4070 Ti's 12 GB GDDR6X. This capacity suits large AI models. RTX 4070 Ti works for smaller workloads.
What are the current cloud prices for RTX 4070 Ti and RTX 5000 Ada?▾
RTX 4070 Ti rentals start at $0.08 per hour, averaging $0.22 per hour across five offers. RTX 5000 Ada begins at $0.25 per hour, averaging $0.51 per hour over five offers. Prices reflect performance differences.
How do FP32 performances compare between RTX 4070 Ti and RTX 5000 Ada?▾
RTX 5000 Ada achieves 65.3 TFLOPS FP32, surpassing RTX 4070 Ti's 40.1 TFLOPS by 63 percent. This boosts training speeds. Both match FP16 at those rates.
Which is better for LLM inference?▾
RTX 5000 Ada excels with 32 GB VRAM for large models and 576 GB/s bandwidth for throughput. RTX 4070 Ti handles quantized or small LLMs at lower $0.08/hr cost. Choice depends on model size.
What are the TDPs of these GPUs?▾
RTX 4070 Ti carries a 285 W TDP, while RTX 5000 Ada uses 250 W. Both employ PCIe form factors. Power aligns with cloud instance limits.
Is RTX 4070 Ti suitable for Stable Diffusion?▾
Yes, RTX 4070 Ti's 12 GB VRAM and 40.1 TFLOPS support efficient image generation. Its $0.22/hr average pricing enhances accessibility. RTX 5000 Ada overkills for typical use.
Which is cheaper to rent, the RTX 4070 or the RTX 5000 Ada?▾
Cloud rental prices for both the RTX 4070 and RTX 5000 Ada 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 RTX 4070 have compared to the RTX 5000 Ada?▾
The RTX 4070 has 12 GB of GDDR6X memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.
Can I find RTX 4070 and RTX 5000 Ada 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 RTX 4070 and the RTX 5000 Ada?▾
The RTX 4070 uses the Ada Lovelace architecture (2023) while the RTX 5000 Ada uses Ada Lovelace (2023). The RTX 5000 Ada delivers 2.2x the FP16 throughput and 1.1x the memory bandwidth of the RTX 4070.