Specifications Compared
| Spec | RTX-4000-ADA | RTX-4070 |
|---|---|---|
| TDP | 130W | 200W |
| VRAM | 20 GB | 12 GB |
| CUDA Cores | 6,144 | 5,888 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 192 | 184 |
| FP16 Performance | 26.7 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 26.7 TFLOPS | 29.1 TFLOPS |
| INT8 Performance | 427 TOPS | 466 TOPS |
| Memory Bandwidth | 360 GB/s | 504 GB/s |
Performance Analysis
Compute performance favors the RTX 4070 Ti SUPER slightly: 29.1 TFLOPS in FP16 and FP32 versus 26.7 TFLOPS on the RTX 4000 Ada Generation. This 9% advantage accelerates training epochs and inference latency in deep learning pipelines by processing more floating-point operations per second. For FP16-heavy workloads like model training, the delta ensures marginally quicker convergence.
Memory bandwidth defines key trade-offs: the RTX 4070 Ti SUPER's 504 GB/s supports larger batch sizes during training compared to 360 GB/s on the RTX 4000 Ada Generation, reducing data loading bottlenecks. However, the RTX 4000 Ada Generation's 20 GB VRAM capacity outperforms the RTX 4070 Ti SUPER's 12 GB for inference on large models, avoiding out-of-memory errors. Higher 200 W TDP on the RTX 4070 Ti SUPER demands more power, potentially limiting multi-GPU scaling versus the 130 W efficiency of the RTX 4000 Ada Generation.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 8 vCPU 50GB RAM | 🌍global | $0.26/GPU/hr | |||
 Vast.ai | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 64 vCPU 42GB RAM 505GB Storage | Hungary | $0.40/GPU/hr | Available | ||
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 8 vCPU 50GB RAM | 🌍global | $0.44/GPU/hr | |||
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 0 vCPU 0GB RAM | 🌍global | $0.57/GPU/hr |
RTX 4070 Ti SUPER
| 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 RTX 4000 Ada Generation
The RTX 4000 Ada Generation suits memory-intensive applications: its 20 GB GDDR6 VRAM handles large LLMs during inference where the RTX 4070 Ti SUPER's 12 GB GDDR6X limits model size. Lower 130 W TDP enables denser deployments in power-constrained cloud servers. Greater availability across 10 live offers at an average of $0.27 per hour ensures reliable access.
When to Choose the RTX 4070 Ti SUPER
The RTX 4070 Ti SUPER outperforms in bandwidth-sensitive tasks: 504 GB/s memory bandwidth exceeds the RTX 4000 Ada Generation's 360 GB/s, accelerating Stable Diffusion and training with large batches. Superior 29.1 TFLOPS compute aids real-time processing. Lower average pricing of $0.17 per hour across offers provides cost savings for high-throughput workloads.
Use Cases
20 GB VRAM accommodates larger datasets and models during training phases. Lower 130 W TDP sustains long runs efficiently.
Superior 20 GB VRAM prevents out-of-memory issues for extensive LLMs. 26.7 TFLOPS FP16 performance handles high concurrency.
Both offer comparable 26.7-29.1 TFLOPS FP16/FP32; choose RTX 4000 Ada Generation for VRAM needs or RTX 4070 Ti SUPER for bandwidth.
504 GB/s bandwidth accelerates image generation pipelines. 29.1 TFLOPS compute boosts iteration speeds.
Higher 504 GB/s bandwidth and 29.1 TFLOPS FP32 excel in simulations with large data transfers.
Frequently Asked Questions
Which GPU has more VRAM, RTX 4000 Ada Generation or RTX 4070 Ti SUPER?▾
The RTX 4000 Ada Generation features 20 GB GDDR6 VRAM. The RTX 4070 Ti SUPER has 12 GB GDDR6X VRAM. This advantage makes the RTX 4000 Ada Generation ideal for large-model workloads.
What are the cloud pricing differences?▾
Both start from $0.09 per hour. The RTX 4000 Ada Generation averages $0.27 per hour across 10 live offers. The RTX 4070 Ti SUPER averages $0.17 per hour across 2 offers.
How do FP32 performances compare?▾
The RTX 4070 Ti SUPER delivers 29.1 TFLOPS FP32. The RTX 4000 Ada Generation provides 26.7 TFLOPS FP32. This gives the RTX 4070 Ti SUPER a 9% compute edge.
What is the TDP difference?▾
The RTX 4000 Ada Generation has a 130 W TDP. The RTX 4070 Ti SUPER requires 200 W TDP. Lower power on the RTX 4000 Ada Generation supports higher density in clouds.
Which has higher memory bandwidth?▾
The RTX 4070 Ti SUPER achieves 504 GB/s bandwidth. The RTX 4000 Ada Generation reaches 360 GB/s. Bandwidth superiority aids the RTX 4070 Ti SUPER in data-heavy tasks.
Are they the same architecture?▾
Both use Ada Lovelace architecture from 2023. They share PCIe form factors. Differences arise in VRAM and bandwidth specs.
Which is cheaper to rent, the RTX 4000 Ada or the RTX 4070?▾
Cloud rental prices for both the RTX 4000 Ada 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 RTX 4000 Ada have compared to the RTX 4070?▾
The RTX 4000 Ada has 20 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find RTX 4000 Ada 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 RTX 4000 Ada and the RTX 4070?▾
The RTX 4000 Ada uses the Ada Lovelace architecture (2023) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 1.1x the FP16 throughput and 1.4x the memory bandwidth of the RTX 4000 Ada.