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
The RTX 4070 Ti holds a compute advantage with 29.1 TFLOPS in FP16 and FP32, surpassing the RTX 4000 Ada Generation's 26.7 TFLOPS by 9 percent: this accelerates AI training and inference pipelines reliant on half-precision tensor operations. Higher throughput reduces epoch times in model training scenarios.
Memory bandwidth of 504 GB/s on the RTX 4070 Ti outperforms the 360 GB/s of the RTX 4000 Ada Generation, enabling larger batch sizes in inference servers and minimizing latency from data transfers. The RTX 4000 Ada Generation counters with 20 GB VRAM against 12 GB, accommodating bigger models or multi-GPU setups without out-of-memory errors. Lower TDP at 130W on the RTX 4000 Ada Generation versus 200W supports efficient scaling in power-limited clouds, though the RTX 4070 Ti delivers more raw performance per watt in bandwidth-bound tasks.
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
| 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 workloads needing extensive VRAM: its 20 GB capacity handles large language models or datasets exceeding the RTX 4070 Ti's 12 GB limit. Professional certifications ensure stability for enterprise fine-tuning or scientific simulations.
Lower 130W TDP fits power-constrained cloud instances, and pricing at $0.09 per hour starting point appeals for long-running memory-intensive jobs.
When to Choose the RTX 4070 Ti
The RTX 4070 Ti excels in high-throughput tasks with 29.1 TFLOPS FP16/FP32 performance and 504 GB/s bandwidth, outperforming the RTX 4000 Ada Generation's 26.7 TFLOPS and 360 GB/s. It accelerates Stable Diffusion generation or batch inference where speed dominates.
Average cloud cost of $0.22 per hour undercuts the RTX 4000 Ada Generation's $0.27, providing superior value for compute-heavy, lower-VRAM workloads.
Use Cases
The RTX 4000 Ada Generation's 20 GB VRAM supports larger models without splitting batches, unlike the 12 GB on the RTX 4070 Ti. This reduces training complexity for memory-heavy LLMs.
RTX 4070 Ti's 504 GB/s bandwidth and 29.1 TFLOPS enable higher request throughput for serving. It handles production inference efficiently despite lower VRAM.
Both offer strong 26.7 to 29.1 TFLOPS FP16 performance for parameter-efficient tuning. Choice depends on model size fitting 12 GB or needing 20 GB VRAM.
RTX 4070 Ti's higher 29.1 TFLOPS and 504 GB/s bandwidth speed up image generation cycles. It outperforms in iterative diffusion tasks.
20 GB VRAM on RTX 4000 Ada Generation manages large datasets in simulations. Lower 130W TDP aids sustained precision FP32 workloads at 26.7 TFLOPS.
Frequently Asked Questions
Which GPU has more VRAM: RTX 4000 Ada Generation or RTX 4070 Ti?▾
The RTX 4000 Ada Generation provides 20 GB GDDR6 VRAM, exceeding the RTX 4070 Ti's 12 GB GDDR6X. This advantage supports larger AI models. Bandwidth favors the RTX 4070 Ti at 504 GB/s over 360 GB/s.
What are the FP32 performance differences?▾
RTX 4070 Ti achieves 29.1 TFLOPS FP32, 9 percent above the RTX 4000 Ada Generation's 26.7 TFLOPS. Both match in FP16. This impacts training speed.
Which is cheaper in the cloud?▾
RTX 4070 Ti starts at $0.08 per hour averaging $0.22 across 5 offers, versus RTX 4000 Ada Generation's $0.09 starting and $0.27 average over 10 offers. Price-performance tilts to RTX 4070 Ti.
How do power consumptions compare?▾
RTX 4000 Ada Generation uses 130W TDP, lower than RTX 4070 Ti's 200W. This benefits dense cloud packing. Both use PCIe form factors.
Are they the same architecture?▾
Both employ Ada Lovelace from 2023 with similar tensor cores. RTX 4000 Ada Generation targets workstations; RTX 4070 Ti focuses on gaming and compute. No interconnect specified for either.
Which handles larger batch sizes better?▾
RTX 4070 Ti's 504 GB/s bandwidth supports bigger batches than 360 GB/s on RTX 4000 Ada Generation. VRAM limits RTX 4070 Ti at 12 GB versus 20 GB.
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.