Specifications Compared
| Spec | RTX-3070 | RTX-4000-ADA |
|---|---|---|
| TDP | 220W | 130W |
| VRAM | 8 GB | 20 GB |
| CUDA Cores | 5,888 | 6,144 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 184 | 192 |
| FP16 Performance | 20.3 TFLOPS | 26.7 TFLOPS |
| FP32 Performance | 20.3 TFLOPS | 26.7 TFLOPS |
| Memory Bandwidth | 448 GB/s | 360 GB/s |
Performance Analysis
The RTX 4000 Ada Generation outperforms the RTX 3070 Ti in raw compute with 26.7 TFLOPS in FP16 and FP32 compared to 20.3 TFLOPS, a 32 percent increase that accelerates training and inference tasks. This delta translates to faster model convergence during training and higher throughput in inference serving. The RTX 4000 Ada's 20 GB VRAM versus 8 GB enables larger batch sizes and complex models without swapping to system RAM, reducing latency in LLM fine-tuning or Stable Diffusion generation. Although the RTX 3070 Ti holds higher memory bandwidth at 448 GB/s over 360 GB/s, this advantage suits bandwidth-intensive operations like certain scientific simulations but diminishes in VRAM-constrained scenarios. The RTX 4000 Ada's 130W TDP versus 220W also supports denser cloud deployments with lower power costs.
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 |
When to Choose the RTX 3070 Ti
The RTX 3070 Ti suits budget-conscious users needing high memory bandwidth on a tight timeline. At $0.06 per hour average $0.08 per hour, it handles tasks fitting within 8 GB VRAM such as lightweight inference or Stable Diffusion with small batches where 448 GB/s bandwidth outperforms the RTX 4000 Ada's 360 GB/s.
When to Choose the RTX 4000 Ada Generation
The RTX 4000 Ada Generation excels in memory-intensive workloads leveraging its 20 GB VRAM for large LLMs or fine-tuning without OOM errors. Its 26.7 TFLOPS compute and 130W efficiency justify the $0.09 per hour starting price for production inference or scientific computing requiring Ada Lovelace optimizations.
Use Cases
The RTX 4000 Ada's 20 GB VRAM supports larger batches and models during training, unlike the RTX 3070 Ti's 8 GB limit. Its 26.7 TFLOPS exceeds the 20.3 TFLOPS for quicker iterations.
20 GB VRAM on the RTX 4000 Ada handles high-concurrency inference for bigger LLMs without quantization compromises. The 26.7 TFLOPS ensures higher throughput than 20.3 TFLOPS.
Fine-tuning benefits from 20 GB VRAM for parameter-efficient methods on the RTX 4000 Ada. Superior 26.7 TFLOPS compute speeds up epochs over the RTX 3070 Ti.
Stable Diffusion fits in 8 GB VRAM on RTX 3070 Ti for basic generations, but RTX 4000 Ada's 20 GB enables higher resolutions. Bandwidth edge of 448 GB/s on Ti aids some pipelines.
RTX 3070 Ti's 448 GB/s bandwidth accelerates data-heavy simulations better than 360 GB/s. Lower $0.08 per hour cost suits non-VRAM-bound tasks.
Frequently Asked Questions
What is the VRAM difference between RTX 3070 Ti and RTX 4000 Ada?▾
The RTX 3070 Ti has 8 GB GDDR6 VRAM. The RTX 4000 Ada Generation provides 20 GB GDDR6, allowing larger models and batch sizes.
Which has higher compute performance?▾
RTX 4000 Ada delivers 26.7 TFLOPS in FP16 and FP32. RTX 3070 Ti offers 20.3 TFLOPS, making Ada 32 percent faster.
How do cloud prices compare?▾
RTX 3070 Ti starts at $0.06 per hour, averaging $0.08 per hour across two offers. RTX 4000 Ada starts at $0.09 per hour, averaging $0.27 per hour over ten offers.
Which GPU is more power efficient?▾
RTX 4000 Ada has a 130W TDP versus RTX 3070 Ti's 220W. This enables more instances per server with lower cooling needs.
Does memory bandwidth favor one GPU?▾
RTX 3070 Ti leads with 448 GB/s bandwidth over RTX 4000 Ada's 360 GB/s. This benefits bandwidth-sensitive workloads like certain simulations.
What architectures do they use?▾
RTX 3070 Ti uses Ampere from 2020. RTX 4000 Ada employs Ada Lovelace from 2023 with improved tensor cores.
Which is cheaper to rent, the RTX 3070 or the RTX 4000 Ada?▾
Cloud rental prices for both the RTX 3070 and RTX 4000 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 3070 have compared to the RTX 4000 Ada?▾
The RTX 3070 has 8 GB of GDDR6 memory. The RTX 4000 Ada has 20 GB of GDDR6 memory.
Can I find RTX 3070 and RTX 4000 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 3070 and the RTX 4000 Ada?▾
The RTX 3070 uses the Ampere architecture (2020) while the RTX 4000 Ada uses Ada Lovelace (2023). The RTX 4000 Ada delivers 1.3x the FP16 throughput and 1.2x the memory bandwidth of the RTX 3070.