Specifications Compared
| Spec | RTX-4070 | RTX-4090 |
|---|---|---|
| TDP | 200W | 450W |
| VRAM | 12 GB | 24 GB |
| CUDA Cores | 5,888 | 16,384 |
| Memory Type | GDDR6X | GDDR6X |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | |
| Tensor Cores | 184 | 512 |
| FP16 Performance | 29.1 TFLOPS | 165 TFLOPS |
| FP32 Performance | 29.1 TFLOPS | 82.6 TFLOPS |
| INT8 Performance | 466 TOPS | 660 TOPS |
| Memory Bandwidth | 504 GB/s | 1,008 GB/s |
Performance Analysis
Raw compute metrics reveal the RTX 4090's dominance: its 165 TFLOPS FP16 capability surpasses the RTX 4070's 29.1 TFLOPS by over five times, accelerating half-precision training and inference for large language models. FP32 performance follows suit at 82.6 TFLOPS versus 29.1 TFLOPS, benefiting single-precision scientific simulations and general compute tasks. The RTX 4090's FP8 support at 660 TFLOPS further optimizes quantized inference, unavailable on the RTX 4070. Memory specifications amplify these advantages: 24 GB GDDR6X and 1008 GB/s bandwidth enable larger batch sizes and complex models that exceed the RTX 4070's 12 GB and 504 GB/s limits. In practice, this means the RTX 4090 handles high-resolution Stable Diffusion generations or multi-GPU LLM fine-tuning without swapping, while the RTX 4070 suits smaller datasets. Power efficiency tilts toward the RTX 4070 at 200W TDP, reducing cloud costs for prolonged light loads compared to the 450W RTX 4090. Overall, spec deltas translate to 4-6x faster throughput on memory-bound workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070
| 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 4090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.39/GPU/hr | Available | ||
 Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 32 vCPU 101GB RAM 152GB Storage | Iceland | $0.40/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Orlando, Florida | $0.48/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 32 vCPU 101GB RAM 108GB Storage | Iceland | $0.53/GPU/hr | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 80 vCPU 157GB RAM 856GB Storage | United Kingdom | $0.67/GPU/hr $2.67/hr total (4×) | Available |
When to Choose the RTX 4070
The RTX 4070 excels in budget-conscious scenarios with modest demands. Its 12 GB VRAM and 29.1 TFLOPS FP16 suffice for inference on models under 7 billion parameters or Stable Diffusion at 512x512 resolutions. At $0.07 per hour starting price and 200W TDP, it minimizes expenses for prototyping, edge deployments, or multi-instance runs across nine cloud offers averaging $0.19 per hour.
When to Choose the RTX 4090
Opt for the RTX 4090 when maximum performance is essential. Its 24 GB VRAM and 165 TFLOPS FP16 handle large-scale LLM training or 4K Stable Diffusion without constraints, supported by 1008 GB/s bandwidth. Despite higher $0.16 per hour entry and $0.47 average across 99 offers, plus 450W TDP, it delivers superior speed for production workloads.
Use Cases
The RTX 4090's 165 TFLOPS FP16 and 24 GB VRAM support larger batch sizes and models exceeding 12 GB, unlike the RTX 4070's 29.1 TFLOPS and 504 GB/s bandwidth limits.
With 660 TFLOPS FP8 and 1008 GB/s bandwidth, the RTX 4090 accelerates high-throughput quantized inference for production-scale LLMs. The RTX 4070's 29.1 TFLOPS FP16 suits only smaller models.
RTX 4090's 82.6 TFLOPS FP32 and doubled VRAM enable efficient fine-tuning of 70B-parameter models. RTX 4070 constraints at 12 GB limit it to lighter adaptations.
The RTX 4090's 24 GB VRAM handles high-resolution generations and upscaling, backed by 165 TFLOPS FP16. RTX 4070's 12 GB restricts it to standard resolutions.
RTX 4070's 29.1 TFLOPS FP32 and 200W TDP fit lightweight simulations cost-effectively at $0.19 average per hour. RTX 4090's 82.6 TFLOPS scales to complex datasets.
Frequently Asked Questions
What is the VRAM difference between RTX 4070 and RTX 4090?▾
The RTX 4070 has 12 GB GDDR6X VRAM, while the RTX 4090 doubles it to 24 GB. This allows the RTX 4090 to manage larger models and batch sizes without offloading. Memory bandwidth follows: 504 GB/s for RTX 4070 versus 1008 GB/s for RTX 4090.
Which GPU has higher FP16 performance?▾
RTX 4090 achieves 165 TFLOPS FP16, over five times the RTX 4070's 29.1 TFLOPS. This gap accelerates AI training and inference significantly. FP32 is also superior at 82.6 TFLOPS on RTX 4090 versus 29.1 TFLOPS.
How do cloud prices compare?▾
RTX 4070 starts at $0.07 per hour with $0.19 average across nine offers. RTX 4090 begins at $0.16 per hour, averaging $0.47 across 99 offers. Pricing reflects performance tiers for cloud users.
What are the TDP ratings?▾
RTX 4070 draws 200W TDP, promoting efficiency in multi-GPU setups. RTX 4090 requires 450W, demanding robust power infrastructure. This affects cloud hosting costs and thermal management.
Are both GPUs on the same architecture?▾
Yes, both use Ada Lovelace: RTX 4070 from 2023 and RTX 4090 from 2022. They share PCIe form factors, with RTX 4090 specifying PCIe 4.0. Compatibility remains high for modern workloads.
Does RTX 4090 support FP8?▾
RTX 4090 offers 660 TFLOPS FP8 for optimized inference. RTX 4070 lacks this specification. It enhances quantized model deployment on the flagship GPU.
Which is cheaper to rent, the RTX 4070 or the RTX 4090?▾
Cloud rental prices for both the RTX 4070 and RTX 4090 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 4090?▾
The RTX 4070 has 12 GB of GDDR6X memory. The RTX 4090 has 24 GB of GDDR6X memory.
Can I find RTX 4070 and RTX 4090 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 4090?▾
The RTX 4070 uses the Ada Lovelace architecture (2023) while the RTX 4090 uses Ada Lovelace (2022). The RTX 4090 delivers 5.7x the FP16 throughput and 2.0x the memory bandwidth of the RTX 4070.